{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/attention/papers/142","list_of":"/method/attention","method":"Attention","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":142,"pages_in_order":316,"rows_per_page":100,"rows":[14101,14200],"of":31583,"counts":{"archive_papers_tagged":31583,"with_a_code_link":13473,"where_syntology_ran_a_sample":3998,"not_listed_spam_title":0,"listed":31583,"listed_where_code_ran":3998,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":3366,"every_run_a_failure_of_syntologys_instrument":632,"listed_with_a_run_with_no_instrument_failure":3366,"listed_every_run_a_failure_of_syntologys_instrument":632,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/attention","prev":"/method/attention/papers/141","next":"/method/attention/papers/143","papers":[{"paper":null,"slug":"influence-of-solution-efficiency-and-valence","title":"Influence of Solution Efficiency and Valence of Instruction on Additive and Subtractive Solution Strategies in Humans and GPT-4","date":"2024-04-25","arxiv_id":"2404.16692","n_code_links":0,"syntology":null},{"paper":"/paper/light-weight-retinal-layer-segmentation-with","slug":"light-weight-retinal-layer-segmentation-with","title":"Light-weight Retinal Layer Segmentation with Global Reasoning","date":"2024-04-25","arxiv_id":"2404.16346","n_code_links":1,"syntology":null},{"paper":"/paper/llm-based-section-identifiers-excel-on-open","slug":"llm-based-section-identifiers-excel-on-open","title":"LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications","date":"2024-04-25","arxiv_id":"2404.16294","n_code_links":1,"syntology":null},{"paper":null,"slug":"mmgrec-multimodal-generative-recommendation","title":"MMGRec: Multimodal Generative Recommendation with Transformer Model","date":"2024-04-25","arxiv_id":"2404.16555","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-scale-modeling-of-snail-mediated","title":"Multi-scale modeling of Snail-mediated response to hypoxia in tumor progression","date":"2024-04-25","arxiv_id":"2404.16769","n_code_links":0,"syntology":null},{"paper":"/paper/multimodal-information-interaction-for","slug":"multimodal-information-interaction-for","title":"Multimodal Information Interaction for Medical Image Segmentation","date":"2024-04-25","arxiv_id":"2404.16371","n_code_links":1,"syntology":null},{"paper":null,"slug":"player-driven-emergence-in-llm-driven-game","title":"Player-Driven Emergence in LLM-Driven Game Narrative","date":"2024-04-25","arxiv_id":"2404.17027","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-gpt-surprise-offering-large-language","title":"The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances","date":"2024-04-25","arxiv_id":"2407.09975","n_code_links":0,"syntology":null},{"paper":"/paper/tinychart-efficient-chart-understanding-with","slug":"tinychart-efficient-chart-understanding-with","title":"TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning","date":"2024-04-25","arxiv_id":"2404.16635","n_code_links":1,"syntology":null},{"paper":null,"slug":"utilizing-large-language-models-to-identify","title":"Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions","date":"2024-04-25","arxiv_id":"2404.17607","n_code_links":0,"syntology":null},{"paper":"/paper/worldvaluesbench-a-large-scale-benchmark","slug":"worldvaluesbench-a-large-scale-benchmark","title":"WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models","date":"2024-04-25","arxiv_id":"2404.16308","n_code_links":1,"syntology":{"ran":3,"of":5,"n_ran_checked":3,"n_instrument":0,"unverified":2,"pointer_only":5,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["demon702/worldvaluesbench"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-comprehensive-survey-on-evaluating-large","title":"A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry","date":"2024-04-24","arxiv_id":"2404.15777","n_code_links":0,"syntology":null},{"paper":null,"slug":"assessing-the-potential-of-mid-sized-language","title":"Assessing The Potential Of Mid-Sized Language Models For Clinical QA","date":"2024-04-24","arxiv_id":"2404.15894","n_code_links":0,"syntology":null},{"paper":null,"slug":"automated-creation-of-source-code-variants-of","title":"Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models","date":"2024-04-24","arxiv_id":"2404.15681","n_code_links":0,"syntology":null},{"paper":null,"slug":"bert-vs-gpt-for-financial-engineering","title":"BERT vs GPT for financial engineering","date":"2024-04-24","arxiv_id":"2405.12990","n_code_links":0,"syntology":null},{"paper":null,"slug":"can-foundational-large-language-models-assist","title":"Can Foundational Large Language Models Assist with Conducting Pharmaceuticals Manufacturing Investigations?","date":"2024-04-24","arxiv_id":"2404.15578","n_code_links":0,"syntology":null},{"paper":null,"slug":"detecting-conceptual-abstraction-in-llms","title":"Detecting Conceptual Abstraction in LLMs","date":"2024-04-24","arxiv_id":"2404.15848","n_code_links":0,"syntology":null},{"paper":"/paper/from-local-to-global-a-graph-rag-approach-to","slug":"from-local-to-global-a-graph-rag-approach-to","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","date":"2024-04-24","arxiv_id":"2404.16130","n_code_links":3,"syntology":{"ran":5,"of":5,"n_ran_checked":5,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":null,"slug":"investigating-the-prompt-leakage-effect-and","title":"Prompt Leakage effect and defense strategies for multi-turn LLM interactions","date":"2024-04-24","arxiv_id":"2404.16251","n_code_links":0,"syntology":null},{"paper":"/paper/learning-long-form-video-prior-via-generative","slug":"learning-long-form-video-prior-via-generative","title":"Learning Long-form Video Prior via Generative Pre-Training","date":"2024-04-24","arxiv_id":"2404.15909","n_code_links":1,"syntology":null},{"paper":null,"slug":"mim-mask-in-mask-self-supervised-pre-training","title":"MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis","date":"2024-04-24","arxiv_id":"2404.15580","n_code_links":0,"syntology":null},{"paper":"/paper/multi-modal-proxy-learning-towards","slug":"multi-modal-proxy-learning-towards","title":"Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering","date":"2024-04-24","arxiv_id":"2404.15655","n_code_links":1,"syntology":{"ran":4,"of":7,"n_ran_checked":1,"n_instrument":3,"unverified":3,"pointer_only":7,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","official":{"repos":["alexander-yao/multi-map"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"neural-proto-language-reconstruction","title":"Neural Proto-Language Reconstruction","date":"2024-04-24","arxiv_id":"2404.15690","n_code_links":0,"syntology":null},{"paper":"/paper/raformer-redundancy-aware-transformer-for","slug":"raformer-redundancy-aware-transformer-for","title":"Raformer: Redundancy-Aware Transformer for Video Wire Inpainting","date":"2024-04-24","arxiv_id":"2404.15802","n_code_links":1,"syntology":null},{"paper":"/paper/rethinking-model-prototyping-through-the","slug":"rethinking-model-prototyping-through-the","title":"Rethinking model prototyping through the MedMNIST+ dataset collection","date":"2024-04-24","arxiv_id":"2404.15786","n_code_links":1,"syntology":null},{"paper":null,"slug":"sequence-can-secretly-tell-you-what-to","title":"CORM: Cache Optimization with Recent Message for Large Language Model Inference","date":"2024-04-24","arxiv_id":"2404.15949","n_code_links":0,"syntology":null},{"paper":"/paper/sparo-selective-attention-for-robust-and","slug":"sparo-selective-attention-for-robust-and","title":"SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision","date":"2024-04-24","arxiv_id":"2404.15721","n_code_links":1,"syntology":null},{"paper":"/paper/studying-large-language-model-behaviors-under","slug":"studying-large-language-model-behaviors-under","title":"Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents","date":"2024-04-24","arxiv_id":"2404.16032","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":7,"n_instrument":0,"unverified":1,"pointer_only":8,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["kortukov/realistic_knowledge_conflicts"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/telco-rag-navigating-the-challenges-of","slug":"telco-rag-navigating-the-challenges-of","title":"Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications","date":"2024-04-24","arxiv_id":"2404.15939","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-promise-and-challenges-of-using-llms-to","title":"The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews","date":"2024-04-24","arxiv_id":"2404.15667","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-a-holistic-evaluation-of-llms-on","title":"Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall","date":"2024-04-24","arxiv_id":"2404.16164","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-efficient-patient-recruitment-for","title":"Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Model","date":"2024-04-24","arxiv_id":"2404.16198","n_code_links":0,"syntology":null},{"paper":"/paper/vision-transformer-based-adversarial-domain","slug":"vision-transformer-based-adversarial-domain","title":"Vision Transformer-based Adversarial Domain Adaptation","date":"2024-04-24","arxiv_id":"2404.15817","n_code_links":1,"syntology":null},{"paper":null,"slug":"ai-and-machine-learning-for-next-generation","title":"AI and Machine Learning for Next Generation Science Assessments","date":"2024-04-23","arxiv_id":"2405.06660","n_code_links":0,"syntology":null},{"paper":"/paper/aligning-llm-agents-by-learning-latent","slug":"aligning-llm-agents-by-learning-latent","title":"Aligning LLM Agents by Learning Latent Preference from User Edits","date":"2024-04-23","arxiv_id":"2404.15269","n_code_links":1,"syntology":null},{"paper":null,"slug":"automated-multi-language-to-english-machine","title":"Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers","date":"2024-04-23","arxiv_id":"2404.14680","n_code_links":0,"syntology":null},{"paper":null,"slug":"cfpformer-feature-pyramid-like-transformer","title":"CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection","date":"2024-04-23","arxiv_id":"2404.15451","n_code_links":0,"syntology":null},{"paper":null,"slug":"ct-agent-clinical-trial-multi-agent-with","title":"ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning","date":"2024-04-23","arxiv_id":"2404.14777","n_code_links":0,"syntology":null},{"paper":null,"slug":"designprobe-a-graphic-design-benchmark-for","title":"DesignProbe: A Graphic Design Benchmark for Multimodal Large Language Models","date":"2024-04-23","arxiv_id":"2404.14801","n_code_links":0,"syntology":null},{"paper":"/paper/integrating-mamba-and-transformer-for-long","slug":"integrating-mamba-and-transformer-for-long","title":"SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting","date":"2024-04-23","arxiv_id":"2404.14757","n_code_links":2,"syntology":{"ran":2,"of":3,"n_ran_checked":2,"n_instrument":0,"unverified":1,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["xiongxiaoxu/sst","XiongxiaoXu/Mambaformer-in-Time-Series"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"iryonlp-at-mediqa-corr-2024-tackling-the","title":"IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents","date":"2024-04-23","arxiv_id":"2404.15488","n_code_links":0,"syntology":null},{"paper":null,"slug":"large-language-models-spot-phishing-emails","title":"Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts","date":"2024-04-23","arxiv_id":"2404.15485","n_code_links":0,"syntology":null},{"paper":"/paper/leveraging-speech-for-gesture-detection-in","slug":"leveraging-speech-for-gesture-detection-in","title":"Leveraging Speech for Gesture Detection in Multimodal Communication","date":"2024-04-23","arxiv_id":"2404.14952","n_code_links":1,"syntology":null},{"paper":"/paper/mamba3d-enhancing-local-features-for-3d-point","slug":"mamba3d-enhancing-local-features-for-3d-point","title":"Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model","date":"2024-04-23","arxiv_id":"2404.14966","n_code_links":1,"syntology":{"ran":7,"of":7,"n_ran_checked":6,"n_instrument":1,"unverified":0,"pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["xhanxu/Mamba3D"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"orbit-oak-ridge-base-foundation-model-for","title":"ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability","date":"2024-04-23","arxiv_id":"2404.14712","n_code_links":0,"syntology":null},{"paper":null,"slug":"other-tokens-matter-exploring-global-and","title":"Other Tokens Matter: Exploring Global and Local Features of Vision Transformers for Object Re-Identification","date":"2024-04-23","arxiv_id":"2404.14985","n_code_links":0,"syntology":null},{"paper":null,"slug":"prism-patient-records-interpretation-for","title":"PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models","date":"2024-04-23","arxiv_id":"2404.15549","n_code_links":0,"syntology":null},{"paper":"/paper/pyramid-hierarchical-transformer-for","slug":"pyramid-hierarchical-transformer-for","title":"Pyramid Hierarchical Transformer for Hyperspectral Image Classification","date":"2024-04-23","arxiv_id":"2404.14945","n_code_links":3,"syntology":null},{"paper":null,"slug":"sc-hvppnet-spatial-and-channel-hybrid","title":"SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer","date":"2024-04-23","arxiv_id":"2404.14709","n_code_links":0,"syntology":null},{"paper":null,"slug":"science-written-by-generative-ai-is-perceived","title":"From Complexity to Clarity: How AI Enhances Perceptions of Scientists and the Public's Understanding of Science","date":"2024-04-23","arxiv_id":"2405.00706","n_code_links":0,"syntology":null},{"paper":"/paper/smpler-taming-transformers-for-monocular-3d","slug":"smpler-taming-transformers-for-monocular-3d","title":"SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation","date":"2024-04-23","arxiv_id":"2404.15276","n_code_links":1,"syntology":null},{"paper":null,"slug":"talk-too-much-poisoning-large-language-models","title":"Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models","date":"2024-04-23","arxiv_id":"2404.14795","n_code_links":0,"syntology":null},{"paper":"/paper/the-power-of-the-noisy-channel-unsupervised","slug":"the-power-of-the-noisy-channel-unsupervised","title":"Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel","date":"2024-04-23","arxiv_id":"2404.15219","n_code_links":1,"syntology":null},{"paper":null,"slug":"thermopore-predicting-part-porosity-based-on","title":"ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning","date":"2024-04-23","arxiv_id":"2404.16882","n_code_links":0,"syntology":null},{"paper":"/paper/towards-systematic-evaluation-of-logical","slug":"towards-systematic-evaluation-of-logical","title":"LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models","date":"2024-04-23","arxiv_id":"2404.15522","n_code_links":1,"syntology":null},{"paper":"/paper/traditional-to-transformers-a-survey-on","slug":"traditional-to-transformers-a-survey-on","title":"A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models","date":"2024-04-23","arxiv_id":"2404.14955","n_code_links":1,"syntology":null},{"paper":null,"slug":"1st-place-solution-to-the-1st-skatingverse","title":"1st Place Solution to the 1st SkatingVerse Challenge","date":"2024-04-22","arxiv_id":"2404.14032","n_code_links":0,"syntology":null},{"paper":"/paper/a-multimodal-feature-distillation-with-cnn","slug":"a-multimodal-feature-distillation-with-cnn","title":"A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities","date":"2024-04-22","arxiv_id":"2404.14019","n_code_links":1,"syntology":null},{"paper":"/paper/automated-long-answer-grading-with-ricechem","slug":"automated-long-answer-grading-with-ricechem","title":"Automated Long Answer Grading with RiceChem Dataset","date":"2024-04-22","arxiv_id":"2404.14316","n_code_links":1,"syntology":null},{"paper":"/paper/calc-cmu-at-semeval-2024-task-7-pre-calc","slug":"calc-cmu-at-semeval-2024-task-7-pre-calc","title":"Pre-Calc: Learning to Use the Calculator Improves Numeracy in Language Models","date":"2024-04-22","arxiv_id":"2404.14355","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":0,"n_instrument":3,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["calc-cmu/pre-calc"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"cross-task-multi-branch-vision-transformer","title":"Cross-Task Multi-Branch Vision Transformer for Facial Expression and Mask Wearing Classification","date":"2024-04-22","arxiv_id":"2404.14606","n_code_links":0,"syntology":null},{"paper":null,"slug":"generating-attractive-and-authentic","title":"Generating Attractive and Authentic Copywriting from Customer Reviews","date":"2024-04-22","arxiv_id":"2404.13906","n_code_links":0,"syntology":null},{"paper":"/paper/how-well-can-llms-echo-us-evaluating-ai","slug":"how-well-can-llms-echo-us-evaluating-ai","title":"How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO","date":"2024-04-22","arxiv_id":"2404.13957","n_code_links":1,"syntology":{"ran":6,"of":6,"n_ran_checked":0,"n_instrument":6,"unverified":0,"pointer_only":6,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 6 where Syntology's instrument failed) · 0 unverified","official":{"repos":["cuhk-arise/echo"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"information-re-organization-improves","title":"Information Re-Organization Improves Reasoning in Large Language Models","date":"2024-04-22","arxiv_id":"2404.13985","n_code_links":0,"syntology":null},{"paper":"/paper/llms-know-what-they-need-leveraging-a-missing","slug":"llms-know-what-they-need-leveraging-a-missing","title":"LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation","date":"2024-04-22","arxiv_id":"2404.14043","n_code_links":1,"syntology":null},{"paper":null,"slug":"mambauie-sr-unraveling-the-ocean-s-secrets","title":"MambaUIE&SR: Unraveling the Ocean's Secrets with Only 2.8 GFLOPs","date":"2024-04-22","arxiv_id":"2404.13884","n_code_links":0,"syntology":null},{"paper":null,"slug":"marking-visual-grading-with-highlighting","title":"Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits","date":"2024-04-22","arxiv_id":"2404.14301","n_code_links":0,"syntology":null},{"paper":"/paper/mixlora-enhancing-large-language-models-fine","slug":"mixlora-enhancing-large-language-models-fine","title":"MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts","date":"2024-04-22","arxiv_id":"2404.15159","n_code_links":2,"syntology":{"ran":6,"of":11,"n_ran_checked":6,"n_instrument":0,"unverified":5,"pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["TUDB-Labs/MixLoRA","mikecovlee/mLoRA"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"navigating-the-path-of-writing-outline-guided","title":"Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models","date":"2024-04-22","arxiv_id":"2404.13919","n_code_links":0,"syntology":null},{"paper":null,"slug":"nerf-dets-enhancing-multi-view-3d-object","title":"NeRF-DetS: Enhanced Adaptive Spatial-wise Sampling and View-wise Fusion Strategies for NeRF-based Indoor Multi-view 3D Object Detection","date":"2024-04-22","arxiv_id":"2404.13921","n_code_links":0,"syntology":null},{"paper":"/paper/phi-3-technical-report-a-highly-capable","slug":"phi-3-technical-report-a-highly-capable","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","date":"2024-04-22","arxiv_id":"2404.14219","n_code_links":0,"syntology":null},{"paper":"/paper/spacebyte-towards-deleting-tokenization-from","slug":"spacebyte-towards-deleting-tokenization-from","title":"SpaceByte: Towards Deleting Tokenization from Large Language Modeling","date":"2024-04-22","arxiv_id":"2404.14408","n_code_links":1,"syntology":null},{"paper":"/paper/surgical-desam-decoupling-sam-for-instrument","slug":"surgical-desam-decoupling-sam-for-instrument","title":"Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic Surgery","date":"2024-04-22","arxiv_id":"2404.14040","n_code_links":1,"syntology":null},{"paper":null,"slug":"texture-aware-and-shape-guided-transformer","title":"Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection","date":"2024-04-22","arxiv_id":"2404.13873","n_code_links":0,"syntology":null},{"paper":"/paper/typos-that-broke-the-rag-s-back-genetic","slug":"typos-that-broke-the-rag-s-back-genetic","title":"Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations","date":"2024-04-22","arxiv_id":"2404.13948","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":6,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["zomss/garag"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/what-do-transformers-know-about-government","slug":"what-do-transformers-know-about-government","title":"What do Transformers Know about Government?","date":"2024-04-22","arxiv_id":"2404.14270","n_code_links":1,"syntology":null},{"paper":"/paper/zero-shot-cross-lingual-stance-detection-via","slug":"zero-shot-cross-lingual-stance-detection-via","title":"Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation","date":"2024-04-22","arxiv_id":"2404.14339","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-nasal-cytology-dataset-for-object-detection","title":"A Nasal Cytology Dataset for Object Detection and Deep Learning","date":"2024-04-21","arxiv_id":"2404.13745","n_code_links":0,"syntology":null},{"paper":null,"slug":"automated-text-mining-of-experimental","title":"Automated Text Mining of Experimental Methodologies from Biomedical Literature","date":"2024-04-21","arxiv_id":"2404.13779","n_code_links":0,"syntology":null},{"paper":"/paper/evaluating-retrieval-quality-in-retrieval","slug":"evaluating-retrieval-quality-in-retrieval","title":"Evaluating Retrieval Quality in Retrieval-Augmented Generation","date":"2024-04-21","arxiv_id":"2404.13781","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["alirezasalemi7/erag"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/filo-zero-shot-anomaly-detection-by-fine","slug":"filo-zero-shot-anomaly-detection-by-fine","title":"FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization","date":"2024-04-21","arxiv_id":"2404.13671","n_code_links":1,"syntology":{"ran":7,"of":12,"n_ran_checked":5,"n_instrument":2,"unverified":5,"pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified","official":{"repos":["casia-iva-lab/filo"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/llms-in-web-development-evaluating-llm","slug":"llms-in-web-development-evaluating-llm","title":"LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and Limitations","date":"2024-04-21","arxiv_id":"2404.14459","n_code_links":1,"syntology":null},{"paper":"/paper/lmfnet-an-efficient-multimodal-fusion","slug":"lmfnet-an-efficient-multimodal-fusion","title":"LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing","date":"2024-04-21","arxiv_id":"2404.13659","n_code_links":0,"syntology":null},{"paper":"/paper/masked-latent-transformer-with-the-random","slug":"masked-latent-transformer-with-the-random","title":"Masked Latent Transformer with the Random Masking Ratio to Advance the Diagnosis of Dental Fluorosis","date":"2024-04-21","arxiv_id":"2404.13564","n_code_links":1,"syntology":null},{"paper":null,"slug":"smartmem-layout-transformation-elimination","title":"SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile","date":"2024-04-21","arxiv_id":"2404.13528","n_code_links":0,"syntology":null},{"paper":"/paper/svgeditbench-a-benchmark-dataset-for","slug":"svgeditbench-a-benchmark-dataset-for","title":"SVGEditBench: A Benchmark Dataset for Quantitative Assessment of LLM's SVG Editing Capabilities","date":"2024-04-21","arxiv_id":"2404.13710","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mti-lab/svgeditbench"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/3d-convolution-guided-spectral-spatial","slug":"3d-convolution-guided-spectral-spatial","title":"3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification","date":"2024-04-20","arxiv_id":"2404.13252","n_code_links":1,"syntology":null},{"paper":null,"slug":"bert-accelerating-vital-signs-measurement-for","title":"BERT: Accelerating Vital Signs Measurement for Bioradar with An Efficient Recursive Technique","date":"2024-04-20","arxiv_id":"2404.13315","n_code_links":0,"syntology":null},{"paper":"/paper/beyond-accuracy-investigating-error-types-in","slug":"beyond-accuracy-investigating-error-types-in","title":"Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions","date":"2024-04-20","arxiv_id":"2404.13307","n_code_links":1,"syntology":null},{"paper":null,"slug":"comparative-analysis-on-snowmelt-driven","title":"Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques","date":"2024-04-20","arxiv_id":"2404.13327","n_code_links":0,"syntology":null},{"paper":"/paper/do-english-named-entity-recognizers-work-well","slug":"do-english-named-entity-recognizers-work-well","title":"Do \"English\" Named Entity Recognizers Work Well on Global Englishes?","date":"2024-04-20","arxiv_id":"2404.13465","n_code_links":2,"syntology":null},{"paper":"/paper/evaluating-subword-tokenization-alien-subword","slug":"evaluating-subword-tokenization-alien-subword","title":"Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge","date":"2024-04-20","arxiv_id":"2404.13292","n_code_links":1,"syntology":null},{"paper":"/paper/f5c-finder-an-explainable-and-ensemble","slug":"f5c-finder-an-explainable-and-ensemble","title":"F5C-finder: An Explainable and Ensemble Biological Language Model for Predicting 5-Formylcytidine Modifications on mRNA","date":"2024-04-20","arxiv_id":"2404.13265","n_code_links":1,"syntology":null},{"paper":"/paper/large-language-models-as-test-case-generators","slug":"large-language-models-as-test-case-generators","title":"Large Language Models as Test Case Generators: Performance Evaluation and Enhancement","date":"2024-04-20","arxiv_id":"2404.13340","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":null,"slug":"nested-tnt-hierarchical-vision-transformers","title":"Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing","date":"2024-04-20","arxiv_id":"2404.13434","n_code_links":0,"syntology":null},{"paper":"/paper/retrieval-augmented-generation-based-relation","slug":"retrieval-augmented-generation-based-relation","title":"Retrieval-Augmented Generation-based Relation Extraction","date":"2024-04-20","arxiv_id":"2404.13397","n_code_links":1,"syntology":null},{"paper":null,"slug":"stridenet-swin-transformer-for-terrain","title":"StrideNET: Swin Transformer for Terrain Recognition with Dynamic Roughness Extraction","date":"2024-04-20","arxiv_id":"2404.13270","n_code_links":0,"syntology":null},{"paper":"/paper/vim4path-self-supervised-vision-mamba-for","slug":"vim4path-self-supervised-vision-mamba-for","title":"Vim4Path: Self-Supervised Vision Mamba for Histopathology Images","date":"2024-04-20","arxiv_id":"2404.13222","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["atlasanalyticslab/vim4path"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/cross-cultural-inspiration-detection-and","slug":"cross-cultural-inspiration-detection-and","title":"Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data","date":"2024-04-19","arxiv_id":"2404.12933","n_code_links":1,"syntology":null},{"paper":"/paper/cyberseceval-2-a-wide-ranging-cybersecurity","slug":"cyberseceval-2-a-wide-ranging-cybersecurity","title":"CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models","date":"2024-04-19","arxiv_id":"2404.13161","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["facebookresearch/purplellama"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}}],"record_sha256":"352c544633b71b91122bc81ac5627f260bad30fcc6eacc49a2ea1a6db0a075b4","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}