{"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/absolute-position-encodings/papers/45","list_of":"/method/absolute-position-encodings","method":"Absolute Position Encodings","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":45,"pages_in_order":140,"rows_per_page":100,"rows":[4401,4500],"of":13942,"counts":{"archive_papers_tagged":13942,"with_a_code_link":6505,"where_syntology_ran_a_sample":2224,"not_listed_spam_title":0,"listed":13942,"listed_where_code_ran":2224,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1897,"every_run_a_failure_of_syntologys_instrument":327,"listed_with_a_run_with_no_instrument_failure":1897,"listed_every_run_a_failure_of_syntologys_instrument":327,"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/absolute-position-encodings","prev":"/method/absolute-position-encodings/papers/44","next":"/method/absolute-position-encodings/papers/46","papers":[{"paper":null,"slug":"aspect-and-opinion-term-extraction-using","title":"Aspect and Opinion Term Extraction Using Graph Attention Network","date":"2024-04-30","arxiv_id":"2404.19260","n_code_links":0,"syntology":null},{"paper":null,"slug":"automatic-cardiac-pathology-recognition-in","title":"Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets","date":"2024-04-30","arxiv_id":"2404.19579","n_code_links":0,"syntology":null},{"paper":"/paper/clip-mamba-clip-pretrained-mamba-models-with","slug":"clip-mamba-clip-pretrained-mamba-models-with","title":"CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation","date":"2024-04-30","arxiv_id":"2404.19394","n_code_links":1,"syntology":null},{"paper":"/paper/constrained-decoding-for-secure-code","slug":"constrained-decoding-for-secure-code","title":"Constrained Decoding for Secure Code Generation","date":"2024-04-30","arxiv_id":"2405.00218","n_code_links":2,"syntology":{"ran":9,"of":13,"n_ran_checked":9,"n_instrument":0,"unverified":4,"pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["dynamite321/codeguardplus"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/do-large-language-models-understand","slug":"do-large-language-models-understand","title":"Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom","date":"2024-04-30","arxiv_id":"2404.19509","n_code_links":1,"syntology":{"ran":2,"of":6,"n_ran_checked":2,"n_instrument":0,"unverified":4,"pointer_only":6,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["sjtu-compling/llm-pragmatics"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/extending-llama-3-s-context-ten-fold","slug":"extending-llama-3-s-context-ten-fold","title":"Extending Llama-3's Context Ten-Fold Overnight","date":"2024-04-30","arxiv_id":"2404.19553","n_code_links":1,"syntology":null},{"paper":null,"slug":"harmonic-llms-are-trustworthy","title":"Harmonic LLMs are Trustworthy","date":"2024-04-30","arxiv_id":"2404.19708","n_code_links":0,"syntology":null},{"paper":null,"slug":"neuro-vision-to-language-image-reconstruction","title":"Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction","date":"2024-04-30","arxiv_id":"2404.19438","n_code_links":0,"syntology":null},{"paper":null,"slug":"octopus-v4-graph-of-language-models","title":"Octopus v4: Graph of language models","date":"2024-04-30","arxiv_id":"2404.19296","n_code_links":0,"syntology":null},{"paper":"/paper/repeval-effective-text-evaluation-with-llm","slug":"repeval-effective-text-evaluation-with-llm","title":"RepEval: Effective Text Evaluation with LLM Representation","date":"2024-04-30","arxiv_id":"2404.19563","n_code_links":1,"syntology":{"ran":18,"of":27,"n_ran_checked":15,"n_instrument":3,"unverified":9,"pointer_only":6,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 2 honoured, 0 violated, 13 with no contract checked; 3 where Syntology's instrument failed) · 9 unverified","official":{"repos":["susisheng/repeval"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["found_in_text"]}}},{"paper":"/paper/seeing-through-the-clouds-cloud-gap","slug":"seeing-through-the-clouds-cloud-gap","title":"Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model","date":"2024-04-30","arxiv_id":"2404.19609","n_code_links":1,"syntology":null},{"paper":null,"slug":"spafit-stratified-progressive-adaptation-fine","title":"SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models","date":"2024-04-30","arxiv_id":"2405.00201","n_code_links":0,"syntology":null},{"paper":null,"slug":"transformer-enhanced-motion-planner-attention","title":"Transformer-Enhanced Motion Planner: Attention-Guided Sampling for State-Specific Decision Making","date":"2024-04-30","arxiv_id":"2404.19403","n_code_links":0,"syntology":null},{"paper":null,"slug":"automated-construction-of-theme-specific","title":"Automated Construction of Theme-specific Knowledge Graphs","date":"2024-04-29","arxiv_id":"2404.19146","n_code_links":0,"syntology":null},{"paper":null,"slug":"can-gpt-4-do-l2-analytic-assessment","title":"Can GPT-4 do L2 analytic assessment?","date":"2024-04-29","arxiv_id":"2404.18557","n_code_links":0,"syntology":null},{"paper":"/paper/capabilities-of-gemini-models-in-medicine","slug":"capabilities-of-gemini-models-in-medicine","title":"Capabilities of Gemini Models in Medicine","date":"2024-04-29","arxiv_id":"2404.18416","n_code_links":0,"syntology":null},{"paper":null,"slug":"cvtn-cross-variable-and-temporal-integration","title":"CVTN: Cross Variable and Temporal Integration for Time Series Forecasting","date":"2024-04-29","arxiv_id":"2404.18730","n_code_links":0,"syntology":null},{"paper":"/paper/do-neutral-prompts-produce-insecure-code","slug":"do-neutral-prompts-produce-insecure-code","title":"How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models","date":"2024-04-29","arxiv_id":"2404.18353","n_code_links":1,"syntology":null},{"paper":"/paper/dragposer-motion-reconstruction-from-variable","slug":"dragposer-motion-reconstruction-from-variable","title":"DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization","date":"2024-04-29","arxiv_id":"2406.14567","n_code_links":1,"syntology":null},{"paper":null,"slug":"ethical-reasoning-and-moral-value-alignment","title":"Ethical Reasoning and Moral Value Alignment of LLMs Depend on the Language we Prompt them in","date":"2024-04-29","arxiv_id":"2404.18460","n_code_links":0,"syntology":null},{"paper":null,"slug":"gpt-4-passes-most-of-the-297-written-polish","title":"GPT-4 passes most of the 297 written Polish Board Certification Examinations","date":"2024-04-29","arxiv_id":"2405.01589","n_code_links":0,"syntology":null},{"paper":null,"slug":"harmonic-machine-learning-models-are-robust","title":"Harmonic Machine Learning Models are Robust","date":"2024-04-29","arxiv_id":"2404.18825","n_code_links":0,"syntology":null},{"paper":"/paper/lora-land-310-fine-tuned-llms-that-rival-gpt","slug":"lora-land-310-fine-tuned-llms-that-rival-gpt","title":"LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report","date":"2024-04-29","arxiv_id":"2405.00732","n_code_links":1,"syntology":{"ran":11,"of":12,"n_ran_checked":11,"n_instrument":0,"unverified":1,"pointer_only":12,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["predibase/lora_bakeoff"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"revolutionizing-traffic-sign-recognition","title":"Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers","date":"2024-04-29","arxiv_id":"2404.19066","n_code_links":0,"syntology":null},{"paper":"/paper/rscama-remote-sensing-image-change-captioning","slug":"rscama-remote-sensing-image-change-captioning","title":"RSCaMa: Remote Sensing Image Change Captioning with State Space Model","date":"2024-04-29","arxiv_id":"2404.18895","n_code_links":1,"syntology":{"ran":11,"of":11,"n_ran_checked":6,"n_instrument":5,"unverified":0,"pointer_only":11,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified","official":{"repos":["chen-yang-liu/rscama"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/spectral-spatial-mamba-for-hyperspectral","slug":"spectral-spatial-mamba-for-hyperspectral","title":"Spectral-Spatial Mamba for Hyperspectral Image Classification","date":"2024-04-29","arxiv_id":"2404.18401","n_code_links":1,"syntology":null},{"paper":"/paper/swin2-mose-a-new-single-image-super","slug":"swin2-mose-a-new-single-image-super","title":"Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing","date":"2024-04-29","arxiv_id":"2404.18924","n_code_links":2,"syntology":null},{"paper":"/paper/composerx-multi-agent-symbolic-music","slug":"composerx-multi-agent-symbolic-music","title":"ComposerX: Multi-Agent Symbolic Music Composition with LLMs","date":"2024-04-28","arxiv_id":"2404.18081","n_code_links":1,"syntology":{"ran":2,"of":5,"n_ran_checked":2,"n_instrument":0,"unverified":3,"pointer_only":5,"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) · 3 unverified","official":{"repos":["lllindsey0615/composerx"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/exploring-the-robustness-of-in-context","slug":"exploring-the-robustness-of-in-context","title":"Exploring the Robustness of In-Context Learning with Noisy Labels","date":"2024-04-28","arxiv_id":"2404.18191","n_code_links":1,"syntology":{"ran":13,"of":13,"n_ran_checked":11,"n_instrument":2,"unverified":0,"pointer_only":1,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["inezyu0928/in-context-learning"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/mamba-fetrack-frame-event-tracking-via-state","slug":"mamba-fetrack-frame-event-tracking-via-state","title":"Mamba-FETrack: Frame-Event Tracking via State Space Model","date":"2024-04-28","arxiv_id":"2404.18174","n_code_links":2,"syntology":{"ran":11,"of":11,"n_ran_checked":11,"n_instrument":0,"unverified":0,"pointer_only":11,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["event-ahu/mamba_fetrack","event-ahu/mamba_state_space_model_paper_list"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"patentgpt-a-large-language-model-for","title":"PatentGPT: A Large Language Model for Intellectual Property","date":"2024-04-28","arxiv_id":"2404.18255","n_code_links":0,"syntology":null},{"paper":"/paper/rethinking-attention-gated-with-hybrid-dual","slug":"rethinking-attention-gated-with-hybrid-dual","title":"Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging","date":"2024-04-28","arxiv_id":"2404.18199","n_code_links":1,"syntology":null},{"paper":null,"slug":"textgram-towards-a-better-domain-adaptive","title":"TextGram: Towards a better domain-adaptive pretraining","date":"2024-04-28","arxiv_id":"2404.18228","n_code_links":0,"syntology":null},{"paper":null,"slug":"advancing-healthcare-automation-multi-agent","title":"Advancing Healthcare Automation: Multi-Agent System for Medical Necessity Justification","date":"2024-04-27","arxiv_id":"2404.17977","n_code_links":0,"syntology":null},{"paper":null,"slug":"automating-customer-needs-analysis-a","title":"Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry","date":"2024-04-27","arxiv_id":"2404.17975","n_code_links":0,"syntology":null},{"paper":null,"slug":"detection-of-conspiracy-theories-beyond","title":"Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models","date":"2024-04-27","arxiv_id":"2404.17985","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-pre-trained-generative-language","title":"Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension","date":"2024-04-27","arxiv_id":"2404.17991","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluation-of-few-shot-learning-for","title":"Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language","date":"2024-04-27","arxiv_id":"2404.17832","n_code_links":0,"syntology":null},{"paper":"/paper/large-multi-modality-model-assisted-ai","slug":"large-multi-modality-model-assisted-ai","title":"Large Multi-modality Model Assisted AI-Generated Image Quality Assessment","date":"2024-04-27","arxiv_id":"2404.17762","n_code_links":1,"syntology":null},{"paper":"/paper/pre-training-on-high-definition-x-ray-images","slug":"pre-training-on-high-definition-x-ray-images","title":"Pre-training on High Definition X-ray Images: An Experimental Study","date":"2024-04-27","arxiv_id":"2404.17926","n_code_links":1,"syntology":null},{"paper":"/paper/revisiting-multi-modal-emotion-learning-with","slug":"revisiting-multi-modal-emotion-learning-with","title":"Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion","date":"2024-04-27","arxiv_id":"2404.17858","n_code_links":0,"syntology":null},{"paper":"/paper/spatio-temporal-side-tuning-pre-trained","slug":"spatio-temporal-side-tuning-pre-trained","title":"Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition","date":"2024-04-27","arxiv_id":"2404.17929","n_code_links":3,"syntology":null},{"paper":"/paper/sub-adjacent-transformer-improving-time","slug":"sub-adjacent-transformer-improving-time","title":"Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods","date":"2024-04-27","arxiv_id":"2404.18948","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["jackyue1994/sub_adjacent_transformer"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":null,"slug":"using-llms-in-software-requirements","title":"Using LLMs in Software Requirements Specifications: An Empirical Evaluation","date":"2024-04-27","arxiv_id":"2404.17842","n_code_links":0,"syntology":null},{"paper":"/paper/binarizing-documents-by-leveraging-both-space","slug":"binarizing-documents-by-leveraging-both-space","title":"Binarizing Documents by Leveraging both Space and Frequency","date":"2024-04-26","arxiv_id":"2404.17243","n_code_links":1,"syntology":null},{"paper":null,"slug":"child-speech-recognition-in-human-robot","title":"Child Speech Recognition in Human-Robot Interaction: Problem Solved?","date":"2024-04-26","arxiv_id":"2404.17394","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-for-melt-pool-depth-contour","title":"Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers","date":"2024-04-26","arxiv_id":"2404.17699","n_code_links":0,"syntology":null},{"paper":"/paper/fairgt-a-fairness-aware-graph-transformer","slug":"fairgt-a-fairness-aware-graph-transformer","title":"FairGT: A Fairness-aware Graph Transformer","date":"2024-04-26","arxiv_id":"2404.17169","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":4,"n_instrument":0,"unverified":1,"pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["yushuowiki/fairgt"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/mcsdnet-mesoscale-convective-system-detection","slug":"mcsdnet-mesoscale-convective-system-detection","title":"MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information","date":"2024-04-26","arxiv_id":"2404.17186","n_code_links":1,"syntology":null},{"paper":null,"slug":"s-iqa-image-quality-assessment-with","title":"Image Quality Assessment With Compressed Sampling","date":"2024-04-26","arxiv_id":"2404.17170","n_code_links":0,"syntology":null},{"paper":null,"slug":"two-in-one-go-single-stage-emotion","title":"Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer","date":"2024-04-26","arxiv_id":"2404.17205","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-short-survey-of-human-mobility-prediction","title":"A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs","date":"2024-04-25","arxiv_id":"2404.16921","n_code_links":0,"syntology":null},{"paper":"/paper/adapting-open-source-large-language-models","slug":"adapting-open-source-large-language-models","title":"Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation","date":"2024-04-25","arxiv_id":"2405.00715","n_code_links":1,"syntology":null},{"paper":"/paper/ai-coders-are-among-us-rethinking-programming","slug":"ai-coders-are-among-us-rethinking-programming","title":"AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation","date":"2024-04-25","arxiv_id":"2404.16333","n_code_links":1,"syntology":null},{"paper":"/paper/detection-of-peri-pancreatic-edema-using-deep","slug":"detection-of-peri-pancreatic-edema-using-deep","title":"Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques","date":"2024-04-25","arxiv_id":"2404.17064","n_code_links":1,"syntology":null},{"paper":"/paper/dig3d-marrying-gaussian-splatting-with","slug":"dig3d-marrying-gaussian-splatting-with","title":"LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians","date":"2024-04-25","arxiv_id":"2404.16323","n_code_links":1,"syntology":null},{"paper":"/paper/eeg-deformer-a-dense-convolutional","slug":"eeg-deformer-a-dense-convolutional","title":"EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces","date":"2024-04-25","arxiv_id":"2405.00719","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["yi-ding-cs/eeg-deformer"],"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":null,"slug":"from-cognition-to-computation-a-comparative","title":"From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures","date":"2024-04-25","arxiv_id":"2407.01548","n_code_links":0,"syntology":null},{"paper":"/paper/generating-minimalist-adversarial","slug":"generating-minimalist-adversarial","title":"Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach","date":"2024-04-25","arxiv_id":"2404.17020","n_code_links":1,"syntology":null},{"paper":"/paper/global-concept-explanations-for-graphs-by","slug":"global-concept-explanations-for-graphs-by","title":"Global Concept Explanations for Graphs by Contrastive Learning","date":"2024-04-25","arxiv_id":"2404.16532","n_code_links":2,"syntology":null},{"paper":"/paper/in-context-freeze-thaw-bayesian-optimization","slug":"in-context-freeze-thaw-bayesian-optimization","title":"In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization","date":"2024-04-25","arxiv_id":"2404.16795","n_code_links":2,"syntology":{"ran":3,"of":11,"n_ran_checked":2,"n_instrument":1,"unverified":8,"pointer_only":0,"phrase":"3 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 8 unverified","official":{"repos":["huggingface.co/spaces/herilalaina/ifbo"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["named_in_paper"]}}},{"paper":"/paper/indicgenbench-a-multilingual-benchmark-to","slug":"indicgenbench-a-multilingual-benchmark-to","title":"IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages","date":"2024-04-25","arxiv_id":"2404.16816","n_code_links":1,"syntology":null},{"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":"/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":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":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":"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":"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":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":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/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":"/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":"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":"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}],"record_sha256":"48a50d12a8b4628425bec84b86a819d39e8f20d77b3f68220dd106c5a717504d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}