{"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/position-wise-feed-forward-layer/papers/35","list_of":"/method/position-wise-feed-forward-layer","method":"Position-Wise Feed-Forward Layer","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":35,"pages_in_order":139,"rows_per_page":100,"rows":[3401,3500],"of":13895,"counts":{"archive_papers_tagged":13895,"with_a_code_link":6514,"where_syntology_ran_a_sample":2229,"not_listed_spam_title":0,"listed":13895,"listed_where_code_ran":2229,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1902,"every_run_a_failure_of_syntologys_instrument":327,"listed_with_a_run_with_no_instrument_failure":1902,"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/position-wise-feed-forward-layer","prev":"/method/position-wise-feed-forward-layer/papers/34","next":"/method/position-wise-feed-forward-layer/papers/36","papers":[{"paper":null,"slug":"large-language-model-enhanced-knowledge","title":"Large Language Model Enhanced Knowledge Representation Learning: A Survey","date":"2024-07-01","arxiv_id":"2407.00936","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-branch-cnn-and-grouping-cascade","title":"Multi-branch CNN and grouping cascade attention for medical image classification","date":"2024-07-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-state-action-tokenisation-in-decision","title":"Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces","date":"2024-07-01","arxiv_id":"2407.01310","n_code_links":0,"syntology":null},{"paper":"/paper/papez-resource-efficient-speech-separation","slug":"papez-resource-efficient-speech-separation","title":"Papez: Resource-Efficient Speech Separation with Auditory Working Memory","date":"2024-07-01","arxiv_id":"2407.00888","n_code_links":1,"syntology":null},{"paper":null,"slug":"pictures-of-midi-controlled-music-generation","title":"Pictures Of MIDI: Controlled Music Generation via Graphical Prompts for Image-Based Diffusion Inpainting","date":"2024-07-01","arxiv_id":"2407.01499","n_code_links":0,"syntology":null},{"paper":null,"slug":"pron-vs-prompt-can-large-language-models","title":"Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?","date":"2024-07-01","arxiv_id":"2407.01119","n_code_links":0,"syntology":null},{"paper":null,"slug":"roleplay-doh-enabling-domain-experts-to","title":"Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles","date":"2024-07-01","arxiv_id":"2407.00870","n_code_links":0,"syntology":null},{"paper":null,"slug":"the-solution-for-temporal-sound-localisation","title":"The Solution for Temporal Sound Localisation Task of ICCV 1st Perception Test Challenge 2023","date":"2024-07-01","arxiv_id":"2407.02318","n_code_links":0,"syntology":null},{"paper":"/paper/uni-dvps-unified-model-for-depth-aware-video","slug":"uni-dvps-unified-model-for-depth-aware-video","title":"Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation","date":"2024-07-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"universal-approximation-theory-the-basic","title":"Dynamic Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Models","date":"2024-07-01","arxiv_id":"2407.00958","n_code_links":0,"syntology":null},{"paper":null,"slug":"evaluation-of-bias-towards-medical","title":"Evaluation of Bias Towards Medical Professionals in Large Language Models","date":"2024-06-30","arxiv_id":"2407.12031","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-a-physics-informed-decision","title":"Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis","date":"2024-06-30","arxiv_id":"2407.00808","n_code_links":0,"syntology":null},{"paper":"/paper/instruct-ipt-all-in-one-image-processing-1","slug":"instruct-ipt-all-in-one-image-processing-1","title":"Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation","date":"2024-06-30","arxiv_id":"2407.00676","n_code_links":1,"syntology":null},{"paper":null,"slug":"legalturk-optimized-bert-for-multi-label-text","title":"LegalTurk Optimized BERT for Multi-Label Text Classification and NER","date":"2024-06-30","arxiv_id":"2407.00648","n_code_links":0,"syntology":null},{"paper":null,"slug":"naist-simultaneous-speech-translation-system","title":"NAIST Simultaneous Speech Translation System for IWSLT 2024","date":"2024-06-30","arxiv_id":"2407.00826","n_code_links":0,"syntology":null},{"paper":null,"slug":"interpreting-pretrained-speech-models-for","title":"Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders","date":"2024-06-29","arxiv_id":"2407.00531","n_code_links":0,"syntology":null},{"paper":null,"slug":"llm-generated-natural-language-meets-scaling","title":"LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods","date":"2024-06-29","arxiv_id":"2407.00322","n_code_links":0,"syntology":null},{"paper":null,"slug":"too-late-to-train-too-early-to-use-a-study-on","title":"Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs","date":"2024-06-29","arxiv_id":"2407.00416","n_code_links":0,"syntology":null},{"paper":"/paper/towards-universal-mesh-movement-networks","slug":"towards-universal-mesh-movement-networks","title":"Towards Universal Mesh Movement Networks","date":"2024-06-29","arxiv_id":"2407.00382","n_code_links":1,"syntology":{"ran":3,"of":7,"n_ran_checked":1,"n_instrument":2,"unverified":4,"pointer_only":0,"phrase":"3 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["mesh-adaptation/um2n"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"urban-visual-appeal-according-to-chatgpt","title":"Urban Visual Appeal According to ChatGPT: Contrasting AI and Human Insights","date":"2024-06-29","arxiv_id":"2407.14268","n_code_links":0,"syntology":null},{"paper":"/paper/anomallmy-detecting-anomalous-tokens-in-black","slug":"anomallmy-detecting-anomalous-tokens-in-black","title":"AnomaLLMy -- Detecting anomalous tokens in black-box LLMs through low-confidence single-token predictions","date":"2024-06-28","arxiv_id":"2406.19840","n_code_links":1,"syntology":null},{"paper":null,"slug":"attention-meets-uavs-a-comprehensive","title":"Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs","date":"2024-06-28","arxiv_id":"2406.19881","n_code_links":0,"syntology":null},{"paper":null,"slug":"can-gpt-4-help-detect-quit-vaping-intentions","title":"Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach","date":"2024-06-28","arxiv_id":"2407.00167","n_code_links":0,"syntology":null},{"paper":null,"slug":"covert-malicious-finetuning-challenges-in","title":"Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation","date":"2024-06-28","arxiv_id":"2406.20053","n_code_links":0,"syntology":null},{"paper":"/paper/generative-iris-prior-embedded-transformer","slug":"generative-iris-prior-embedded-transformer","title":"Generative Iris Prior Embedded Transformer for Iris Restoration","date":"2024-06-28","arxiv_id":"2407.00261","n_code_links":1,"syntology":null},{"paper":"/paper/infinigen-efficient-generative-inference-of","slug":"infinigen-efficient-generative-inference-of","title":"InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management","date":"2024-06-28","arxiv_id":"2406.19707","n_code_links":1,"syntology":{"ran":14,"of":15,"n_ran_checked":10,"n_instrument":4,"unverified":1,"pointer_only":1,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":null}},{"paper":"/paper/multimodal-prototyping-for-cancer-survival","slug":"multimodal-prototyping-for-cancer-survival","title":"Multimodal Prototyping for cancer survival prediction","date":"2024-06-28","arxiv_id":"2407.00224","n_code_links":1,"syntology":{"ran":7,"of":12,"n_ran_checked":4,"n_instrument":3,"unverified":5,"pointer_only":12,"phrase":"7 ran (of which 3 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified","official":{"repos":["mahmoodlab/MMP"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":3,"n_ran_no_instrument_failure":4,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/can-large-language-models-generate-high","slug":"can-large-language-models-generate-high","title":"Can Large Language Models Generate High-quality Patent Claims?","date":"2024-06-27","arxiv_id":"2406.19465","n_code_links":1,"syntology":null},{"paper":null,"slug":"diminishing-stereotype-bias-in-image","title":"Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback","date":"2024-06-27","arxiv_id":"2407.09551","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-video-language-representations-with","title":"Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment","date":"2024-06-27","arxiv_id":"2406.19255","n_code_links":0,"syntology":null},{"paper":"/paper/fibottention-inceptive-visual-representation","slug":"fibottention-inceptive-visual-representation","title":"Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads","date":"2024-06-27","arxiv_id":"2406.19391","n_code_links":1,"syntology":null},{"paper":"/paper/human-aware-vision-and-language-navigation","slug":"human-aware-vision-and-language-navigation","title":"Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions","date":"2024-06-27","arxiv_id":"2406.19236","n_code_links":1,"syntology":{"ran":9,"of":10,"n_ran_checked":9,"n_instrument":0,"unverified":1,"pointer_only":10,"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) · 1 unverified","official":{"repos":["lpercc/ha3d_simulator"],"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":["found_in_text","official"]}}},{"paper":null,"slug":"leveraging-contrastive-learning-for-enhanced","title":"Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers","date":"2024-06-27","arxiv_id":"2406.19258","n_code_links":0,"syntology":null},{"paper":null,"slug":"ntformer-a-composite-node-tokenized-graph","title":"NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification","date":"2024-06-27","arxiv_id":"2406.19249","n_code_links":0,"syntology":null},{"paper":"/paper/retain-blend-and-exchange-a-quality-aware","slug":"retain-blend-and-exchange-a-quality-aware","title":"Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition","date":"2024-06-27","arxiv_id":"2406.18845","n_code_links":1,"syntology":null},{"paper":"/paper/sonnet-or-not-bot-poetry-evaluation-for-large","slug":"sonnet-or-not-bot-poetry-evaluation-for-large","title":"Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets","date":"2024-06-27","arxiv_id":"2406.18906","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":2,"n_instrument":1,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 2 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["maria-antoniak/poetry-eval"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/structural-attention-rethinking-transformer","slug":"structural-attention-rethinking-transformer","title":"Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis","date":"2024-06-27","arxiv_id":"2406.18967","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-model-arena-for-cross-lingual-sentiment","title":"The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models","date":"2024-06-27","arxiv_id":"2406.19358","n_code_links":0,"syntology":null},{"paper":"/paper/unigen-a-unified-framework-for-textual","slug":"unigen-a-unified-framework-for-textual","title":"UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models","date":"2024-06-27","arxiv_id":"2406.18966","n_code_links":1,"syntology":{"ran":8,"of":13,"n_ran_checked":8,"n_instrument":0,"unverified":5,"pointer_only":13,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","official":{"repos":["howiehwong/unigen"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/yzs-model-a-predictive-model-for-organic-drug","slug":"yzs-model-a-predictive-model-for-organic-drug","title":"YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention","date":"2024-06-27","arxiv_id":"2406.19136","n_code_links":1,"syntology":null},{"paper":null,"slug":"3d-mvp-3d-multiview-pretraining-for-robotic","title":"3D-MVP: 3D Multiview Pretraining for Robotic Manipulation","date":"2024-06-26","arxiv_id":"2406.18158","n_code_links":0,"syntology":null},{"paper":"/paper/a-stem-agnostic-single-decoder-system-for","slug":"a-stem-agnostic-single-decoder-system-for","title":"A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems","date":"2024-06-26","arxiv_id":"2406.18747","n_code_links":1,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["kwatcharasupat/query-bandit"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"adversarial-search-engine-optimization-for","title":"Adversarial Search Engine Optimization for Large Language Models","date":"2024-06-26","arxiv_id":"2406.18382","n_code_links":0,"syntology":null},{"paper":null,"slug":"apigen-automated-pipeline-for-generating","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","date":"2024-06-26","arxiv_id":"2406.18518","n_code_links":0,"syntology":null},{"paper":"/paper/badge-badminton-report-generation-and","slug":"badge-badminton-report-generation-and","title":"BADGE: BADminton report Generation and Evaluation with LLM","date":"2024-06-26","arxiv_id":"2406.18116","n_code_links":1,"syntology":null},{"paper":"/paper/geometric-features-enhanced-human-object","slug":"geometric-features-enhanced-human-object","title":"Geometric Features Enhanced Human-Object Interaction Detection","date":"2024-06-26","arxiv_id":"2406.18691","n_code_links":1,"syntology":null},{"paper":null,"slug":"human-free-prompted-based-anomaly-detection","title":"Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme","date":"2024-06-26","arxiv_id":"2406.18197","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-entity-recognition-using-ensembles","title":"Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources","date":"2024-06-26","arxiv_id":"2406.18049","n_code_links":0,"syntology":null},{"paper":"/paper/jailbreaking-llms-with-arabic-transliteration","slug":"jailbreaking-llms-with-arabic-transliteration","title":"Jailbreaking LLMs with Arabic Transliteration and Arabizi","date":"2024-06-26","arxiv_id":"2406.18725","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["securedl/arabic_jailbreak"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/mfdnet-multi-frequency-deflare-network-for","slug":"mfdnet-multi-frequency-deflare-network-for","title":"MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal","date":"2024-06-26","arxiv_id":"2406.18079","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":4,"n_instrument":2,"unverified":1,"pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Jiang-maomao/flare-removal"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"octo-planner-on-device-language-model-for","title":"Octo-planner: On-device Language Model for Planner-Action Agents","date":"2024-06-26","arxiv_id":"2406.18082","n_code_links":0,"syntology":null},{"paper":null,"slug":"re-ranking-step-by-step-investigating-pre","title":"Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models","date":"2024-06-26","arxiv_id":"2406.18740","n_code_links":0,"syntology":null},{"paper":"/paper/repeat-and-concatenate-2d-to-3d-image","slug":"repeat-and-concatenate-2d-to-3d-image","title":"Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling","date":"2024-06-26","arxiv_id":"2406.18422","n_code_links":1,"syntology":null},{"paper":"/paper/step-dpo-step-wise-preference-optimization","slug":"step-dpo-step-wise-preference-optimization","title":"Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs","date":"2024-06-26","arxiv_id":"2406.18629","n_code_links":1,"syntology":{"ran":11,"of":12,"n_ran_checked":10,"n_instrument":1,"unverified":1,"pointer_only":12,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["dvlab-research/step-dpo"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/themis-towards-flexible-and-interpretable-nlg","slug":"themis-towards-flexible-and-interpretable-nlg","title":"Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability","date":"2024-06-26","arxiv_id":"2406.18365","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":3,"n_instrument":2,"unverified":0,"pointer_only":0,"phrase":"5 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["PKU-ONELab/Themis"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"unveiling-and-controlling-anomalous-attention","title":"Unveiling and Controlling Anomalous Attention Distribution in Transformers","date":"2024-06-26","arxiv_id":"2407.01601","n_code_links":0,"syntology":null},{"paper":"/paper/wildguard-open-one-stop-moderation-tools-for","slug":"wildguard-open-one-stop-moderation-tools-for","title":"WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs","date":"2024-06-26","arxiv_id":"2406.18495","n_code_links":4,"syntology":{"ran":1,"of":3,"n_ran_checked":1,"n_instrument":0,"unverified":2,"pointer_only":3,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["allenai/wildguard"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"accelerating-clinical-evidence-synthesis-with","title":"Accelerating Clinical Evidence Synthesis with Large Language Models","date":"2024-06-25","arxiv_id":"2406.17755","n_code_links":0,"syntology":null},{"paper":"/paper/ares-alternating-reinforcement-learning-and","slug":"ares-alternating-reinforcement-learning-and","title":"ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback","date":"2024-06-25","arxiv_id":"2407.00087","n_code_links":1,"syntology":null},{"paper":null,"slug":"autonomous-prompt-engineering-in-large","title":"Autonomous Prompt Engineering in Large Language Models","date":"2024-06-25","arxiv_id":"2407.11000","n_code_links":0,"syntology":null},{"paper":"/paper/cross-modal-spherical-aggregation-for-weakly","slug":"cross-modal-spherical-aggregation-for-weakly","title":"Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal","date":"2024-06-25","arxiv_id":"2406.17469","n_code_links":1,"syntology":null},{"paper":null,"slug":"dark-transformer-a-video-transformer-for","title":"Dark Transformer: A Video Transformer for Action Recognition in the Dark","date":"2024-06-25","arxiv_id":"2407.12805","n_code_links":0,"syntology":null},{"paper":"/paper/director3d-real-world-camera-trajectory-and","slug":"director3d-real-world-camera-trajectory-and","title":"Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text","date":"2024-06-25","arxiv_id":"2406.17601","n_code_links":1,"syntology":{"ran":12,"of":15,"n_ran_checked":7,"n_instrument":5,"unverified":3,"pointer_only":15,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 3 honoured, 0 violated, 4 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","official":{"repos":["imlixinyang/director3d"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"discrete-diffusion-language-model-for-long","title":"Discrete Diffusion Language Model for Long Text Summarization","date":"2024-06-25","arxiv_id":"2407.10998","n_code_links":0,"syntology":null},{"paper":null,"slug":"et-tu-clip-addressing-common-object-errors","title":"ET tu, CLIP? Addressing Common Object Errors for Unseen Environments","date":"2024-06-25","arxiv_id":"2406.17876","n_code_links":0,"syntology":null},{"paper":null,"slug":"knowledge-distillation-in-automated","title":"Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels","date":"2024-06-25","arxiv_id":"2406.17633","n_code_links":0,"syntology":null},{"paper":null,"slug":"longins-a-challenging-long-context","title":"LongIns: A Challenging Long-context Instruction-based Exam for LLMs","date":"2024-06-25","arxiv_id":"2406.17588","n_code_links":0,"syntology":null},{"paper":null,"slug":"point-tree-transformer-for-point-cloud","title":"Point Tree Transformer for Point Cloud Registration","date":"2024-06-25","arxiv_id":"2406.17530","n_code_links":0,"syntology":null},{"paper":"/paper/q-dit-accurate-post-training-quantization-for","slug":"q-dit-accurate-post-training-quantization-for","title":"Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers","date":"2024-06-25","arxiv_id":"2406.17343","n_code_links":1,"syntology":{"ran":17,"of":19,"n_ran_checked":11,"n_instrument":6,"unverified":2,"pointer_only":19,"phrase":"17 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 4 honoured, 0 violated, 7 with no contract checked; 6 where Syntology's instrument failed) · 2 unverified","official":{"repos":["juanerx/q-dit"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":2,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/revitalizing-convolutional-network-for-image","slug":"revitalizing-convolutional-network-for-image","title":"Revitalizing Convolutional Network for Image Restoration","date":"2024-06-25","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"semi-supervised-classification-of-dental","title":"Semi-supervised classification of dental conditions in panoramic radiographs using large language model and instance segmentation: A real-world dataset evaluation","date":"2024-06-25","arxiv_id":"2406.17915","n_code_links":0,"syntology":null},{"paper":null,"slug":"sound-tagging-in-infant-centric-home","title":"Sound Tagging in Infant-centric Home Soundscapes","date":"2024-06-25","arxiv_id":"2406.17190","n_code_links":0,"syntology":null},{"paper":"/paper/structured-unrestricted-rank-matrices-for","slug":"structured-unrestricted-rank-matrices-for","title":"Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning","date":"2024-06-25","arxiv_id":"2406.17740","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 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["arijitthegame/structured-matrices-peft"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"task-agnostic-federated-learning","title":"Task-Agnostic Federated Learning","date":"2024-06-25","arxiv_id":"2406.17235","n_code_links":0,"syntology":null},{"paper":"/paper/temporal-channel-modeling-in-multi-head-self","slug":"temporal-channel-modeling-in-multi-head-self","title":"Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection","date":"2024-06-25","arxiv_id":"2406.17376","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-optimal-trade-offs-in-knowledge","title":"Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge","date":"2024-06-25","arxiv_id":"2407.12808","n_code_links":0,"syntology":null},{"paper":null,"slug":"transformer-based-segmentation-of-adnexal","title":"Improving ovarian cancer segmentation accuracy with transformers through AI-guided labeling","date":"2024-06-25","arxiv_id":"2406.17666","n_code_links":0,"syntology":null},{"paper":"/paper/univariate-skeleton-prediction-in","slug":"univariate-skeleton-prediction-in","title":"Univariate Skeleton Prediction in Multivariate Systems Using Transformers","date":"2024-06-25","arxiv_id":"2406.17834","n_code_links":1,"syntology":null},{"paper":null,"slug":"anomaly-detection-of-tabular-data-using-llms","title":"Anomaly Detection of Tabular Data Using LLMs","date":"2024-06-24","arxiv_id":"2406.16308","n_code_links":0,"syntology":null},{"paper":"/paper/building-on-efficient-foundations-effectively","slug":"building-on-efficient-foundations-effectively","title":"Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers","date":"2024-06-24","arxiv_id":"2406.16450","n_code_links":1,"syntology":null},{"paper":null,"slug":"classification-of-geological-borehole","title":"Classification of Geological Borehole Descriptions Using a Domain Adapted Large Language Model","date":"2024-06-24","arxiv_id":"2407.10991","n_code_links":0,"syntology":null},{"paper":null,"slug":"diff3dformer-leveraging-slice-sequence","title":"Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks","date":"2024-06-24","arxiv_id":"2406.17173","n_code_links":0,"syntology":null},{"paper":"/paper/evaluation-of-language-models-in-the-medical","slug":"evaluation-of-language-models-in-the-medical","title":"Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings","date":"2024-06-24","arxiv_id":"2406.16611","n_code_links":1,"syntology":null},{"paper":null,"slug":"exploring-factual-entailment-with-nli-a-news","title":"Exploring Factual Entailment with NLI: A News Media Study","date":"2024-06-24","arxiv_id":"2406.16842","n_code_links":0,"syntology":null},{"paper":null,"slug":"feature-fusion-for-human-activity-recognition","title":"Feature Fusion for Human Activity Recognition using Parameter-Optimized Multi-Stage Graph Convolutional Network and Transformer Models","date":"2024-06-24","arxiv_id":"2406.16638","n_code_links":0,"syntology":null},{"paper":"/paper/geomformer-a-general-architecture-for","slug":"geomformer-a-general-architecture-for","title":"GeoMFormer: A General Architecture for Geometric Molecular Representation Learning","date":"2024-06-24","arxiv_id":"2406.16853","n_code_links":1,"syntology":null},{"paper":"/paper/gmt-guided-mask-transformer-for-leaf-instance","slug":"gmt-guided-mask-transformer-for-leaf-instance","title":"GMT: Guided Mask Transformer for Leaf Instance Segmentation","date":"2024-06-24","arxiv_id":"2406.17109","n_code_links":1,"syntology":null},{"paper":null,"slug":"large-language-models-in-student-assessment","title":"Large Language Models in Student Assessment: Comparing ChatGPT and Human Graders","date":"2024-06-24","arxiv_id":"2406.16510","n_code_links":0,"syntology":null},{"paper":"/paper/make-graph-neural-networks-great-again-a","slug":"make-graph-neural-networks-great-again-a","title":"Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction","date":"2024-06-24","arxiv_id":"2406.16992","n_code_links":1,"syntology":null},{"paper":null,"slug":"metrik-measurement-efficient-randomized","title":"METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking","date":"2024-06-24","arxiv_id":"2406.16351","n_code_links":0,"syntology":null},{"paper":"/paper/multi-logieval-towards-evaluating-multi-step","slug":"multi-logieval-towards-evaluating-multi-step","title":"Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models","date":"2024-06-24","arxiv_id":"2406.17169","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-modal-vision-transformers-for-crop","title":"Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series","date":"2024-06-24","arxiv_id":"2406.16513","n_code_links":0,"syntology":null},{"paper":"/paper/otce-hybrid-ssm-and-attention-with-cross","slug":"otce-hybrid-ssm-and-attention-with-cross","title":"OTCE: Hybrid SSM and Attention with Cross Domain Mixture of Experts to construct Observer-Thinker-Conceiver-Expresser","date":"2024-06-24","arxiv_id":"2406.16495","n_code_links":1,"syntology":null},{"paper":null,"slug":"plagbench-exploring-the-duality-of-large","title":"PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection","date":"2024-06-24","arxiv_id":"2406.16288","n_code_links":0,"syntology":null},{"paper":"/paper/unambiguous-recognition-should-not-rely","slug":"unambiguous-recognition-should-not-rely","title":"MixTex: Unambiguous Recognition Should Not Rely Solely on Real Data","date":"2024-06-24","arxiv_id":"2406.17148","n_code_links":1,"syntology":null},{"paper":null,"slug":"uno-arena-for-evaluating-sequential-decision","title":"UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models","date":"2024-06-24","arxiv_id":"2406.16382","n_code_links":0,"syntology":null},{"paper":null,"slug":"usdc-a-dataset-of-underline-u-ser-underline-s","title":"USDC: A Dataset of $\\underline{U}$ser $\\underline{S}$tance and $\\underline{D}$ogmatism in Long $\\underline{C}$onversations","date":"2024-06-24","arxiv_id":"2406.16833","n_code_links":0,"syntology":null},{"paper":null,"slug":"venturing-into-uncharted-waters-the","title":"Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba","date":"2024-06-24","arxiv_id":"2406.16722","n_code_links":0,"syntology":null},{"paper":"/paper/breaking-the-frame-image-retrieval-by-visual","slug":"breaking-the-frame-image-retrieval-by-visual","title":"Breaking the Frame: Visual Place Recognition by Overlap Prediction","date":"2024-06-23","arxiv_id":"2406.16204","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: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["weitong8591/vop"],"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":null,"slug":"editfollower-tunable-car-following-models-for","title":"EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems","date":"2024-06-23","arxiv_id":"2407.02516","n_code_links":0,"syntology":null}],"record_sha256":"f8b4f73463f5eb3f441a936b876bb550e2c5f1cdca9cbe450f65da8274e1b79f","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}