{"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/dense-connections/papers/60","list_of":"/method/dense-connections","method":"Dense Connections","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":60,"pages_in_order":293,"rows_per_page":100,"rows":[5901,6000],"of":29230,"counts":{"archive_papers_tagged":29230,"with_a_code_link":12972,"where_syntology_ran_a_sample":3929,"not_listed_spam_title":0,"listed":29230,"listed_where_code_ran":3929,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":3303,"every_run_a_failure_of_syntologys_instrument":626,"listed_with_a_run_with_no_instrument_failure":3303,"listed_every_run_a_failure_of_syntologys_instrument":626,"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/dense-connections","prev":"/method/dense-connections/papers/59","next":"/method/dense-connections/papers/61","papers":[{"paper":null,"slug":"self-taught-evaluators","title":"Self-Taught Evaluators","date":"2024-08-05","arxiv_id":"2408.02666","n_code_links":0,"syntology":null},{"paper":"/paper/toward-attention-based-tinyml-a-heterogeneous","slug":"toward-attention-based-tinyml-a-heterogeneous","title":"Toward Attention-based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow","date":"2024-08-05","arxiv_id":"2408.02473","n_code_links":1,"syntology":null},{"paper":"/paper/xmainframe-a-large-language-model-for","slug":"xmainframe-a-large-language-model-for","title":"XMainframe: A Large Language Model for Mainframe Modernization","date":"2024-08-05","arxiv_id":"2408.04660","n_code_links":1,"syntology":null},{"paper":"/paper/2408-01933","slug":"2408-01933","title":"DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models","date":"2024-08-04","arxiv_id":"2408.01933","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":9,"n_instrument":2,"unverified":2,"pointer_only":13,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["wbw520/direct"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"2408-01935","title":"Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference","date":"2024-08-04","arxiv_id":"2408.01935","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01966","slug":"2408-01966","title":"ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science","date":"2024-08-04","arxiv_id":"2408.01966","n_code_links":1,"syntology":null},{"paper":"/paper/2408-02001","slug":"2408-02001","title":"AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis","date":"2024-08-04","arxiv_id":"2408.02001","n_code_links":1,"syntology":null},{"paper":"/paper/2408-02056","slug":"2408-02056","title":"MedSyn: LLM-based Synthetic Medical Text Generation Framework","date":"2024-08-04","arxiv_id":"2408.02056","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02088","title":"KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for autonomous driving","date":"2024-08-04","arxiv_id":"2408.02088","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02103","title":"Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process","date":"2024-08-04","arxiv_id":"2408.02103","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-large-language-models-with-chain","title":"Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference","date":"2024-08-04","arxiv_id":"2408.04652","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01614","title":"Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment","date":"2024-08-03","arxiv_id":"2408.01614","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01633","title":"Self-Emotion Blended Dialogue Generation in Social Simulation Agents","date":"2024-08-03","arxiv_id":"2408.01633","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01655","title":"Stimulating Imagination: Towards General-purpose Object Rearrangement","date":"2024-08-03","arxiv_id":"2408.01655","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01723","title":"A Novel Evaluation Framework for Image2Text Generation","date":"2024-08-03","arxiv_id":"2408.01723","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01739","title":"LAM3D: Leveraging Attention for Monocular 3D Object Detection","date":"2024-08-03","arxiv_id":"2408.01739","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01745","title":"Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction","date":"2024-08-03","arxiv_id":"2408.01745","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01752","title":"Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification","date":"2024-08-03","arxiv_id":"2408.01752","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01826","title":"GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer","date":"2024-08-03","arxiv_id":"2408.01826","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01838","title":"Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis","date":"2024-08-03","arxiv_id":"2408.01838","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01866","title":"Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly","date":"2024-08-03","arxiv_id":"2408.01866","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01869","slug":"2408-01869","title":"MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance","date":"2024-08-03","arxiv_id":"2408.01869","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-02692","title":"Attention is all you need for an improved CNN-based flash flood susceptibility modeling. The case of the ungauged Rheraya watershed, Morocco","date":"2024-08-03","arxiv_id":"2408.02692","n_code_links":0,"syntology":null},{"paper":null,"slug":"building-trust-in-mental-health-chatbots","title":"Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools","date":"2024-08-03","arxiv_id":"2408.04650","n_code_links":0,"syntology":null},{"paper":null,"slug":"distinguishing-chatbot-from-human","title":"Distinguishing Chatbot from Human","date":"2024-08-03","arxiv_id":"2408.04647","n_code_links":0,"syntology":null},{"paper":null,"slug":"jambatalk-speech-driven-3d-talking-head","title":"JambaTalk: Speech-Driven 3D Talking Head Generation Based on Hybrid Transformer-Mamba Language Model","date":"2024-08-03","arxiv_id":"2408.01627","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-00981","title":"Cross-domain Named Entity Recognition via Graph Matching","date":"2024-08-02","arxiv_id":"2408.00981","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01031","slug":"2408-01031","title":"POA: Pre-training Once for Models of All Sizes","date":"2024-08-02","arxiv_id":"2408.01031","n_code_links":1,"syntology":null},{"paper":"/paper/2408-01037","slug":"2408-01037","title":"MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection","date":"2024-08-02","arxiv_id":"2408.01037","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-01040","title":"Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix","date":"2024-08-02","arxiv_id":"2408.01040","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01055","title":"LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems","date":"2024-08-02","arxiv_id":"2408.01055","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01063","slug":"2408-01063","title":"Leveraging Encoder-only Large Language Models for Mobile App Review Feature Extraction","date":"2024-08-02","arxiv_id":"2408.01063","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-01107","title":"BioRAG: A RAG-LLM Framework for Biological Question Reasoning","date":"2024-08-02","arxiv_id":"2408.01107","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01120","slug":"2408-01120","title":"An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding","date":"2024-08-02","arxiv_id":"2408.01120","n_code_links":1,"syntology":{"ran":12,"of":15,"n_ran_checked":10,"n_instrument":2,"unverified":3,"pointer_only":15,"phrase":"12 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; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["chenwei746/eevg"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"2408-01129","title":"A Survey of Mamba","date":"2024-08-02","arxiv_id":"2408.01129","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01167","slug":"2408-01167","title":"Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification","date":"2024-08-02","arxiv_id":"2408.01167","n_code_links":1,"syntology":null},{"paper":"/paper/2408-01180","slug":"2408-01180","title":"Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio Generation","date":"2024-08-02","arxiv_id":"2408.01180","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-01188","title":"Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems","date":"2024-08-02","arxiv_id":"2408.01188","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01214","title":"High-Throughput Phenotyping of Clinical Text Using Large Language Models","date":"2024-08-02","arxiv_id":"2408.01214","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01224","slug":"2408-01224","title":"Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification","date":"2024-08-02","arxiv_id":"2408.01224","n_code_links":1,"syntology":null},{"paper":"/paper/2408-01230","slug":"2408-01230","title":"HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling","date":"2024-08-02","arxiv_id":"2408.01230","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-01231","title":"WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification","date":"2024-08-02","arxiv_id":"2408.01231","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01262","slug":"2408-01262","title":"RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework","date":"2024-08-02","arxiv_id":"2408.01262","n_code_links":1,"syntology":null},{"paper":"/paper/2408-01293","slug":"2408-01293","title":"Underwater Object Detection Enhancement via Channel Stabilization","date":"2024-08-02","arxiv_id":"2408.01293","n_code_links":1,"syntology":null},{"paper":"/paper/2408-01372","slug":"2408-01372","title":"Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification","date":"2024-08-02","arxiv_id":"2408.01372","n_code_links":2,"syntology":null},{"paper":null,"slug":"2408-01384","title":"NOLO: Navigate Only Look Once","date":"2024-08-02","arxiv_id":"2408.01384","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-01402","title":"Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer","date":"2024-08-02","arxiv_id":"2408.01402","n_code_links":0,"syntology":null},{"paper":"/paper/2408-01579","slug":"2408-01579","title":"THOR2: Topological Analysis for 3D Shape and Color-Based Human-Inspired Object Recognition in Unseen Environments","date":"2024-08-02","arxiv_id":"2408.01579","n_code_links":1,"syntology":null},{"paper":null,"slug":"evaluating-the-impact-of-advanced-llm","title":"Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course","date":"2024-08-02","arxiv_id":"2408.04645","n_code_links":0,"syntology":null},{"paper":null,"slug":"sharp-net-a-refined-pyramid-network-for","title":"SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes","date":"2024-08-02","arxiv_id":"2408.08879","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-00244","title":"Enhanced Structured State Space Models via Grouped FIR Filtering and Attention Sink Mechanisms","date":"2024-08-01","arxiv_id":"2408.00244","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-00329","title":"OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack","date":"2024-08-01","arxiv_id":"2408.00329","n_code_links":0,"syntology":null},{"paper":"/paper/2408-00727","slug":"2408-00727","title":"Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions","date":"2024-08-01","arxiv_id":"2408.00727","n_code_links":1,"syntology":null},{"paper":null,"slug":"2408-00749","title":"Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer","date":"2024-08-01","arxiv_id":"2408.00749","n_code_links":0,"syntology":null},{"paper":"/paper/2408-00764","slug":"2408-00764","title":"AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation","date":"2024-08-01","arxiv_id":"2408.00764","n_code_links":1,"syntology":{"ran":5,"of":9,"n_ran_checked":5,"n_instrument":0,"unverified":4,"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) · 4 unverified","official":{"repos":["lazychih114/AgentGen-Reproduction"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"2408-00914","title":"Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detection","date":"2024-08-01","arxiv_id":"2408.00914","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-00921","title":"Automatic Pull Request Description Generation Using LLMs: A T5 Model Approach","date":"2024-08-01","arxiv_id":"2408.00921","n_code_links":0,"syntology":null},{"paper":"/paper/3d-u-kan-implementation-for-multi-modal-mri","slug":"3d-u-kan-implementation-for-multi-modal-mri","title":"UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation","date":"2024-08-01","arxiv_id":"2408.00273","n_code_links":1,"syntology":null},{"paper":"/paper/advancing-medical-image-segmentation","slug":"advancing-medical-image-segmentation","title":"Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer","date":"2024-08-01","arxiv_id":"2408.00347","n_code_links":1,"syntology":null},{"paper":"/paper/dntextspotter-arbitrary-shaped-scene-text","slug":"dntextspotter-arbitrary-shaped-scene-text","title":"DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training","date":"2024-08-01","arxiv_id":"2408.00355","n_code_links":1,"syntology":null},{"paper":null,"slug":"empowering-snapshot-compressive-imaging","title":"Cross-Scan Mamba with Masked Training for Robust Spectral Imaging","date":"2024-08-01","arxiv_id":"2408.00629","n_code_links":0,"syntology":null},{"paper":"/paper/guiding-sentiment-analysis-with-hierarchical","slug":"guiding-sentiment-analysis-with-hierarchical","title":"Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic","date":"2024-08-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"hybrid-querying-over-relational-databases-and","title":"Hybrid Querying Over Relational Databases and Large Language Models","date":"2024-08-01","arxiv_id":"2408.00884","n_code_links":0,"syntology":null},{"paper":null,"slug":"ontological-relations-from-word-embeddings","title":"Ontological Relations from Word Embeddings","date":"2024-08-01","arxiv_id":"2408.00444","n_code_links":0,"syntology":null},{"paper":"/paper/segstitch-multidimensional-transformer-for","slug":"segstitch-multidimensional-transformer-for","title":"SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation","date":"2024-08-01","arxiv_id":"2408.00496","n_code_links":1,"syntology":null},{"paper":null,"slug":"what-comes-after-transformers-a-selective","title":"What comes after transformers? -- A selective survey connecting ideas in deep learning","date":"2024-08-01","arxiv_id":"2408.00386","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21276","title":"Multi-Level Querying using A Knowledge Pyramid","date":"2024-07-31","arxiv_id":"2407.21276","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21300","title":"SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering","date":"2024-07-31","arxiv_id":"2407.21300","n_code_links":0,"syntology":null},{"paper":"/paper/2407-21320","slug":"2407-21320","title":"MetaOpenFOAM: an LLM-based multi-agent framework for CFD","date":"2024-07-31","arxiv_id":"2407.21320","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["terry-cyx/metaopenfoam"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"2407-21328","title":"Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation","date":"2024-07-31","arxiv_id":"2407.21328","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21330","title":"Performance of Recent Large Language Models for a Low-Resourced Language","date":"2024-07-31","arxiv_id":"2407.21330","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21443","title":"Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency","date":"2024-07-31","arxiv_id":"2407.21443","n_code_links":0,"syntology":null},{"paper":"/paper/2407-21491","slug":"2407-21491","title":"Generative Expressive Conversational Speech Synthesis","date":"2024-07-31","arxiv_id":"2407.21491","n_code_links":1,"syntology":null},{"paper":null,"slug":"2407-21507","title":"FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication","date":"2024-07-31","arxiv_id":"2407.21507","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21512","title":"Interpreting and learning voice commands with a Large Language Model for a robot system","date":"2024-07-31","arxiv_id":"2407.21512","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21531","title":"Can LLMs \"Reason\" in Music? An Evaluation of LLMs' Capability of Music Understanding and Generation","date":"2024-07-31","arxiv_id":"2407.21531","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21571","title":"PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning","date":"2024-07-31","arxiv_id":"2407.21571","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21687","title":"Dynamic Object Queries for Transformer-based Incremental Object Detection","date":"2024-07-31","arxiv_id":"2407.21687","n_code_links":0,"syntology":null},{"paper":null,"slug":"2407-21712","title":"Adaptive Retrieval-Augmented Generation for Conversational Systems","date":"2024-07-31","arxiv_id":"2407.21712","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-00118","title":"Gemma 2: Improving Open Language Models at a Practical Size","date":"2024-07-31","arxiv_id":"2408.00118","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-00197","title":"Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models","date":"2024-07-31","arxiv_id":"2408.00197","n_code_links":0,"syntology":null},{"paper":null,"slug":"2408-02680","title":"Recording First-person Experiences to Build a New Type of Foundation Model","date":"2024-07-31","arxiv_id":"2408.02680","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-new-type-of-foundation-model-based-on","title":"A New Type of Foundation Model Based on Recordings of People's Emotions and Physiology","date":"2024-07-31","arxiv_id":"2408.00030","n_code_links":0,"syntology":null},{"paper":"/paper/a-simple-low-bit-quantization-framework-for","slug":"a-simple-low-bit-quantization-framework-for","title":"A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging","date":"2024-07-31","arxiv_id":"2407.21517","n_code_links":1,"syntology":null},{"paper":"/paper/beat-this-accurate-beat-tracking-without-dbn","slug":"beat-this-accurate-beat-tracking-without-dbn","title":"Beat this! Accurate beat tracking without DBN postprocessing","date":"2024-07-31","arxiv_id":"2407.21658","n_code_links":1,"syntology":null},{"paper":null,"slug":"cc-sam-sam-with-cross-feature-attention-and","title":"CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation","date":"2024-07-31","arxiv_id":"2408.00181","n_code_links":0,"syntology":null},{"paper":null,"slug":"image-based-deep-reinforcement-learning-with","title":"Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks","date":"2024-07-31","arxiv_id":"2407.21338","n_code_links":0,"syntology":null},{"paper":"/paper/mart-multiscale-relational-transformer","slug":"mart-multiscale-relational-transformer","title":"MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction","date":"2024-07-31","arxiv_id":"2407.21635","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-the-fly-point-feature-representation-for","title":"On-the-fly Point Feature Representation for Point Clouds Analysis","date":"2024-07-31","arxiv_id":"2407.21335","n_code_links":0,"syntology":null},{"paper":"/paper/roadformer-delivering-rgb-x-scene-parsing","slug":"roadformer-delivering-rgb-x-scene-parsing","title":"RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion","date":"2024-07-31","arxiv_id":"2407.21631","n_code_links":0,"syntology":null},{"paper":null,"slug":"semantic-successive-refinement-a-generative","title":"Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework","date":"2024-07-31","arxiv_id":"2408.05112","n_code_links":0,"syntology":null},{"paper":"/paper/the-llama-3-herd-of-models","slug":"the-llama-3-herd-of-models","title":"The Llama 3 Herd of Models","date":"2024-07-31","arxiv_id":"2407.21783","n_code_links":5,"syntology":{"ran":9,"of":9,"n_ran_checked":8,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":null}},{"paper":"/paper/tora-trajectory-oriented-diffusion","slug":"tora-trajectory-oriented-diffusion","title":"Tora: Trajectory-oriented Diffusion Transformer for Video Generation","date":"2024-07-31","arxiv_id":"2407.21705","n_code_links":1,"syntology":{"ran":9,"of":12,"n_ran_checked":7,"n_instrument":2,"unverified":3,"pointer_only":0,"phrase":"9 ran (of which 4 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["alibaba/Tora"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":4,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/2407-21124","slug":"2407-21124","title":"Zero Shot Health Trajectory Prediction Using Transformer","date":"2024-07-30","arxiv_id":"2407.21124","n_code_links":1,"syntology":{"ran":3,"of":6,"n_ran_checked":3,"n_instrument":0,"unverified":3,"pointer_only":0,"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) · 3 unverified","official":{"repos":["ipolharvard/ethos-paper"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"2407-21153","title":"Event-Arguments Extraction Corpus and Modeling using BERT for Arabic","date":"2024-07-30","arxiv_id":"2407.21153","n_code_links":0,"syntology":null},{"paper":"/paper/2407-21170","slug":"2407-21170","title":"Decomposed Prompting to Answer Questions on a Course Discussion Board","date":"2024-07-30","arxiv_id":"2407.21170","n_code_links":1,"syntology":null},{"paper":"/paper/2407-21191","slug":"2407-21191","title":"GenRec: Generative Sequential Recommendation with Large Language Models","date":"2024-07-30","arxiv_id":"2407.21191","n_code_links":1,"syntology":null},{"paper":"/paper/advancing-vietnamese-visual-question","slug":"advancing-vietnamese-visual-question","title":"Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration","date":"2024-07-30","arxiv_id":"2407.21229","n_code_links":1,"syntology":null},{"paper":null,"slug":"be-aware-of-overfitting-by-hyperparameter","title":"Be aware of overfitting by hyperparameter optimization!","date":"2024-07-30","arxiv_id":"2407.20786","n_code_links":0,"syntology":null},{"paper":null,"slug":"bert-and-llms-based-avgfp-brightness","title":"BERT and LLMs-Based avGFP Brightness Prediction and Mutation Design","date":"2024-07-30","arxiv_id":"2407.20534","n_code_links":0,"syntology":null}],"record_sha256":"cb6732e41eed69000b394d69da469b10e46bb7223f99a1f7d35d840954d2d829","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}