{"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":"/task/language-modeling/papers/94","list_of":"/task/language-modeling","task":"Language Modeling","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":94,"pages_in_order":142,"rows_per_page":100,"rows":[9301,9400],"of":14182,"counts":{"archive_papers_tagged":14182,"with_a_code_link":5620,"where_syntology_ran_a_sample":1894,"not_listed_spam_title":0,"listed":14182,"listed_where_code_ran":1894,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1580,"every_run_a_failure_of_syntologys_instrument":314,"listed_with_a_run_with_no_instrument_failure":1580,"listed_every_run_a_failure_of_syntologys_instrument":314,"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":"/task/language-modeling","prev":"/task/language-modeling/papers/93","next":"/task/language-modeling/papers/95","papers":[{"url":null,"slug":"enhanced-user-interaction-in-operating","title":"Enhanced User Interaction in Operating Systems through Machine Learning Language Models","date":"2024-02-24","arxiv_id":"2403.00806","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-cloud-based-large-language-model","title":"Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models","date":"2024-02-24","arxiv_id":"2403.00807","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-failure-cases-in-multimodal","title":"Exploring Failure Cases in Multimodal Reasoning About Physical Dynamics","date":"2024-02-24","arxiv_id":"2402.15654","repositories_listed":0,"syntology":null},{"url":null,"slug":"fgbert-function-driven-pre-trained-gene","title":"FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics","date":"2024-02-24","arxiv_id":"2402.16901","repositories_listed":0,"syntology":null},{"url":null,"slug":"foot-in-the-door-understanding-large-language","title":"Foot In The Door: Understanding Large Language Model Jailbreaking via Cognitive Psychology","date":"2024-02-24","arxiv_id":"2402.15690","repositories_listed":0,"syntology":null},{"url":null,"slug":"hd-eval-aligning-large-language-model","title":"HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition","date":"2024-02-24","arxiv_id":"2402.15754","repositories_listed":0,"syntology":null},{"url":null,"slug":"prp-propagating-universal-perturbations-to","title":"PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails","date":"2024-02-24","arxiv_id":"2402.15911","repositories_listed":0,"syntology":null},{"url":null,"slug":"arabiangpt-native-arabic-gpt-based-large","title":"ArabianGPT: Native Arabic GPT-based Large Language Model","date":"2024-02-23","arxiv_id":"2402.15313","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-self-endorsement-improves","title":"Fine-Grained Self-Endorsement Improves Factuality and Reasoning","date":"2024-02-23","arxiv_id":"2402.15631","repositories_listed":0,"syntology":null},{"url":null,"slug":"predilect-preferences-delineated-with-zero","title":"PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning","date":"2024-02-23","arxiv_id":"2402.15420","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-decision-language-model-dlm-for-dynamic","title":"A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health","date":"2024-02-22","arxiv_id":"2402.14807","repositories_listed":0,"syntology":null},{"url":null,"slug":"automating-psychological-hypothesis","title":"Automating psychological hypothesis generation with AI: when large language models meet causal graph","date":"2024-02-22","arxiv_id":"2402.14424","repositories_listed":0,"syntology":null},{"url":null,"slug":"compass-computational-mapping-of-patient","title":"COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling","date":"2024-02-22","arxiv_id":"2402.14701","repositories_listed":0,"syntology":null},{"url":null,"slug":"dependency-annotation-of-ottoman-turkish-with","title":"Dependency Annotation of Ottoman Turkish with Multilingual BERT","date":"2024-02-22","arxiv_id":"2402.14743","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-keywords-to-structured-summaries","title":"From Keywords to Structured Summaries: Streamlining Scholarly Information Access","date":"2024-02-22","arxiv_id":"2402.14622","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-reduce-optimal-representations-of","title":"Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models","date":"2024-02-22","arxiv_id":"2402.14195","repositories_listed":0,"syntology":null},{"url":null,"slug":"noise-bert-a-unified-perturbation-robust","title":"Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task","date":"2024-02-22","arxiv_id":"2402.14494","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-language-models-for-human","title":"Optimizing Language Models for Human Preferences is a Causal Inference Problem","date":"2024-02-22","arxiv_id":"2402.14979","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-explainable-transformer-based-model-for","title":"An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach","date":"2024-02-21","arxiv_id":"2402.13871","repositories_listed":0,"syntology":null},{"url":null,"slug":"breaking-the-barrier-utilizing-large-language","title":"Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph","date":"2024-02-21","arxiv_id":"2402.13750","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-language-and-graph-models-for-semi","title":"Combining Language and Graph Models for Semi-structured Information Extraction on the Web","date":"2024-02-21","arxiv_id":"2402.14129","repositories_listed":0,"syntology":null},{"url":null,"slug":"gcof-self-iterative-text-generation-for","title":"GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model","date":"2024-02-21","arxiv_id":"2402.13667","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-graph-enhanced-large-language-model","title":"Knowledge Graph Enhanced Large Language Model Editing","date":"2024-02-21","arxiv_id":"2402.13593","repositories_listed":0,"syntology":null},{"url":null,"slug":"kuaiji-the-first-chinese-accounting-large","title":"Kuaiji: the First Chinese Accounting Large Language Model","date":"2024-02-21","arxiv_id":"2402.13866","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-the-dataset-practitioners","title":"Understanding the Dataset Practitioners Behind Large Language Model Development","date":"2024-02-21","arxiv_id":"2402.16611","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-autonomous-large-language-model-agent-for","title":"An Autonomous Large Language Model Agent for Chemical Literature Data Mining","date":"2024-02-20","arxiv_id":"2402.12993","repositories_listed":0,"syntology":null},{"url":"/paper/backward-lens-projecting-language-model","slug":"backward-lens-projecting-language-model","title":"Backward Lens: Projecting Language Model Gradients into the Vocabulary Space","date":"2024-02-20","arxiv_id":"2402.12865","repositories_listed":0,"syntology":{"n":5,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":5,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/backward-lens-projecting-language-model#ran","syntology_url":"https://syntology.ai/paper/2402.12865","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.12865"}},"official":null}},{"url":null,"slug":"bayesian-reward-models-for-llm-alignment","title":"Bayesian Reward Models for LLM Alignment","date":"2024-02-20","arxiv_id":"2402.13210","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatatc-large-language-model-driven","title":"CHATATC: Large Language Model-Driven Conversational Agents for Supporting Strategic Air Traffic Flow Management","date":"2024-02-20","arxiv_id":"2402.14850","repositories_listed":0,"syntology":null},{"url":null,"slug":"gloria-a-generative-and-open-large-language","title":"GlórIA - A Generative and Open Large Language Model for Portuguese","date":"2024-02-20","arxiv_id":"2402.12969","repositories_listed":0,"syntology":null},{"url":null,"slug":"slot-vlm-slowfast-slots-for-video-language","title":"Slot-VLM: SlowFast Slots for Video-Language Modeling","date":"2024-02-20","arxiv_id":"2402.13088","repositories_listed":0,"syntology":null},{"url":null,"slug":"somelvlm-a-large-vision-language-model-for","title":"SoMeLVLM: A Large Vision Language Model for Social Media Processing","date":"2024-02-20","arxiv_id":"2402.13022","repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-guided-prompt-instructing-large","title":"Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text","date":"2024-02-20","arxiv_id":"2402.13415","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-audio-language-modeling-an-overview","title":"Towards audio language modeling - an overview","date":"2024-02-20","arxiv_id":"2402.13236","repositories_listed":0,"syntology":null},{"url":null,"slug":"ask-optimal-questions-aligning-large-language","title":"Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search","date":"2024-02-19","arxiv_id":"2402.11827","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-llms-compute-with-reasons","title":"Can LLMs Compute with Reasons?","date":"2024-02-19","arxiv_id":"2402.12080","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolving-ai-collectives-to-enhance-human","title":"Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation","date":"2024-02-19","arxiv_id":"2402.12590","repositories_listed":0,"syntology":null},{"url":null,"slug":"genaudit-fixing-factual-errors-in-language","title":"GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence","date":"2024-02-19","arxiv_id":"2402.12566","repositories_listed":0,"syntology":null},{"url":null,"slug":"imbue-improving-interpersonal-effectiveness","title":"IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction","date":"2024-02-19","arxiv_id":"2402.12556","repositories_listed":0,"syntology":null},{"url":null,"slug":"key-ingredients-for-effective-zero-shot-cross","title":"Key ingredients for effective zero-shot cross-lingual knowledge transfer in generative tasks","date":"2024-02-19","arxiv_id":"2402.12279","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-for-mental-health-a","title":"Large Language Model for Mental Health: A Systematic Review","date":"2024-02-19","arxiv_id":"2403.15401","repositories_listed":0,"syntology":null},{"url":null,"slug":"purifying-large-language-models-by-ensembling","title":"Purifying Large Language Models by Ensembling a Small Language Model","date":"2024-02-19","arxiv_id":"2402.14845","repositories_listed":0,"syntology":null},{"url":null,"slug":"sola-solver-layer-adaption-of-llm-for-better","title":"DiLA: Enhancing LLM Tool Learning with Differential Logic Layer","date":"2024-02-19","arxiv_id":"2402.11903","repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-guided-large-language-model-for-sql","title":"Structure Guided Large Language Model for SQL Generation","date":"2024-02-19","arxiv_id":"2402.13284","repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-chain-of-thought-prompting-for-few","title":"Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations","date":"2024-02-19","arxiv_id":"2402.11770","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-causal-language-models","title":"Transformer-based Causal Language Models Perform Clustering","date":"2024-02-19","arxiv_id":"2402.12151","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncovering-latent-human-wellbeing-in-language","title":"Uncovering Latent Human Wellbeing in Language Model Embeddings","date":"2024-02-19","arxiv_id":"2402.11777","repositories_listed":0,"syntology":null},{"url":null,"slug":"your-large-language-model-is-secretly-a","title":"Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One","date":"2024-02-19","arxiv_id":"2402.12150","repositories_listed":0,"syntology":null},{"url":null,"slug":"bge-landmark-embedding-a-chunking-free","title":"BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models","date":"2024-02-18","arxiv_id":"2402.11573","repositories_listed":0,"syntology":null},{"url":null,"slug":"extensible-embedding-a-flexible-multipler-for","title":"Extensible Embedding: A Flexible Multipler For LLM's Context Length","date":"2024-02-18","arxiv_id":"2402.11577","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-prejudice-to-parity-a-new-approach-to","title":"From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings","date":"2024-02-18","arxiv_id":"2402.11512","repositories_listed":0,"syntology":null},{"url":null,"slug":"kmmlu-measuring-massive-multitask-language","title":"KMMLU: Measuring Massive Multitask Language Understanding in Korean","date":"2024-02-18","arxiv_id":"2402.11548","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-political-coalition-negotiations","title":"Modelling Political Coalition Negotiations Using LLM-based Agents","date":"2024-02-18","arxiv_id":"2402.11712","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-dimensional-evaluation-of-empathetic","title":"Multi-dimensional Evaluation of Empathetic Dialog Responses","date":"2024-02-18","arxiv_id":"2402.11409","repositories_listed":0,"syntology":null},{"url":null,"slug":"ploutos-towards-interpretable-stock-movement","title":"Ploutos: Towards interpretable stock movement prediction with financial large language model","date":"2024-02-18","arxiv_id":"2403.00782","repositories_listed":0,"syntology":null},{"url":null,"slug":"scinterpreter-training-large-language-models","title":"scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation","date":"2024-02-18","arxiv_id":"2402.12405","repositories_listed":0,"syntology":null},{"url":null,"slug":"shaping-human-ai-collaboration-varied","title":"Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models","date":"2024-02-18","arxiv_id":"2402.11723","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmmmodal-multi-images-multi-audio-multi-turn","title":"MMMModal -- Multi-Images Multi-Audio Multi-turn Multi-Modal","date":"2024-02-17","arxiv_id":"2402.11297","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-the-impact-of-long-term-memory","title":"Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention","date":"2024-02-17","arxiv_id":"2402.11353","repositories_listed":0,"syntology":null},{"url":null,"slug":"instruction-diversity-drives-generalization","title":"Instruction Diversity Drives Generalization To Unseen Tasks","date":"2024-02-16","arxiv_id":"2402.10891","repositories_listed":0,"syntology":null},{"url":null,"slug":"navigating-the-dual-facets-a-comprehensive","title":"Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models","date":"2024-02-16","arxiv_id":"2402.11122","repositories_listed":0,"syntology":null},{"url":null,"slug":"opening-the-black-box-of-large-language","title":"Towards Uncovering How Large Language Model Works: An Explainability Perspective","date":"2024-02-16","arxiv_id":"2402.10688","repositories_listed":0,"syntology":null},{"url":null,"slug":"palm2-vadapter-progressively-aligned-language","title":"PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter","date":"2024-02-16","arxiv_id":"2402.10896","repositories_listed":0,"syntology":null},{"url":null,"slug":"persona-db-efficient-large-language-model","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement","date":"2024-02-16","arxiv_id":"2402.11060","repositories_listed":0,"syntology":null},{"url":null,"slug":"qdylora-quantized-dynamic-low-rank-adaptation","title":"QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning","date":"2024-02-16","arxiv_id":"2402.10462","repositories_listed":0,"syntology":null},{"url":null,"slug":"spar-personalized-content-based","title":"SPAR: Personalized Content-Based Recommendation via Long Engagement Attention","date":"2024-02-16","arxiv_id":"2402.10555","repositories_listed":0,"syntology":null},{"url":null,"slug":"speculative-streaming-fast-llm-inference","title":"Speculative Streaming: Fast LLM Inference without Auxiliary Models","date":"2024-02-16","arxiv_id":"2402.11131","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-in-context-learning-with-a","title":"Understanding In-Context Learning with a Pelican Soup Framework","date":"2024-02-16","arxiv_id":"2402.10424","repositories_listed":0,"syntology":null},{"url":null,"slug":"word-embeddings-revisited-do-llms-offer","title":"Word Embeddings Revisited: Do LLMs Offer Something New?","date":"2024-02-16","arxiv_id":"2402.11094","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-the-roles-of-language-and-vision-in","title":"Analyzing the Roles of Language and Vision in Learning from Limited Data","date":"2024-02-15","arxiv_id":"2403.19669","repositories_listed":0,"syntology":null},{"url":null,"slug":"any-shift-prompting-for-generalization-over","title":"Any-Shift Prompting for Generalization over Distributions","date":"2024-02-15","arxiv_id":"2402.10099","repositories_listed":0,"syntology":null},{"url":null,"slug":"camouflage-is-all-you-need-evaluating-and","title":"Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks","date":"2024-02-15","arxiv_id":"2402.09874","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-tuning-large-language-model-llm","title":"Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4","date":"2024-02-15","arxiv_id":"2402.10083","repositories_listed":0,"syntology":null},{"url":null,"slug":"grounding-language-model-with-chunking-free","title":"Grounding Language Model with Chunking-Free In-Context Retrieval","date":"2024-02-15","arxiv_id":"2402.09760","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-non-autoregressive-machine","title":"Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization","date":"2024-02-15","arxiv_id":"2402.09725","repositories_listed":0,"syntology":null},{"url":null,"slug":"inadequacies-of-large-language-model","title":"Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence","date":"2024-02-15","arxiv_id":"2402.09880","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-models-with-conformal-factuality","title":"Language Models with Conformal Factuality Guarantees","date":"2024-02-15","arxiv_id":"2402.10978","repositories_listed":0,"syntology":null},{"url":null,"slug":"mind-the-modality-gap-towards-a-remote","title":"Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment","date":"2024-02-15","arxiv_id":"2402.09816","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-fidelity-methods-for-optimization-a","title":"Multi-Fidelity Methods for Optimization: A Survey","date":"2024-02-15","arxiv_id":"2402.09638","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompt-based-bias-calibration-for-better-zero","title":"Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models","date":"2024-02-15","arxiv_id":"2402.10353","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantized-embedding-vectors-for-controllable","title":"Quantized Embedding Vectors for Controllable Diffusion Language Models","date":"2024-02-15","arxiv_id":"2402.10107","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-a-team-of-ai-made-scientists-for","title":"Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data","date":"2024-02-15","arxiv_id":"2402.12391","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-language-model-for-particle-tracking","title":"A Language Model for Particle Tracking","date":"2024-02-14","arxiv_id":"2402.10239","repositories_listed":0,"syntology":null},{"url":null,"slug":"agentlens-visual-analysis-for-agent-behaviors","title":"AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems","date":"2024-02-14","arxiv_id":"2402.08995","repositories_listed":0,"syntology":null},{"url":null,"slug":"fgeo-tp-a-language-model-enhanced-solver-for","title":"FGeo-TP: A Language Model-Enhanced Solver for Geometry Problems","date":"2024-02-14","arxiv_id":"2402.09047","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalization-in-healthcare-ai-evaluation-of","title":"Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model","date":"2024-02-14","arxiv_id":"2402.10965","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-based-interpretable","title":"Large Language Model-Based Interpretable Machine Learning Control in Building Energy Systems","date":"2024-02-14","arxiv_id":"2402.09584","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-interaction-simulator","title":"Large Language Model Simulator for Cold-Start Recommendation","date":"2024-02-14","arxiv_id":"2402.09176","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-with-graph-convolution","title":"Large Language Model with Graph Convolution for Recommendation","date":"2024-02-14","arxiv_id":"2402.08859","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-query-focused-disaster-summarization","title":"Multi-Query Focused Disaster Summarization via Instruction-Based Prompting","date":"2024-02-14","arxiv_id":"2402.09008","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-large-language-model-architectures","title":"Rethinking Large Language Model Architectures for Sequential Recommendations","date":"2024-02-14","arxiv_id":"2402.09543","repositories_listed":0,"syntology":null},{"url":null,"slug":"experts-don-t-cheat-learning-what-you-don-t","title":"Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs","date":"2024-02-13","arxiv_id":"2402.08733","repositories_listed":0,"syntology":null},{"url":null,"slug":"intriguing-differences-between-zero-shot-and","title":"Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models","date":"2024-02-13","arxiv_id":"2402.08473","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-shot-imitation-in-a-non-stationary","title":"One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill","date":"2024-02-13","arxiv_id":"2402.08369","repositories_listed":0,"syntology":null},{"url":null,"slug":"privacy-preserving-language-model-inference","title":"Privacy-Preserving Language Model Inference with Instance Obfuscation","date":"2024-02-13","arxiv_id":"2402.08227","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-application-of-chatgpt-in-responding-to","title":"The Application of ChatGPT in Responding to Questions Related to the Boston Bowel Preparation Scale","date":"2024-02-13","arxiv_id":"2402.08492","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-question-answering-instruction","title":"Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks","date":"2024-02-13","arxiv_id":"2402.08360","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-preference-learning-for-large-language","title":"Active Preference Learning for Large Language Models","date":"2024-02-12","arxiv_id":"2402.08114","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-generalization-for-subpopulation","title":"Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning","date":"2024-02-12","arxiv_id":"2402.07368","repositories_listed":0,"syntology":null},{"url":null,"slug":"aya-model-an-instruction-finetuned-open","title":"Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model","date":"2024-02-12","arxiv_id":"2402.07827","repositories_listed":0,"syntology":null}],"record_sha256":"3387cc6ed0933858670efb7d16b5b91047c0415855a9cab4cadb4c74ab037e77","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}