{"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/large-language-model/papers/33","list_of":"/task/large-language-model","task":"Large Language Model","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":33,"pages_in_order":61,"rows_per_page":100,"rows":[3201,3300],"of":6097,"counts":{"archive_papers_tagged":6097,"with_a_code_link":2250,"where_syntology_ran_a_sample":801,"not_listed_spam_title":0,"listed":6097,"listed_where_code_ran":801,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":683,"every_run_a_failure_of_syntologys_instrument":118,"listed_with_a_run_with_no_instrument_failure":683,"listed_every_run_a_failure_of_syntologys_instrument":118,"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/large-language-model","prev":"/task/large-language-model/papers/32","next":"/task/large-language-model/papers/34","papers":[{"url":null,"slug":"evaluating-the-effect-of-retrieval","title":"Evaluating the Effect of Retrieval Augmentation on Social Biases","date":"2025-02-24","arxiv_id":"2502.17611","repositories_listed":0,"syntology":null},{"url":null,"slug":"filterllm-text-to-distribution-llm-for","title":"FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation","date":"2025-02-24","arxiv_id":"2502.16924","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-perceptions-to-decisions-wildfire","title":"From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs","date":"2025-02-24","arxiv_id":"2502.17701","repositories_listed":0,"syntology":null},{"url":null,"slug":"igda-interactive-graph-discovery-through","title":"IGDA: Interactive Graph Discovery through Large Language Model Agents","date":"2025-02-24","arxiv_id":"2502.17189","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-interactive-diagnostic-ability-of-a","title":"Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning","date":"2025-02-24","arxiv_id":"2503.16463","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-protein-sequence-embeddings-with","title":"Integrating protein sequence embeddings with structure via graph-based deep learning for the prediction of single-residue properties","date":"2025-02-24","arxiv_id":"2502.17294","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-liquidity-aware-bond-yields-using","title":"Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation","date":"2025-02-24","arxiv_id":"2502.17011","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-monitoring-of-economic-shocks-using","title":"Real-time Monitoring of Economic Shocks using Company Websites","date":"2025-02-24","arxiv_id":"2502.17161","repositories_listed":0,"syntology":null},{"url":null,"slug":"sarang-at-defactify-4-0-detecting-ai","title":"Sarang at DEFACTIFY 4.0: Detecting AI-Generated Text Using Noised Data and an Ensemble of DeBERTa Models","date":"2025-02-24","arxiv_id":"2502.16857","repositories_listed":0,"syntology":null},{"url":"/paper/sparc-score-prompting-and-adaptive-fusion-for","slug":"sparc-score-prompting-and-adaptive-fusion-for","title":"SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models","date":"2025-02-24","arxiv_id":"2502.16911","repositories_listed":0,"syntology":{"n":12,"n_ran":6,"n_constructed":0,"n_ran_checked":0,"n_instrument":6,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":12,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 6 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/sparc-score-prompting-and-adaptive-fusion-for#ran","syntology_url":"https://syntology.ai/paper/2502.16911","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.16911"}},"official":null}},{"url":null,"slug":"thus-spake-long-context-large-language-model","title":"Thus Spake Long-Context Large Language Model","date":"2025-02-24","arxiv_id":"2502.17129","repositories_listed":0,"syntology":null},{"url":null,"slug":"time-series-forecasting-based-on-optimized","title":"Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators","date":"2025-02-24","arxiv_id":"2502.17341","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-the-uncertainty-of-llm","title":"Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology","date":"2025-02-24","arxiv_id":"2502.17026","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-load-forecasting-for-integrated","title":"Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning","date":"2025-02-24","arxiv_id":"2502.16896","repositories_listed":0,"syntology":null},{"url":null,"slug":"navigation-gpt-a-robust-and-adaptive","title":"Navigation-GPT: A Robust and Adaptive Framework Utilizing Large Language Models for Navigation Applications","date":"2025-02-23","arxiv_id":"2502.16402","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-augmented-visual-question-answering-1","title":"Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines","date":"2025-02-23","arxiv_id":"2502.16641","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequence-level-large-language-model-training","title":"Sequence-level Large Language Model Training with Contrastive Preference Optimization","date":"2025-02-23","arxiv_id":"2502.16433","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-parallel-tree-search-for-efficient","title":"Dynamic Parallel Tree Search for Efficient LLM Reasoning","date":"2025-02-22","arxiv_id":"2502.16235","repositories_listed":0,"syntology":null},{"url":null,"slug":"echo-a-large-language-model-with-temporal","title":"Echo: A Large Language Model with Temporal Episodic Memory","date":"2025-02-22","arxiv_id":"2502.16090","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-sentiment-manipulation-by-llm","title":"Exploring Sentiment Manipulation by LLM-Enabled Intelligent Trading Agents","date":"2025-02-22","arxiv_id":"2502.16343","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-preferences-in-large-language-model","title":"Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction","date":"2025-02-22","arxiv_id":"2502.16280","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-for-lossless-image","title":"Large Language Model for Lossless Image Compression with Visual Prompts","date":"2025-02-22","arxiv_id":"2502.16163","repositories_listed":0,"syntology":null},{"url":null,"slug":"maybe-i-should-not-answer-that-but-do-llms","title":"Maybe I Should Not Answer That, but... Do LLMs Understand The Safety of Their Inputs?","date":"2025-02-22","arxiv_id":"2502.16174","repositories_listed":0,"syntology":null},{"url":null,"slug":"qwendy-gene-regulatory-network-inference","title":"QWENDY: Gene Regulatory Network Inference Enhanced by Large Language Model and Transformer","date":"2025-02-22","arxiv_id":"2503.09605","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-zero-shot-rare-word-recognition","title":"Understanding Zero-shot Rare Word Recognition Improvements Through LLM Integration","date":"2025-02-22","arxiv_id":"2502.16142","repositories_listed":0,"syntology":null},{"url":null,"slug":"zigong-1-0-a-large-language-model-for","title":"ZiGong 1.0: A Large Language Model for Financial Credit","date":"2025-02-22","arxiv_id":"2502.16159","repositories_listed":0,"syntology":null},{"url":null,"slug":"chats-grid-an-iterative-retrieval-q-a","title":"Chats-Grid: An Iterative Retrieval Q&A Optimization Scheme Leveraging Large Model and Retrieval Enhancement Generation in smart grid","date":"2025-02-21","arxiv_id":"2502.15583","repositories_listed":0,"syntology":null},{"url":null,"slug":"chitrarth-bridging-vision-and-language-for-a","title":"Chitrarth: Bridging Vision and Language for a Billion People","date":"2025-02-21","arxiv_id":"2502.15392","repositories_listed":0,"syntology":null},{"url":null,"slug":"coherency-improved-explainable-recommendation","title":"Coherency Improved Explainable Recommendation via Large Language Model","date":"2025-02-21","arxiv_id":"2504.05315","repositories_listed":0,"syntology":null},{"url":null,"slug":"constructing-a-norm-for-children-s-scientific","title":"Constructing a Norm for Children's Scientific Drawing: Distribution Features Based on Semantic Similarity of Large Language Models","date":"2025-02-21","arxiv_id":"2502.15348","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-features-that-shape-perceived","title":"Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responses","date":"2025-02-21","arxiv_id":"2502.15365","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-value-based-process-verifier-via","title":"Improving Value-based Process Verifier via Structural Prior Injection","date":"2025-02-21","arxiv_id":"2502.17498","repositories_listed":0,"syntology":null},{"url":null,"slug":"ledd-large-language-model-empowered-data","title":"LEDD: Large Language Model-Empowered Data Discovery in Data Lakes","date":"2025-02-21","arxiv_id":"2502.15182","repositories_listed":0,"syntology":null},{"url":null,"slug":"move-a-mixture-of-vision-encoders-approach","title":"MOVE: A Mixture-of-Vision-Encoders Approach for Domain-Focused Vision-Language Processing","date":"2025-02-21","arxiv_id":"2502.15381","repositories_listed":0,"syntology":null},{"url":null,"slug":"papi-exploiting-dynamic-parallelism-in-large","title":"PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System","date":"2025-02-21","arxiv_id":"2502.15470","repositories_listed":0,"syntology":null},{"url":null,"slug":"position-standard-benchmarks-fail-llm-agents","title":"Standard Benchmarks Fail -- Auditing LLM Agents in Finance Must Prioritize Risk","date":"2025-02-21","arxiv_id":"2502.15865","repositories_listed":0,"syntology":null},{"url":null,"slug":"worldcraft-photo-realistic-3d-world-creation","title":"WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM Agents","date":"2025-02-21","arxiv_id":"2502.15601","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-self-talk-a-communication-centric","title":"Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems","date":"2025-02-20","arxiv_id":"2502.14321","repositories_listed":0,"syntology":null},{"url":null,"slug":"hps-hard-preference-sampling-for-human","title":"HPS: Hard Preference Sampling for Human Preference Alignment","date":"2025-02-20","arxiv_id":"2502.14400","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-relevance-propagated-from-retriever-to","title":"Is Relevance Propagated from Retriever to Generator in RAG?","date":"2025-02-20","arxiv_id":"2502.15025","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-singular-spectrum-for-large","title":"Optimizing Singular Spectrum for Large Language Model Compression","date":"2025-02-20","arxiv_id":"2502.15092","repositories_listed":0,"syntology":null},{"url":"/paper/rapid-word-learning-through-meta-in-context","slug":"rapid-word-learning-through-meta-in-context","title":"Rapid Word Learning Through Meta In-Context Learning","date":"2025-02-20","arxiv_id":"2502.14791","repositories_listed":0,"syntology":{"n":4,"n_ran":4,"n_constructed":1,"n_ran_checked":1,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":4,"phrase":"4 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; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/rapid-word-learning-through-meta-in-context#ran","syntology_url":"https://syntology.ai/paper/2502.14791","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.14791"}},"official":null}},{"url":null,"slug":"sr-llm-rethinking-the-structured","title":"SR-LLM: Rethinking the Structured Representation in Large Language Model","date":"2025-02-20","arxiv_id":"2502.14352","repositories_listed":0,"syntology":null},{"url":null,"slug":"autellix-an-efficient-serving-engine-for-llm","title":"Autellix: An Efficient Serving Engine for LLM Agents as General Programs","date":"2025-02-19","arxiv_id":"2502.13965","repositories_listed":0,"syntology":null},{"url":null,"slug":"complex-ontology-matching-with-large-language","title":"Complex Ontology Matching with Large Language Model Embeddings","date":"2025-02-19","arxiv_id":"2502.13619","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-segmentation-applications-in-large","title":"Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments","date":"2025-02-19","arxiv_id":"2502.13349","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-should-think-and-action-as-a-human","title":"LLM should think and action as a human","date":"2025-02-19","arxiv_id":"2502.13475","repositories_listed":0,"syntology":null},{"url":null,"slug":"refind-retrieval-augmented-factuality","title":"REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models","date":"2025-02-19","arxiv_id":"2502.13622","repositories_listed":0,"syntology":null},{"url":null,"slug":"reflection-of-episodes-learning-to-play-game","title":"Reflection of Episodes: Learning to Play Game from Expert and Self Experiences","date":"2025-02-19","arxiv_id":"2502.13388","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieving-versus-understanding-extractive","title":"Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning","date":"2025-02-19","arxiv_id":"2502.14095","repositories_listed":0,"syntology":null},{"url":null,"slug":"rgar-recurrence-generation-augmented","title":"RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering","date":"2025-02-19","arxiv_id":"2502.13361","repositories_listed":0,"syntology":null},{"url":null,"slug":"talkplay-multimodal-music-recommendation-with","title":"TALKPLAY: Multimodal Music Recommendation with Large Language Models","date":"2025-02-19","arxiv_id":"2502.13713","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-based-generic-potential-function-for","title":"Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning","date":"2025-02-19","arxiv_id":"2502.13430","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-are-models-thinking-about-understanding","title":"What are Models Thinking about? Understanding Large Language Model Hallucinations \"Psychology\" through Model Inner State Analysis","date":"2025-02-19","arxiv_id":"2502.13490","repositories_listed":0,"syntology":null},{"url":null,"slug":"advanced-digital-simulation-for-financial","title":"Advanced simulation paradigm of human behaviour unveils complex financial systemic projection","date":"2025-02-18","arxiv_id":"2503.20787","repositories_listed":0,"syntology":null},{"url":null,"slug":"baklava-budgeted-allocation-of-kv-cache-for","title":"BaKlaVa -- Budgeted Allocation of KV cache for Long-context Inference","date":"2025-02-18","arxiv_id":"2502.13176","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-automatic-speech-recognition","title":"Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics","date":"2025-02-18","arxiv_id":"2502.13982","repositories_listed":0,"syntology":null},{"url":null,"slug":"gesture-aware-zero-shot-speech-recognition","title":"Gesture-Aware Zero-Shot Speech Recognition for Patients with Language Disorders","date":"2025-02-18","arxiv_id":"2502.13983","repositories_listed":0,"syntology":null},{"url":null,"slug":"mcts-judge-test-time-scaling-in-llm-as-a","title":"MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation","date":"2025-02-18","arxiv_id":"2502.12468","repositories_listed":0,"syntology":null},{"url":null,"slug":"occult-evaluating-large-language-models-for","title":"OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities","date":"2025-02-18","arxiv_id":"2502.15797","repositories_listed":0,"syntology":null},{"url":null,"slug":"private-text-generation-by-seeding-large","title":"Private Text Generation by Seeding Large Language Model Prompts","date":"2025-02-18","arxiv_id":"2502.13193","repositories_listed":0,"syntology":null},{"url":null,"slug":"reasoning-and-the-trusting-behavior-of","title":"Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models","date":"2025-02-18","arxiv_id":"2502.12825","repositories_listed":0,"syntology":null},{"url":null,"slug":"should-i-trust-you-detecting-deception-in","title":"Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL","date":"2025-02-18","arxiv_id":"2502.12436","repositories_listed":0,"syntology":null},{"url":null,"slug":"steer-me-assessing-the-microeconomic","title":"STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models","date":"2025-02-18","arxiv_id":"2502.13119","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-design-guideline-for-rpa-evaluation","title":"Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents","date":"2025-02-18","arxiv_id":"2502.13012","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-an-automated-workflow-in-materials","title":"Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models","date":"2025-02-18","arxiv_id":"2502.14904","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-more-contextual-agents-an-extractor","title":"Towards more Contextual Agents: An extractor-Generator Optimization Framework","date":"2025-02-18","arxiv_id":"2502.12926","repositories_listed":0,"syntology":null},{"url":null,"slug":"user-intent-to-use-deekseep-for-healthcare","title":"User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study","date":"2025-02-18","arxiv_id":"2502.17487","repositories_listed":0,"syntology":null},{"url":null,"slug":"you-need-to-mimic-to-get-fame-solving-meeting","title":"You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations","date":"2025-02-18","arxiv_id":"2502.13001","repositories_listed":0,"syntology":null},{"url":null,"slug":"accuracy-assessment-of-openalex-and-clarivate","title":"Accuracy Assessment of OpenAlex and Clarivate Scholar ID with an LLM-Assisted Benchmark","date":"2025-02-17","arxiv_id":"2502.11610","repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-moral-uncertainty-using-large","title":"Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making","date":"2025-02-17","arxiv_id":"2503.05724","repositories_listed":0,"syntology":null},{"url":null,"slug":"competing-llm-agents-in-a-non-cooperative","title":"Competing LLM Agents in a Non-Cooperative Game of Opinion Polarisation","date":"2025-02-17","arxiv_id":"2502.11649","repositories_listed":0,"syntology":null},{"url":null,"slug":"confit-v2-improving-resume-job-matching-using","title":"ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining","date":"2025-02-17","arxiv_id":"2502.12361","repositories_listed":0,"syntology":null},{"url":null,"slug":"connecting-large-language-model-agent-to-high","title":"Connecting Large Language Model Agent to High Performance Computing Resource","date":"2025-02-17","arxiv_id":"2502.12280","repositories_listed":0,"syntology":null},{"url":null,"slug":"delman-dynamic-defense-against-large-language","title":"DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing","date":"2025-02-17","arxiv_id":"2502.11647","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphgpt-o-synergistic-multimodal","title":"GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs","date":"2025-02-17","arxiv_id":"2502.11925","repositories_listed":0,"syntology":null},{"url":null,"slug":"intelligent-mobile-ai-generated-content","title":"Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning","date":"2025-02-17","arxiv_id":"2502.11386","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-models-can-help-mitigate","title":"Large Language Models Can Help Mitigate Barren Plateaus","date":"2025-02-17","arxiv_id":"2502.13166","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-reason-at-the-frontier-of","title":"Learning to Reason at the Frontier of Learnability","date":"2025-02-17","arxiv_id":"2502.12272","repositories_listed":0,"syntology":null},{"url":null,"slug":"locally-deployed-chain-of-thought-cot","title":"Locally-Deployed Chain-of-Thought (CoT) Reasoning Model in Chemical Engineering: Starting from 30 Experimental Data","date":"2025-02-17","arxiv_id":"2502.12383","repositories_listed":0,"syntology":null},{"url":null,"slug":"mimicking-the-familiar-dynamic-command","title":"Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System","date":"2025-02-17","arxiv_id":"2502.11358","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmrc-a-large-scale-benchmark-for","title":"MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation","date":"2025-02-17","arxiv_id":"2502.11903","repositories_listed":0,"syntology":null},{"url":null,"slug":"nota-multimodal-music-notation-understanding","title":"NOTA: Multimodal Music Notation Understanding for Visual Large Language Model","date":"2025-02-17","arxiv_id":"2502.14893","repositories_listed":0,"syntology":null},{"url":null,"slug":"personality-structured-interview-for-large","title":"Personality Structured Interview for Large Language Model Simulation in Personality Research","date":"2025-02-17","arxiv_id":"2502.12109","repositories_listed":0,"syntology":null},{"url":null,"slug":"revieweval-an-evaluation-framework-for-ai","title":"ReviewEval: An Evaluation Framework for AI-Generated Reviews","date":"2025-02-17","arxiv_id":"2502.11736","repositories_listed":0,"syntology":null},{"url":null,"slug":"safechain-safety-of-language-models-with-long","title":"SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities","date":"2025-02-17","arxiv_id":"2502.12025","repositories_listed":0,"syntology":null},{"url":null,"slug":"smartllm-smart-contract-auditing-using-custom","title":"SmartLLM: Smart Contract Auditing using Custom Generative AI","date":"2025-02-17","arxiv_id":"2502.13167","repositories_listed":0,"syntology":null},{"url":null,"slug":"timecap-learning-to-contextualize-augment-and","title":"TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents","date":"2025-02-17","arxiv_id":"2502.11418","repositories_listed":0,"syntology":null},{"url":null,"slug":"unveiling-privacy-risks-in-llm-agent-memory","title":"Unveiling Privacy Risks in LLM Agent Memory","date":"2025-02-17","arxiv_id":"2502.13172","repositories_listed":0,"syntology":null},{"url":null,"slug":"adagc-improving-training-stability-for-large","title":"AdaGC: Improving Training Stability for Large Language Model Pretraining","date":"2025-02-16","arxiv_id":"2502.11034","repositories_listed":0,"syntology":null},{"url":null,"slug":"g-safeguard-a-topology-guided-security-lens","title":"G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems","date":"2025-02-16","arxiv_id":"2502.11127","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-conditional-mutual-information-to","title":"Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification","date":"2025-02-16","arxiv_id":"2502.11258","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-multimodal-llms-assisted-by","title":"Leveraging Multimodal-LLMs Assisted by Instance Segmentation for Intelligent Traffic Monitoring","date":"2025-02-16","arxiv_id":"2502.11304","repositories_listed":0,"syntology":null},{"url":null,"slug":"logidynamics-unraveling-the-dynamics-of","title":"LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning","date":"2025-02-16","arxiv_id":"2502.11176","repositories_listed":0,"syntology":null},{"url":null,"slug":"developing-conversational-speech-systems-for","title":"Developing Conversational Speech Systems for Robots to Detect Speech Biomarkers of Cognition in People Living with Dementia","date":"2025-02-15","arxiv_id":"2502.10896","repositories_listed":0,"syntology":null},{"url":null,"slug":"distraction-is-all-you-need-for-multimodal","title":"Distraction is All You Need for Multimodal Large Language Model Jailbreaking","date":"2025-02-15","arxiv_id":"2502.10794","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchically-structured-open-vocabulary","title":"Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model","date":"2025-02-15","arxiv_id":"2502.10675","repositories_listed":0,"syntology":null},{"url":null,"slug":"lore-merging-exploring-low-rank-estimation","title":"LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging","date":"2025-02-15","arxiv_id":"2502.10749","repositories_listed":0,"syntology":null},{"url":null,"slug":"order-agnostic-identifier-for-large-language","title":"Order-agnostic Identifier for Large Language Model-based Generative Recommendation","date":"2025-02-15","arxiv_id":"2502.10833","repositories_listed":0,"syntology":null},{"url":null,"slug":"pcgrllm-large-language-model-driven-reward","title":"PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning","date":"2025-02-15","arxiv_id":"2502.10906","repositories_listed":0,"syntology":null}],"record_sha256":"56edb61018a3a12a8d15056ca1b9a5e6227b9bf6bbeb9fc7c17a3b3db7275780","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}