{"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/26","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":26,"pages_in_order":61,"rows_per_page":100,"rows":[2501,2600],"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/25","next":"/task/large-language-model/papers/27","papers":[{"url":null,"slug":"ensemw2s-enhancing-weak-to-strong","title":"EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles","date":"2025-05-28","arxiv_id":"2505.21959","repositories_listed":0,"syntology":null},{"url":null,"slug":"ich-qwen-a-large-language-model-towards","title":"ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage","date":"2025-05-28","arxiv_id":"2505.23831","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-llms-for-large-scale-urban","title":"Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation","date":"2025-05-28","arxiv_id":"2505.21880","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-oddr-a-large-language-model-framework-for","title":"LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning","date":"2025-05-28","arxiv_id":"2505.22695","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-and-optimizing-user-preferences-in","title":"Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy","date":"2025-05-28","arxiv_id":"2505.21907","repositories_listed":0,"syntology":null},{"url":null,"slug":"operationalizing-camel-strengthening-llm","title":"Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment","date":"2025-05-28","arxiv_id":"2505.22852","repositories_listed":0,"syntology":null},{"url":null,"slug":"pangu-embedded-an-efficient-dual-system-llm","title":"Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition","date":"2025-05-28","arxiv_id":"2505.22375","repositories_listed":0,"syntology":null},{"url":null,"slug":"position-uncertainty-quantification-needs","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","date":"2025-05-28","arxiv_id":"2505.22655","repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-as-a-multimodal-digital-phenotype-for","title":"Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction","date":"2025-05-28","arxiv_id":"2505.23822","repositories_listed":0,"syntology":null},{"url":null,"slug":"topological-structure-learning-should-be-a","title":"Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems","date":"2025-05-28","arxiv_id":"2505.22467","repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-visuo-tactile-video-understanding","title":"Universal Visuo-Tactile Video Understanding for Embodied Interaction","date":"2025-05-28","arxiv_id":"2505.22566","repositories_listed":0,"syntology":null},{"url":null,"slug":"chemhas-hierarchical-agent-stacking-for","title":"ChemHAS: Hierarchical Agent Stacking for Enhancing Chemistry Tools","date":"2025-05-27","arxiv_id":"2505.21569","repositories_listed":0,"syntology":null},{"url":null,"slug":"code-researcher-deep-research-agent-for-large","title":"Code Researcher: Deep Research Agent for Large Systems Code and Commit History","date":"2025-05-27","arxiv_id":"2506.11060","repositories_listed":0,"syntology":null},{"url":null,"slug":"complex-system-diagnostics-using-a-knowledge","title":"Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework","date":"2025-05-27","arxiv_id":"2505.21291","repositories_listed":0,"syntology":null},{"url":null,"slug":"creativity-in-llm-based-multi-agent-systems-a","title":"Creativity in LLM-based Multi-Agent Systems: A Survey","date":"2025-05-27","arxiv_id":"2505.21116","repositories_listed":0,"syntology":null},{"url":null,"slug":"omniresponse-online-multimodal-conversational","title":"OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions","date":"2025-05-27","arxiv_id":"2505.21724","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-information-synthesis-in","title":"Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective","date":"2025-05-27","arxiv_id":"2505.20816","repositories_listed":0,"syntology":null},{"url":null,"slug":"streamlink-large-language-model-driven","title":"StreamLink: Large-Language-Model Driven Distributed Data Engineering System","date":"2025-05-27","arxiv_id":"2505.21575","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-multilingual-divide-and-its-impact-on","title":"The Multilingual Divide and Its Impact on Global AI Safety","date":"2025-05-27","arxiv_id":"2505.21344","repositories_listed":0,"syntology":null},{"url":null,"slug":"think-before-you-diffuse-llms-guided-physics","title":"Think Before You Diffuse: LLMs-Guided Physics-Aware Video Generation","date":"2025-05-27","arxiv_id":"2505.21653","repositories_listed":0,"syntology":null},{"url":null,"slug":"alignment-of-large-language-models-with","title":"Alignment of large language models with constrained learning","date":"2025-05-26","arxiv_id":"2505.19387","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-self-improvement-of-large-language","title":"Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample Selection","date":"2025-05-26","arxiv_id":"2505.19475","repositories_listed":0,"syntology":null},{"url":null,"slug":"editing-as-unlearning-are-knowledge-editing","title":"Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?","date":"2025-05-26","arxiv_id":"2505.19855","repositories_listed":0,"syntology":null},{"url":null,"slug":"eslm-risk-averse-selective-language-modeling","title":"ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining","date":"2025-05-26","arxiv_id":"2505.19893","repositories_listed":0,"syntology":null},{"url":null,"slug":"guard-me-if-you-know-me-protecting-specific","title":"Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes","date":"2025-05-26","arxiv_id":"2505.19582","repositories_listed":0,"syntology":null},{"url":null,"slug":"hamburger-accelerating-llm-inference-via","title":"HAMburger: Accelerating LLM Inference via Token Smashing","date":"2025-05-26","arxiv_id":"2505.20438","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-tree-search-based-user-lifelong","title":"Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model","date":"2025-05-26","arxiv_id":"2505.19505","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-select-in-context-demonstration","title":"Learning to Select In-Context Demonstration Preferred by Large Language Model","date":"2025-05-26","arxiv_id":"2505.19966","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-agent-controller-a-universal-multi-agent","title":"LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer","date":"2025-05-26","arxiv_id":"2505.19567","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-web-dynamics-tracing-model-collapse-in-a","title":"LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs","date":"2025-05-26","arxiv_id":"2506.15690","repositories_listed":0,"syntology":null},{"url":null,"slug":"mllm-guided-vlm-fine-tuning-with-joint","title":"MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval","date":"2025-05-26","arxiv_id":"2505.19707","repositories_listed":0,"syntology":null},{"url":null,"slug":"msd-llm-predicting-ship-detention-in-port","title":"MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model","date":"2025-05-26","arxiv_id":"2505.19568","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-same-page-dimensions-of-perceived","title":"On the Same Page: Dimensions of Perceived Shared Understanding in Human-AI Interaction","date":"2025-05-26","arxiv_id":"2505.20068","repositories_listed":0,"syntology":null},{"url":null,"slug":"ressvd-residual-compensated-svd-for-large","title":"ResSVD: Residual Compensated SVD for Large Language Model Compression","date":"2025-05-26","arxiv_id":"2505.20112","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-reflective-uncertainties-do-llms-know","title":"Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?","date":"2025-05-26","arxiv_id":"2505.20295","repositories_listed":0,"syntology":null},{"url":null,"slug":"tdve-assessor-benchmarking-and-evaluating-the","title":"TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs","date":"2025-05-26","arxiv_id":"2505.19535","repositories_listed":0,"syntology":null},{"url":null,"slug":"vlmlight-traffic-signal-control-via-vision","title":"VLMLight: Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning","date":"2025-05-26","arxiv_id":"2505.19486","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-changed-detecting-and-evaluating","title":"What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models","date":"2025-05-26","arxiv_id":"2505.20405","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-steering-techniques-using-human","title":"Evaluating Steering Techniques using Human Similarity Judgments","date":"2025-05-25","arxiv_id":"2505.19333","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-text-creativity-across-diverse","title":"Evaluating Text Creativity across Diverse Domains: A Dataset and Large Language Model Evaluator","date":"2025-05-25","arxiv_id":"2505.19236","repositories_listed":0,"syntology":null},{"url":null,"slug":"fillm-a-filipino-optimized-large-language","title":"FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)","date":"2025-05-25","arxiv_id":"2505.18995","repositories_listed":0,"syntology":null},{"url":null,"slug":"ghostprompt-jailbreaking-text-to-image","title":"GhostPrompt: Jailbreaking Text-to-image Generative Models based on Dynamic Optimization","date":"2025-05-25","arxiv_id":"2505.18979","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-dynamical-systems-learning-with","title":"Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials","date":"2025-05-25","arxiv_id":"2506.14782","repositories_listed":0,"syntology":null},{"url":null,"slug":"lllms-a-data-driven-survey-of-evolving","title":"LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models","date":"2025-05-25","arxiv_id":"2505.19240","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-aware-learning-in-text-to-sql-large","title":"Meta-aware Learning in text-to-SQL Large Language Model","date":"2025-05-25","arxiv_id":"2505.18929","repositories_listed":0,"syntology":null},{"url":null,"slug":"openhoi-open-world-hand-object-interaction","title":"OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model","date":"2025-05-25","arxiv_id":"2505.18947","repositories_listed":0,"syntology":null},{"url":null,"slug":"react-representation-extraction-and","title":"REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing","date":"2025-05-25","arxiv_id":"2505.18933","repositories_listed":0,"syntology":null},{"url":null,"slug":"cladmop-learning-transferrable-models-from","title":"CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs","date":"2025-05-24","arxiv_id":"2505.18527","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangling-knowledge-representations-for","title":"Disentangling Knowledge Representations for Large Language Model Editing","date":"2025-05-24","arxiv_id":"2505.18774","repositories_listed":0,"syntology":null},{"url":null,"slug":"evdclip-improving-vision-language-retrieval","title":"EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models","date":"2025-05-24","arxiv_id":"2505.18594","repositories_listed":0,"syntology":null},{"url":null,"slug":"invisible-tokens-visible-bills-the-urgent","title":"Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services","date":"2025-05-24","arxiv_id":"2505.18471","repositories_listed":0,"syntology":null},{"url":null,"slug":"regen-multimodal-retrieval-embedded","title":"REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing","date":"2025-05-24","arxiv_id":"2505.18880","repositories_listed":0,"syntology":null},{"url":null,"slug":"skip-thinking-chunk-wise-chain-of-thought","title":"Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster","date":"2025-05-24","arxiv_id":"2505.18642","repositories_listed":0,"syntology":null},{"url":null,"slug":"spore-in-the-wild-case-study-on-spore-fun-a","title":"Spore in the Wild: Case Study on Spore.fun, a Real-World Experiment of Sovereign Agent Open-ended Evolution on Blockchain with TEEs","date":"2025-05-24","arxiv_id":"2506.04236","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthesizing-and-adapting-error-correction","title":"Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications","date":"2025-05-24","arxiv_id":"2505.18488","repositories_listed":0,"syntology":null},{"url":null,"slug":"tng-clip-training-time-negation-data","title":"TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP","date":"2025-05-24","arxiv_id":"2505.18434","repositories_listed":0,"syntology":null},{"url":null,"slug":"todre-visual-token-pruning-via-diversity-and","title":"ToDRE: Visual Token Pruning via Diversity and Task Awareness for Efficient Large Vision-Language Models","date":"2025-05-24","arxiv_id":"2505.18757","repositories_listed":0,"syntology":null},{"url":null,"slug":"guided-by-gut-efficient-test-time-scaling","title":"Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence","date":"2025-05-23","arxiv_id":"2505.20325","repositories_listed":0,"syntology":null},{"url":null,"slug":"holollm-multisensory-foundation-model-for","title":"HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning","date":"2025-05-23","arxiv_id":"2505.17645","repositories_listed":0,"syntology":null},{"url":"/paper/how-can-i-publish-my-llm-benchmark-without","slug":"how-can-i-publish-my-llm-benchmark-without","title":"How Can I Publish My LLM Benchmark Without Giving the True Answers Away?","date":"2025-05-23","arxiv_id":"2505.18102","repositories_listed":0,"syntology":{"n":11,"n_ran":11,"n_constructed":0,"n_ran_checked":9,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"11 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; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/how-can-i-publish-my-llm-benchmark-without#ran","syntology_url":"https://syntology.ai/paper/2505.18102","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.18102"}},"official":null}},{"url":null,"slug":"large-language-model-as-user-daily-behavior","title":"Large language model as user daily behavior data generator: balancing population diversity and individual personality","date":"2025-05-23","arxiv_id":"2505.17615","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-agent-systems-for-misinformation","title":"Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification","date":"2025-05-23","arxiv_id":"2505.17511","repositories_listed":0,"syntology":null},{"url":null,"slug":"nsnquant-a-double-normalization-approach-for","title":"NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache","date":"2025-05-23","arxiv_id":"2505.18231","repositories_listed":0,"syntology":null},{"url":null,"slug":"progrm-build-better-gui-agents-with-progress","title":"ProgRM: Build Better GUI Agents with Progress Rewards","date":"2025-05-23","arxiv_id":"2505.18121","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-augmented-generation-based-large","title":"Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps","date":"2025-05-23","arxiv_id":"2505.18426","repositories_listed":0,"syntology":null},{"url":null,"slug":"simulating-macroeconomic-expectations-using","title":"Simulating Macroeconomic Expectations using LLM Agents","date":"2025-05-23","arxiv_id":"2505.17648","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-agent-or-multi-agent-systems-why-not","title":"Single-agent or Multi-agent Systems? Why Not Both?","date":"2025-05-23","arxiv_id":"2505.18286","repositories_listed":0,"syntology":null},{"url":null,"slug":"taming-llms-with-negative-samples-a-reference","title":"Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedback","date":"2025-05-23","arxiv_id":"2505.18240","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-real-barrier-to-llm-agent-usability-is","title":"The Real Barrier to LLM Agent Usability is Agentic ROI","date":"2025-05-23","arxiv_id":"2505.17767","repositories_listed":0,"syntology":null},{"url":null,"slug":"action2dialogue-generating-character-centric","title":"Action2Dialogue: Generating Character-Centric Narratives from Scene-Level Prompts","date":"2025-05-22","arxiv_id":"2505.16819","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-correlation-towards-causal-large","title":"Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine","date":"2025-05-22","arxiv_id":"2505.16982","repositories_listed":0,"syntology":null},{"url":null,"slug":"code-graph-model-cgm-a-graph-integrated-large","title":"Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks","date":"2025-05-22","arxiv_id":"2505.16901","repositories_listed":0,"syntology":null},{"url":null,"slug":"continually-self-improving-language-models","title":"Continually Self-Improving Language Models for Bariatric Surgery Question--Answering","date":"2025-05-22","arxiv_id":"2505.16102","repositories_listed":0,"syntology":null},{"url":null,"slug":"ctrap-embedding-collapse-trap-to-safeguard","title":"CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning","date":"2025-05-22","arxiv_id":"2505.16559","repositories_listed":0,"syntology":null},{"url":null,"slug":"deeprec-towards-a-deep-dive-into-the-item","title":"DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation","date":"2025-05-22","arxiv_id":"2505.16810","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-large-language-model-with","title":"Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering","date":"2025-05-22","arxiv_id":"2505.16591","repositories_listed":0,"syntology":null},{"url":null,"slug":"generator-mediated-bandits-thompson-sampling","title":"Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions","date":"2025-05-22","arxiv_id":"2505.16311","repositories_listed":0,"syntology":null},{"url":null,"slug":"incentivizing-dual-process-thinking-for","title":"Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning","date":"2025-05-22","arxiv_id":"2505.16315","repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-sequence-classification-with","title":"Incremental Sequence Classification with Temporal Consistency","date":"2025-05-22","arxiv_id":"2505.16548","repositories_listed":0,"syntology":null},{"url":null,"slug":"inferencedynamics-efficient-routing-across","title":"INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling","date":"2025-05-22","arxiv_id":"2505.16303","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-empowered-interactive","title":"Large Language Model-Empowered Interactive Load Forecasting","date":"2025-05-22","arxiv_id":"2505.16577","repositories_listed":0,"syntology":null},{"url":null,"slug":"llada-v-large-language-diffusion-models-with","title":"LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning","date":"2025-05-22","arxiv_id":"2505.16933","repositories_listed":0,"syntology":null},{"url":null,"slug":"plan-and-budget-effective-and-efficient-test","title":"Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning","date":"2025-05-22","arxiv_id":"2505.16122","repositories_listed":0,"syntology":null},{"url":null,"slug":"pmpo-probabilistic-metric-prompt-optimization","title":"PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models","date":"2025-05-22","arxiv_id":"2505.16307","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-and-interpretable-contextual-bandits","title":"Scalable and Interpretable Contextual Bandits: A Literature Review and Retail Offer Prototype","date":"2025-05-22","arxiv_id":"2505.16918","repositories_listed":0,"syntology":null},{"url":null,"slug":"sd-mad-sign-driven-few-shot-multi-anomaly","title":"SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images","date":"2025-05-22","arxiv_id":"2505.16659","repositories_listed":0,"syntology":null},{"url":null,"slug":"aligning-dialogue-agents-with-global-feedback","title":"Aligning Dialogue Agents with Global Feedback via Large Language Model Reward Decomposition","date":"2025-05-21","arxiv_id":"2505.15922","repositories_listed":0,"syntology":null},{"url":null,"slug":"any-large-language-model-can-be-a-reliable","title":"Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector","date":"2025-05-21","arxiv_id":"2505.17100","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-empathy-integrating-diagnostic-and","title":"Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling","date":"2025-05-21","arxiv_id":"2505.15715","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-sign-and-spoken-languages-pseudo","title":"Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation","date":"2025-05-21","arxiv_id":"2505.15438","repositories_listed":0,"syntology":null},{"url":null,"slug":"cp-llm-context-and-pixel-aware-large-language","title":"CP-LLM: Context and Pixel Aware Large Language Model for Video Quality Assessment","date":"2025-05-21","arxiv_id":"2505.16025","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-vs-autoregressive-language-models-a","title":"Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective","date":"2025-05-21","arxiv_id":"2505.15045","repositories_listed":0,"syntology":null},{"url":null,"slug":"forging-time-series-with-language-a-large","title":"Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation","date":"2025-05-21","arxiv_id":"2505.17103","repositories_listed":0,"syntology":null},{"url":"/paper/highlighting-what-matters-promptable","slug":"highlighting-what-matters-promptable","title":"Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval","date":"2025-05-21","arxiv_id":"2505.15877","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-centered-interactive-learning-via-mllms-1","title":"Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification","date":"2025-05-21","arxiv_id":"2506.11036","repositories_listed":0,"syntology":null},{"url":null,"slug":"listen-to-the-context-towards-faithful-large","title":"Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions","date":"2025-05-21","arxiv_id":"2505.15633","repositories_listed":0,"syntology":null},{"url":null,"slug":"miku-pal-an-automated-and-standardized-multi","title":"MIKU-PAL: An Automated and Standardized Multi-Modal Method for Speech Paralinguistic and Affect Labeling","date":"2025-05-21","arxiv_id":"2505.15772","repositories_listed":0,"syntology":null},{"url":null,"slug":"next-eval-next-evaluation-of-traditional-and","title":"NEXT-EVAL: Next Evaluation of Traditional and LLM Web Data Record Extraction","date":"2025-05-21","arxiv_id":"2505.17125","repositories_listed":0,"syntology":null},{"url":null,"slug":"reward-is-enough-llms-are-in-context","title":"Reward Is Enough: LLMs Are In-Context Reinforcement Learners","date":"2025-05-21","arxiv_id":"2506.06303","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-give-associative-thinking-from-limited","title":"Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning","date":"2025-05-21","arxiv_id":"2505.15062","repositories_listed":0,"syntology":null}],"record_sha256":"09180fffdeb184f66e81c82e6f575d80f517285ab18bf9b81fa664201b436be8","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}