{"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/37","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":37,"pages_in_order":61,"rows_per_page":100,"rows":[3601,3700],"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/36","next":"/task/large-language-model/papers/38","papers":[{"url":null,"slug":"hpc-coder-v2-studying-code-llms-across-low","title":"HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages","date":"2024-12-19","arxiv_id":"2412.15178","repositories_listed":0,"syntology":null},{"url":null,"slug":"movie2story-a-framework-for-understanding","title":"Movie2Story: A framework for understanding videos and telling stories in the form of novel text","date":"2024-12-19","arxiv_id":"2412.14965","repositories_listed":0,"syntology":null},{"url":null,"slug":"moving-beyond-lda-a-comparison-of","title":"Moving Beyond LDA: A Comparison of Unsupervised Topic Modelling Techniques for Qualitative Data Analysis of Online Communities","date":"2024-12-19","arxiv_id":"2412.14486","repositories_listed":0,"syntology":null},{"url":null,"slug":"cad-assistant-tool-augmented-vllms-as-generic","title":"CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers","date":"2024-12-18","arxiv_id":"2412.13810","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-enhancing-root-cause-analysis-with-sql","title":"On Enhancing Root Cause Analysis with SQL Summaries for Failures in Database Workload Replays at SAP HANA","date":"2024-12-18","arxiv_id":"2412.13679","repositories_listed":0,"syntology":null},{"url":null,"slug":"text2relight-creative-portrait-relighting","title":"Text2Relight: Creative Portrait Relighting with Text Guidance","date":"2024-12-18","arxiv_id":"2412.13734","repositories_listed":0,"syntology":null},{"url":null,"slug":"focuschat-text-guided-long-video","title":"FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering","date":"2024-12-17","arxiv_id":"2412.12833","repositories_listed":0,"syntology":null},{"url":null,"slug":"fooling-llm-graders-into-giving-better-grades","title":"Fooling LLM graders into giving better grades through neural activity guided adversarial prompting","date":"2024-12-17","arxiv_id":"2412.15275","repositories_listed":0,"syntology":null},{"url":null,"slug":"gender-bias-and-property-taxes","title":"Gender Bias and Property Taxes","date":"2024-12-17","arxiv_id":"2412.12610","repositories_listed":0,"syntology":null},{"url":null,"slug":"iprop-interactive-prompt-optimization-for","title":"iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop","date":"2024-12-17","arxiv_id":"2412.12644","repositories_listed":0,"syntology":null},{"url":null,"slug":"make-imagination-clearer-stable-diffusion","title":"Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation","date":"2024-12-17","arxiv_id":"2412.12627","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-aware-hybrid-inference-with-on","title":"Uncertainty-Aware Hybrid Inference with On-Device Small and Remote Large Language Models","date":"2024-12-17","arxiv_id":"2412.12687","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-mathematical-reasoning-in-the-era","title":"A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges","date":"2024-12-16","arxiv_id":"2412.11936","repositories_listed":0,"syntology":null},{"url":null,"slug":"cpath-omni-a-unified-multimodal-foundation","title":"CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology","date":"2024-12-16","arxiv_id":"2412.12077","repositories_listed":0,"syntology":null},{"url":null,"slug":"openreviewer-a-specialized-large-language","title":"OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews","date":"2024-12-16","arxiv_id":"2412.11948","repositories_listed":0,"syntology":null},{"url":null,"slug":"private-yet-social-how-llm-chatbots-support","title":"Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery","date":"2024-12-16","arxiv_id":"2412.11656","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-speech-foundation-model-for","title":"MERaLiON-SpeechEncoder: Towards a Speech Foundation Model for Singapore and Beyond","date":"2024-12-16","arxiv_id":"2412.11538","repositories_listed":0,"syntology":null},{"url":null,"slug":"ultra-high-definition-dynamic-multi-exposure","title":"Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning","date":"2024-12-16","arxiv_id":"2412.11685","repositories_listed":0,"syntology":null},{"url":null,"slug":"whisper-gpt-a-hybrid-representation-audio","title":"Whisper-GPT: A Hybrid Representation Audio Large Language Model","date":"2024-12-16","arxiv_id":"2412.11449","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-large-language-model-based-knowledge","title":"Active Large Language Model-based Knowledge Distillation for Session-based Recommendation","date":"2024-12-15","arxiv_id":"2502.15685","repositories_listed":0,"syntology":null},{"url":"/paper/cultural-palette-pluralising-culture","slug":"cultural-palette-pluralising-culture","title":"Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette","date":"2024-12-15","arxiv_id":"2412.11167","repositories_listed":0,"syntology":null},{"url":null,"slug":"embracing-large-language-models-in-traffic","title":"Embracing Large Language Models in Traffic Flow Forecasting","date":"2024-12-15","arxiv_id":"2412.12201","repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-a-wolf-in-sheep-s-clothing-combating","title":"Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization","date":"2024-12-15","arxiv_id":"2412.12212","repositories_listed":0,"syntology":null},{"url":null,"slug":"law-legal-agentic-workflows-for-custody-and","title":"LAW: Legal Agentic Workflows for Custody and Fund Services Contracts","date":"2024-12-15","arxiv_id":"2412.11063","repositories_listed":0,"syntology":null},{"url":null,"slug":"inference-scaling-for-bridging-retrieval-and","title":"Inference Scaling for Bridging Retrieval and Augmented Generation","date":"2024-12-14","arxiv_id":"2412.10684","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-models-for-medical-forecasting","title":"Large Language Models for Medical Forecasting -- Foresight 2","date":"2024-12-14","arxiv_id":"2412.10848","repositories_listed":0,"syntology":null},{"url":null,"slug":"superhuman-performance-of-a-large-language","title":"Superhuman performance of a large language model on the reasoning tasks of a physician","date":"2024-12-14","arxiv_id":"2412.10849","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-generative-ai-driven-metadata-modelling","title":"A Generative AI-driven Metadata Modelling Approach","date":"2024-12-13","arxiv_id":"2501.04008","repositories_listed":0,"syntology":null},{"url":null,"slug":"evidence-contextualization-and-counterfactual","title":"Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems","date":"2024-12-13","arxiv_id":"2412.10571","repositories_listed":0,"syntology":null},{"url":null,"slug":"script-based-dialog-policy-planning-for-llm","title":"Script-Based Dialog Policy Planning for LLM-Powered Conversational Agents: A Basic Architecture for an \"AI Therapist\"","date":"2024-12-13","arxiv_id":"2412.15242","repositories_listed":0,"syntology":null},{"url":null,"slug":"small-language-model-as-data-prospector-for","title":"Small Language Model as Data Prospector for Large Language Model","date":"2024-12-13","arxiv_id":"2412.09990","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-if-exploring-branching-narratives-by","title":"WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models","date":"2024-12-13","arxiv_id":"2412.10582","repositories_listed":0,"syntology":null},{"url":null,"slug":"dipper-diversity-in-prompts-for-producing","title":"Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks","date":"2024-12-12","arxiv_id":"2412.15238","repositories_listed":0,"syntology":null},{"url":null,"slug":"easyref-omni-generalized-group-image","title":"EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM","date":"2024-12-12","arxiv_id":"2412.09618","repositories_listed":0,"syntology":null},{"url":null,"slug":"pickllm-context-aware-rl-assisted-large","title":"PickLLM: Context-Aware RL-Assisted Large Language Model Routing","date":"2024-12-12","arxiv_id":"2412.12170","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-wireless-native-big-ai-model-insights","title":"Towards Wireless Native Big AI Model: The Mission and Approach Differ From Large Language Model","date":"2024-12-12","arxiv_id":"2412.09041","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-language-models-represent-darker","title":"Vision-Language Models Represent Darker-Skinned Black Individuals as More Homogeneous than Lighter-Skinned Black Individuals","date":"2024-12-12","arxiv_id":"2412.09668","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-text-embedding-meets-large-language","title":"When Text Embedding Meets Large Language Model: A Comprehensive Survey","date":"2024-12-12","arxiv_id":"2412.09165","repositories_listed":0,"syntology":null},{"url":null,"slug":"advancing-single-and-multi-task-text","title":"Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning","date":"2024-12-11","arxiv_id":"2412.08587","repositories_listed":0,"syntology":null},{"url":null,"slug":"coef-vq-cost-efficient-video-quality","title":"COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework","date":"2024-12-11","arxiv_id":"2412.10435","repositories_listed":0,"syntology":null},{"url":null,"slug":"cognav-cognitive-process-modeling-for-object","title":"CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs","date":"2024-12-11","arxiv_id":"2412.10439","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-vision-training-vision-language","title":"Synthetic Vision: Training Vision-Language Models to Understand Physics","date":"2024-12-11","arxiv_id":"2412.08619","repositories_listed":0,"syntology":null},{"url":null,"slug":"turboattention-efficient-attention","title":"TurboAttention: Efficient Attention Approximation For High Throughputs LLMs","date":"2024-12-11","arxiv_id":"2412.08585","repositories_listed":0,"syntology":null},{"url":null,"slug":"underestimated-privacy-risks-for-minority","title":"Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning","date":"2024-12-11","arxiv_id":"2412.08559","repositories_listed":0,"syntology":null},{"url":null,"slug":"agents-for-self-driving-laboratories-applied","title":"Agents for self-driving laboratories applied to quantum computing","date":"2024-12-10","arxiv_id":"2412.07978","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-item-generation-for-personality","title":"Automatic Item Generation for Personality Situational Judgment Tests with Large Language Models","date":"2024-12-10","arxiv_id":"2412.12144","repositories_listed":0,"syntology":null},{"url":null,"slug":"autoprep-natural-language-question-aware-data","title":"AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework","date":"2024-12-10","arxiv_id":"2412.10422","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffsensei-bridging-multi-modal-llms-and","title":"DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation","date":"2024-12-10","arxiv_id":"2412.07589","repositories_listed":0,"syntology":null},{"url":null,"slug":"filling-memory-gaps-enhancing-continual","title":"Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs without Real Data Replay","date":"2024-12-10","arxiv_id":"2412.07246","repositories_listed":0,"syntology":null},{"url":null,"slug":"hyperband-based-bayesian-optimization-for","title":"Hyperband-based Bayesian Optimization for Black-box Prompt Selection","date":"2024-12-10","arxiv_id":"2412.07820","repositories_listed":0,"syntology":null},{"url":null,"slug":"maple-a-framework-for-active-preference","title":"MAPLE: A Framework for Active Preference Learning Guided by Large Language Models","date":"2024-12-10","arxiv_id":"2412.07207","repositories_listed":0,"syntology":null},{"url":null,"slug":"my-words-imply-your-opinion-reader-agent","title":"My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis","date":"2024-12-10","arxiv_id":"2412.07367","repositories_listed":0,"syntology":null},{"url":null,"slug":"research-on-the-application-of-spark","title":"Research on the Application of Spark Streaming Real-Time Data Analysis System and large language model Intelligent Agents","date":"2024-12-10","arxiv_id":"2501.14734","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-rise-and-down-of-babel-tower","title":"The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model","date":"2024-12-10","arxiv_id":"2412.07298","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-critical-testing-scenarios-for","title":"Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach","date":"2024-12-09","arxiv_id":"2412.06684","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-adversarial-reviews-when-llms","title":"Generative Adversarial Reviews: When LLMs Become the Critic","date":"2024-12-09","arxiv_id":"2412.10415","repositories_listed":0,"syntology":null},{"url":"/paper/illume-illuminating-your-llms-to-see-draw-and","slug":"illume-illuminating-your-llms-to-see-draw-and","title":"ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance","date":"2024-12-09","arxiv_id":"2412.06673","repositories_listed":0,"syntology":null},{"url":null,"slug":"links-large-language-model-integrated","title":"LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs","date":"2024-12-09","arxiv_id":"2412.19811","repositories_listed":0,"syntology":null},{"url":null,"slug":"mavias-mitigate-any-visual-bias","title":"MAVias: Mitigate any Visual Bias","date":"2024-12-09","arxiv_id":"2412.06632","repositories_listed":0,"syntology":null},{"url":null,"slug":"mosh-modeling-multi-objective-tradeoffs-with","title":"MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds","date":"2024-12-09","arxiv_id":"2412.06154","repositories_listed":0,"syntology":null},{"url":null,"slug":"omnievalkit-a-modular-lightweight-toolbox-for","title":"OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions","date":"2024-12-09","arxiv_id":"2412.06693","repositories_listed":0,"syntology":null},{"url":null,"slug":"simulating-human-like-daily-activities-with","title":"Simulating Human-like Daily Activities with Desire-driven Autonomy","date":"2024-12-09","arxiv_id":"2412.06435","repositories_listed":0,"syntology":null},{"url":null,"slug":"unseen-attack-detection-in-software-defined","title":"Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model","date":"2024-12-09","arxiv_id":"2412.06239","repositories_listed":0,"syntology":null},{"url":null,"slug":"cooperative-sql-generation-for-segmented","title":"Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents","date":"2024-12-08","arxiv_id":"2412.05850","repositories_listed":0,"syntology":null},{"url":null,"slug":"gl-fusion-rethinking-the-combination-of-graph","title":"GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model","date":"2024-12-08","arxiv_id":"2412.06849","repositories_listed":0,"syntology":null},{"url":null,"slug":"trust-no-ai-prompt-injection-along-the-cia","title":"Trust No AI: Prompt Injection Along The CIA Security Triad","date":"2024-12-08","arxiv_id":"2412.06090","repositories_listed":0,"syntology":null},{"url":null,"slug":"xkv-personalized-kv-cache-memory-reduction","title":"XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference","date":"2024-12-08","arxiv_id":"2412.05896","repositories_listed":0,"syntology":null},{"url":null,"slug":"ranking-of-large-language-model-with","title":"Confidence Diagram of Nonparametric Ranking for Uncertainty Assessment in Large Language Models Evaluation","date":"2024-12-07","arxiv_id":"2412.05506","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-to-3d-gaussian-splatting-with-physics","title":"Text-to-3D Gaussian Splatting with Physics-Grounded Motion Generation","date":"2024-12-07","arxiv_id":"2412.05560","repositories_listed":0,"syntology":null},{"url":null,"slug":"ulmrec-user-centric-large-language-model-for","title":"ULMRec: User-centric Large Language Model for Sequential Recommendation","date":"2024-12-07","arxiv_id":"2412.05543","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-large-language-model-based","title":"A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges","date":"2024-12-06","arxiv_id":"2412.05208","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-llms-for-impression-generation-in","title":"Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System","date":"2024-12-06","arxiv_id":"2412.06828","repositories_listed":0,"syntology":null},{"url":null,"slug":"flash-communication-reducing-tensor","title":"Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference","date":"2024-12-06","arxiv_id":"2412.04964","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-voice-to-value-leveraging-ai-to-enhance","title":"From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go","date":"2024-12-06","arxiv_id":"2412.05445","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-align-utilizing-large-language-models-for","title":"LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs","date":"2024-12-06","arxiv_id":"2412.04690","repositories_listed":0,"syntology":null},{"url":null,"slug":"queen-a-large-language-model-for-quechua","title":"QueEn: A Large Language Model for Quechua-English Translation","date":"2024-12-06","arxiv_id":"2412.05184","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-context-aware-framework-for-translation","title":"A Context-aware Framework for Translation-mediated Conversations","date":"2024-12-05","arxiv_id":"2412.04205","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-large-language-model-type-architecture-for","title":"A large language model-type architecture for high-dimensional molecular potential energy surfaces","date":"2024-12-05","arxiv_id":"2412.03831","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-large-language-model-based-social","title":"A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios","date":"2024-12-05","arxiv_id":"2412.03920","repositories_listed":0,"syntology":null},{"url":null,"slug":"alma-alignment-with-minimal-annotation","title":"ALMA: Alignment with Minimal Annotation","date":"2024-12-05","arxiv_id":"2412.04305","repositories_listed":0,"syntology":null},{"url":null,"slug":"editscout-locating-forged-regions-from","title":"EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM","date":"2024-12-05","arxiv_id":"2412.03809","repositories_listed":0,"syntology":null},{"url":null,"slug":"egoplan-bench2-a-benchmark-for-multimodal","title":"EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios","date":"2024-12-05","arxiv_id":"2412.04447","repositories_listed":0,"syntology":null},{"url":null,"slug":"lossagent-towards-any-optimization-objectives","title":"LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents","date":"2024-12-05","arxiv_id":"2412.04090","repositories_listed":0,"syntology":null},{"url":null,"slug":"potable-programming-standardly-on-table-based","title":"PoTable: Towards Systematic Thinking via Stage-oriented Plan-then-Execute Reasoning on Tables","date":"2024-12-05","arxiv_id":"2412.04272","repositories_listed":0,"syntology":null},{"url":null,"slug":"scenediffuser-efficient-and-controllable","title":"SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout","date":"2024-12-05","arxiv_id":"2412.12129","repositories_listed":0,"syntology":null},{"url":null,"slug":"advancing-conversational-psychotherapy","title":"Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models","date":"2024-12-04","arxiv_id":"2412.02987","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-detection-of-diseases-in-spanish","title":"Automatic detection of diseases in Spanish clinical notes combining medical language models and ontologies","date":"2024-12-04","arxiv_id":"2412.03176","repositories_listed":0,"syntology":null},{"url":null,"slug":"controlling-the-mutation-in-large-language","title":"Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms","date":"2024-12-04","arxiv_id":"2412.03250","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamiccontrol-adaptive-condition-selection","title":"DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation","date":"2024-12-04","arxiv_id":"2412.03255","repositories_listed":0,"syntology":null},{"url":null,"slug":"intent-driven-in-context-learning-for-few","title":"Intent-driven In-context Learning for Few-shot Dialogue State Tracking","date":"2024-12-04","arxiv_id":"2412.03270","repositories_listed":0,"syntology":null},{"url":null,"slug":"objectfinder-open-vocabulary-assistive-system","title":"ObjectFinder: An Open-Vocabulary Assistive System for Interactive Object Search by Blind People","date":"2024-12-04","arxiv_id":"2412.03118","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-of-different-large-language-model","title":"Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges","date":"2024-12-04","arxiv_id":"2412.03220","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-free-mitigation-of-language","title":"Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning","date":"2024-12-04","arxiv_id":"2412.03467","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-llms-for-temporal-reasoning-in-long","title":"Video LLMs for Temporal Reasoning in Long Videos","date":"2024-12-04","arxiv_id":"2412.02930","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-evolutionary-large-language-model-for","title":"An Evolutionary Large Language Model for Hallucination Mitigation","date":"2024-12-03","arxiv_id":"2412.02790","repositories_listed":0,"syntology":null},{"url":null,"slug":"cpp-ut-bench-can-llms-write-complex-unit","title":"CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?","date":"2024-12-03","arxiv_id":"2412.02735","repositories_listed":0,"syntology":null},{"url":null,"slug":"datalab-a-unifed-platform-for-llm-powered","title":"DataLab: A Unified Platform for LLM-Powered Business Intelligence","date":"2024-12-03","arxiv_id":"2412.02205","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-ctr-prediction-via-llm-reasoning","title":"Explainable CTR Prediction via LLM Reasoning","date":"2024-12-03","arxiv_id":"2412.02588","repositories_listed":0,"syntology":null},{"url":null,"slug":"flattering-to-deceive-the-impact-of","title":"Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model","date":"2024-12-03","arxiv_id":"2412.02802","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-squad-hybrid-scholarly-question","title":"Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset","date":"2024-12-03","arxiv_id":"2412.02788","repositories_listed":0,"syntology":null}],"record_sha256":"d0330b89b0627e646d36af44091cd4d173b53991d1a83a9a9af7863914346ba2","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}