{"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-modelling/papers/87","list_of":"/task/language-modelling","task":"Language Modelling","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":87,"pages_in_order":177,"rows_per_page":100,"rows":[8601,8700],"of":17610,"counts":{"archive_papers_tagged":17610,"with_a_code_link":7012,"where_syntology_ran_a_sample":2428,"not_listed_spam_title":0,"listed":17610,"listed_where_code_ran":2428,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":2027,"every_run_a_failure_of_syntologys_instrument":401,"listed_with_a_run_with_no_instrument_failure":2027,"listed_every_run_a_failure_of_syntologys_instrument":401,"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-modelling","prev":"/task/language-modelling/papers/86","next":"/task/language-modelling/papers/88","papers":[{"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":"leveraging-large-vision-language-model-as","title":"Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval","date":"2024-12-15","arxiv_id":"2412.11087","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-vision-and-language-modeling","title":"Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives","date":"2024-12-14","arxiv_id":"2412.10720","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-centric-nlp-or-ai-centric-illusion-a","title":"Human-Centric NLP or AI-Centric Illusion?: A Critical Investigation","date":"2024-12-14","arxiv_id":"2412.10939","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":"optimizing-vision-language-interactions","title":"Optimizing Vision-Language Interactions Through Decoder-Only Models","date":"2024-12-14","arxiv_id":"2412.10758","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":"wepo-web-element-preference-optimization-for","title":"WEPO: Web Element Preference Optimization for LLM-based Web Navigation","date":"2024-12-14","arxiv_id":"2412.10742","repositories_listed":0,"syntology":null},{"url":null,"slug":"evlm-self-reflective-multimodal-reasoning-for","title":"EVLM: Self-Reflective Multimodal Reasoning for Cross-Dimensional Visual Editing","date":"2024-12-13","arxiv_id":"2412.10566","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":"solving-the-inverse-alignment-problem-for","title":"Solving the Inverse Alignment Problem for Efficient RLHF","date":"2024-12-13","arxiv_id":"2412.10529","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":"agenttrek-agent-trajectory-synthesis-via","title":"AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials","date":"2024-12-12","arxiv_id":"2412.09605","repositories_listed":0,"syntology":null},{"url":null,"slug":"carebot-a-pioneering-full-process-open-source","title":"CareBot: A Pioneering Full-Process Open-Source Medical Language Model","date":"2024-12-12","arxiv_id":"2412.15236","repositories_listed":0,"syntology":null},{"url":null,"slug":"congruence-based-learning-of-probabilistic","title":"Congruence-based Learning of Probabilistic Deterministic Finite Automata","date":"2024-12-12","arxiv_id":"2412.09760","repositories_listed":0,"syntology":null},{"url":null,"slug":"dialogue-language-model-with-large-scale","title":"Dialogue Language Model with Large-Scale Persona Data Engineering","date":"2024-12-12","arxiv_id":"2412.09034","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":"efficient-and-comprehensive-feature","title":"Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis","date":"2024-12-12","arxiv_id":"2412.09521","repositories_listed":0,"syntology":null},{"url":null,"slug":"foundation-models-and-adaptive-feature","title":"Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering","date":"2024-12-12","arxiv_id":"2412.09230","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-model-driven-a-protac-generation","title":"Language model driven: a PROTAC generation pipeline with dual constraints of structure and property","date":"2024-12-12","arxiv_id":"2412.09661","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-novel-skills-from-language-generated","title":"Learning Novel Skills from Language-Generated Demonstrations","date":"2024-12-12","arxiv_id":"2412.09286","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":"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":"latentqa-teaching-llms-to-decode-activations","title":"LatentQA: Teaching LLMs to Decode Activations Into Natural Language","date":"2024-12-11","arxiv_id":"2412.08686","repositories_listed":0,"syntology":null},{"url":null,"slug":"points1-5-building-a-vision-language-model","title":"POINTS1.5: Building a Vision-Language Model towards Real World Applications","date":"2024-12-11","arxiv_id":"2412.08443","repositories_listed":0,"syntology":null},{"url":null,"slug":"position-aware-guided-point-cloud-completion","title":"Position-aware Guided Point Cloud Completion with CLIP Model","date":"2024-12-11","arxiv_id":"2412.08271","repositories_listed":0,"syntology":null},{"url":null,"slug":"smoltulu-higher-learning-rate-to-batch-size","title":"SmolTulu: Higher Learning Rate to Batch Size Ratios Can Lead to Better Reasoning in SLMs","date":"2024-12-11","arxiv_id":"2412.08347","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":"breaking-the-stage-barrier-a-novel-single","title":"Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models","date":"2024-12-10","arxiv_id":"2412.07171","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":"kulture-bench-a-benchmark-for-assessing","title":"KULTURE Bench: A Benchmark for Assessing Language Model in Korean Cultural Context","date":"2024-12-10","arxiv_id":"2412.07251","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":"personalized-and-sequential-text-to-image","title":"Preference Adaptive and Sequential Text-to-Image Generation","date":"2024-12-10","arxiv_id":"2412.10419","repositories_listed":0,"syntology":null},{"url":"/paper/rag-based-question-answering-over","slug":"rag-based-question-answering-over","title":"RAG-based Question Answering over Heterogeneous Data and Text","date":"2024-12-10","arxiv_id":"2412.07420","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":"effective-text-adaptation-for-llm-based-asr","title":"Effective Text Adaptation for LLM-based ASR through Soft Prompt Fine-Tuning","date":"2024-12-09","arxiv_id":"2412.06967","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":"/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":"leveraging-prompt-learning-and-pause-encoding","title":"Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection","date":"2024-12-09","arxiv_id":"2412.06259","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":"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":"small-languages-big-models-a-study-of","title":"Small Languages, Big Models: A Study of Continual Training on Languages of Norway","date":"2024-12-09","arxiv_id":"2412.06484","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":"enhanced-computationally-efficient-long-lora","title":"Enhanced Computationally Efficient Long LoRA Inspired Perceiver Architectures for Auto-Regressive Language Modeling","date":"2024-12-08","arxiv_id":"2412.06106","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":"lvp-clip-revisiting-clip-for-continual","title":"LVP-CLIP:Revisiting CLIP for Continual Learning with Label Vector Pool","date":"2024-12-08","arxiv_id":"2412.05840","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-trained-protein-language-model-for-codon","title":"Pre-trained protein language model for codon optimization","date":"2024-12-08","arxiv_id":"2412.10411","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":"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":"smi-editor-edit-based-smiles-language-model","title":"SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision","date":"2024-12-07","arxiv_id":"2412.05569","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-practical-examination-of-ai-generated-text","title":"A Practical Examination of AI-Generated Text Detectors for Large Language Models","date":"2024-12-06","arxiv_id":"2412.05139","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":"adaptive-optimization-for-enhanced-efficiency","title":"Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training","date":"2024-12-06","arxiv_id":"2412.04718","repositories_listed":0,"syntology":null},{"url":null,"slug":"cigtime-corrective-instruction-generation","title":"CigTime: Corrective Instruction Generation Through Inverse Motion Editing","date":"2024-12-06","arxiv_id":"2412.05460","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-cross-language-code-translation-via","title":"Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation","date":"2024-12-06","arxiv_id":"2412.05159","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":"espresso-high-compression-for-rich-extraction","title":"Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model","date":"2024-12-06","arxiv_id":"2412.04729","repositories_listed":0,"syntology":null},{"url":null,"slug":"findings-of-the-second-babylm-challenge","title":"Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora","date":"2024-12-06","arxiv_id":"2412.05149","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":"generative-humanization-for-therapeutic","title":"Generative Humanization for Therapeutic Antibodies","date":"2024-12-06","arxiv_id":"2412.04737","repositories_listed":0,"syntology":null},{"url":null,"slug":"kalm-knowledge-aligned-autoregressive","title":"KaLM: Knowledge-aligned Autoregressive Language Modeling via Dual-view Knowledge Graph Contrastive Learning","date":"2024-12-06","arxiv_id":"2412.04948","repositories_listed":0,"syntology":null},{"url":null,"slug":"petapter-leveraging-pet-style-classification","title":"PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning","date":"2024-12-06","arxiv_id":"2412.04975","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-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":"al-qasida-analyzing-llm-quality-and-accuracy","title":"AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic","date":"2024-12-05","arxiv_id":"2412.04193","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":"code-as-monitor-constraint-aware-visual","title":"Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection","date":"2024-12-05","arxiv_id":"2412.04455","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":"establishing-task-scaling-laws-via-compute","title":"Establishing Task Scaling Laws via Compute-Efficient Model Ladders","date":"2024-12-05","arxiv_id":"2412.04403","repositories_listed":0,"syntology":null},{"url":null,"slug":"ll-icm-image-compression-for-low-level","title":"LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model","date":"2024-12-05","arxiv_id":"2412.03841","repositories_listed":0,"syntology":null},{"url":null,"slug":"antlm-bridging-causal-and-masked-language","title":"AntLM: Bridging Causal and Masked Language Models","date":"2024-12-04","arxiv_id":"2412.03275","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":"benchmarking-harmonized-tariff-schedule","title":"Benchmarking Harmonized Tariff Schedule Classification Models","date":"2024-12-04","arxiv_id":"2412.14179","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":"fanal-financial-activity-news-alerting","title":"FANAL -- Financial Activity News Alerting Language Modeling Framework","date":"2024-12-04","arxiv_id":"2412.03527","repositories_listed":0,"syntology":null},{"url":"/paper/from-language-models-over-tokens-to-language","slug":"from-language-models-over-tokens-to-language","title":"From Language Models over Tokens to Language Models over Characters","date":"2024-12-04","arxiv_id":"2412.03719","repositories_listed":0,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/from-language-models-over-tokens-to-language#ran","syntology_url":"https://syntology.ai/paper/2412.03719","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.03719"}},"official":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":"language-model-meets-prototypes-towards","title":"Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks","date":"2024-12-04","arxiv_id":"2412.03761","repositories_listed":0,"syntology":null},{"url":null,"slug":"perl-pinyin-enhanced-rephrasing-language","title":"PERL: Pinyin Enhanced Rephrasing Language Model for Chinese ASR N-best Error Correction","date":"2024-12-04","arxiv_id":"2412.03230","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}],"record_sha256":"ec86433999f16ff7e4e2bda60e182ab939dac3777ad45c705f8e85de9a94ebab","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}