{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/language-modeling/papers/95","list_of":"/task/language-modeling","task":"Language Modeling","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":95,"pages_in_order":142,"rows_per_page":100,"rows":[9401,9500],"of":14182,"counts":{"archive_papers_tagged":14182,"with_a_code_link":5620,"where_syntology_ran_a_sample":1894,"not_listed_spam_title":0,"listed":14182,"listed_where_code_ran":1894,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1580,"every_run_a_failure_of_syntologys_instrument":314,"listed_with_a_run_with_no_instrument_failure":1580,"listed_every_run_a_failure_of_syntologys_instrument":314,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/language-modeling","prev":"/task/language-modeling/papers/94","next":"/task/language-modeling/papers/96","papers":[{"url":null,"slug":"differentially-private-zeroth-order-methods","title":"Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning","date":"2024-02-12","arxiv_id":"2402.07818","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-amharic-llama-integrating-task","title":"Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets","date":"2024-02-12","arxiv_id":"2402.08015","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-multi-criteria-decision-analysis","title":"Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic Hierarchy Process and GPT-4 for Automated Decision Support","date":"2024-02-12","arxiv_id":"2402.07404","repositories_listed":0,"syntology":null},{"url":null,"slug":"lumos-empowering-multimodal-llms-with-scene","title":"Lumos : Empowering Multimodal LLMs with Scene Text Recognition","date":"2024-02-12","arxiv_id":"2402.08017","repositories_listed":0,"syntology":null},{"url":null,"slug":"mafia-multi-adapter-fused-inclusive-language","title":"MAFIA: Multi-Adapter Fused Inclusive LanguAge Models","date":"2024-02-12","arxiv_id":"2402.07519","repositories_listed":0,"syntology":null},{"url":null,"slug":"pushing-the-limit-of-llm-capacity-for-text","title":"Pushing The Limit of LLM Capacity for Text Classification","date":"2024-02-12","arxiv_id":"2402.07470","repositories_listed":0,"syntology":null},{"url":null,"slug":"semtra-a-semantic-skill-translator-for-cross","title":"SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation","date":"2024-02-12","arxiv_id":"2402.07418","repositories_listed":0,"syntology":null},{"url":null,"slug":"suppressing-pink-elephants-with-direct","title":"Suppressing Pink Elephants with Direct Principle Feedback","date":"2024-02-12","arxiv_id":"2402.07896","repositories_listed":0,"syntology":null},{"url":null,"slug":"cpsdbench-a-large-language-model-evaluation","title":"CPSDBench: A Large Language Model Evaluation Benchmark and Baseline for Chinese Public Security Domain","date":"2024-02-11","arxiv_id":"2402.07234","repositories_listed":0,"syntology":null},{"url":null,"slug":"effort-and-size-estimation-in-software","title":"Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces","date":"2024-02-11","arxiv_id":"2402.07158","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-empowered-dose-volume","title":"Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy","date":"2024-02-11","arxiv_id":"2402.07167","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-large-language-models-to-automate-and","title":"Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine","date":"2024-02-11","arxiv_id":"2402.07069","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tale-of-tails-model-collapse-as-a-change-of","title":"A Tale of Tails: Model Collapse as a Change of Scaling Laws","date":"2024-02-10","arxiv_id":"2402.07043","repositories_listed":0,"syntology":null},{"url":null,"slug":"history-development-and-principles-of-large","title":"History, Development, and Principles of Large Language Models-An Introductory Survey","date":"2024-02-10","arxiv_id":"2402.06853","repositories_listed":0,"syntology":null},{"url":null,"slug":"lifi-lightweight-controlled-text-generation","title":"LiFi: Lightweight Controlled Text Generation with Fine-Grained Control Codes","date":"2024-02-10","arxiv_id":"2402.06930","repositories_listed":0,"syntology":null},{"url":null,"slug":"nlp-for-knowledge-discovery-and-information","title":"NLP for Knowledge Discovery and Information Extraction from Energetics Corpora","date":"2024-02-10","arxiv_id":"2402.06964","repositories_listed":0,"syntology":null},{"url":null,"slug":"protir-iterative-refinement-between","title":"ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation","date":"2024-02-10","arxiv_id":"2402.07955","repositories_listed":0,"syntology":null},{"url":null,"slug":"sentinels-of-the-stream-unleashing-large","title":"Sentinels of the Stream: Unleashing Large Language Models for Dynamic Packet Classification in Software Defined Networks -- Position Paper","date":"2024-02-10","arxiv_id":"2402.07950","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairly-evaluating-large-language-model-based","title":"Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation","date":"2024-02-09","arxiv_id":"2402.06216","repositories_listed":0,"syntology":null},{"url":null,"slug":"gs-clip-gaussian-splatting-for-contrastive","title":"GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data","date":"2024-02-09","arxiv_id":"2402.06198","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-models-for-captioning-and","title":"Large Language Models for Captioning and Retrieving Remote Sensing Images","date":"2024-02-09","arxiv_id":"2402.06475","repositories_listed":0,"syntology":null},{"url":null,"slug":"llava-docent-instruction-tuning-with","title":"LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education","date":"2024-02-09","arxiv_id":"2402.06264","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-consistent-context-aware-conformer","title":"Self-consistent context aware conformer transducer for speech recognition","date":"2024-02-09","arxiv_id":"2402.06592","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-supportive-and-personalized-human-large","title":"Task Supportive and Personalized Human-Large Language Model Interaction: A User Study","date":"2024-02-09","arxiv_id":"2402.06170","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-interactive-agent-foundation-model","title":"An Interactive Agent Foundation Model","date":"2024-02-08","arxiv_id":"2402.05929","repositories_listed":0,"syntology":null},{"url":null,"slug":"clip-loc-multi-modal-landmark-association-for","title":"CLIP-Loc: Multi-modal Landmark Association for Global Localization in Object-based Maps","date":"2024-02-08","arxiv_id":"2402.06092","repositories_listed":0,"syntology":null},{"url":null,"slug":"driving-everywhere-with-large-language-model","title":"Driving Everywhere with Large Language Model Policy Adaptation","date":"2024-02-08","arxiv_id":"2402.05932","repositories_listed":0,"syntology":null},{"url":"/paper/how-do-transformers-perform-in-context","slug":"how-do-transformers-perform-in-context","title":"How do Transformers perform In-Context Autoregressive Learning?","date":"2024-02-08","arxiv_id":"2402.05787","repositories_listed":0,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/how-do-transformers-perform-in-context#ran","syntology_url":"https://syntology.ai/paper/2402.05787","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.05787"}},"official":null}},{"url":null,"slug":"improving-agent-interactions-in-virtual","title":"Improving Agent Interactions in Virtual Environments with Language Models","date":"2024-02-08","arxiv_id":"2402.05440","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-llms-for-explainable-fault","title":"Integrating LLMs for Explainable Fault Diagnosis in Complex Systems","date":"2024-02-08","arxiv_id":"2402.06695","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-augmented-exercise","title":"Large Language Model Augmented Exercise Retrieval for Personalized Language Learning","date":"2024-02-08","arxiv_id":"2402.16877","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-meets-graph-neural","title":"Large Language Model Meets Graph Neural Network in Knowledge Distillation","date":"2024-02-08","arxiv_id":"2402.05894","repositories_listed":0,"syntology":null},{"url":null,"slug":"pretrained-generative-language-models-as","title":"Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks","date":"2024-02-08","arxiv_id":"2402.05616","repositories_listed":0,"syntology":null},{"url":null,"slug":"question-aware-vision-transformer-for","title":"Question Aware Vision Transformer for Multimodal Reasoning","date":"2024-02-08","arxiv_id":"2402.05472","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-to-code-generation-with-modality","title":"Text-to-Code Generation with Modality-relative Pre-training","date":"2024-02-08","arxiv_id":"2402.05783","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-masked-language-model-for-multi-source-ehr","title":"A Masked language model for multi-source EHR trajectories contextual representation learning","date":"2024-02-07","arxiv_id":"2402.06675","repositories_listed":0,"syntology":null},{"url":null,"slug":"de-amplifying-bias-from-differential-privacy","title":"De-amplifying Bias from Differential Privacy in Language Model Fine-tuning","date":"2024-02-07","arxiv_id":"2402.04489","repositories_listed":0,"syntology":null},{"url":null,"slug":"direct-language-model-alignment-from-online","title":"Direct Language Model Alignment from Online AI Feedback","date":"2024-02-07","arxiv_id":"2402.04792","repositories_listed":0,"syntology":null},{"url":null,"slug":"stablemask-refining-causal-masking-in-decoder","title":"StableMask: Refining Causal Masking in Decoder-only Transformer","date":"2024-02-07","arxiv_id":"2402.04779","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatbot-meets-pipeline-augment-large-language","title":"DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton","date":"2024-02-06","arxiv_id":"2402.04411","repositories_listed":0,"syntology":null},{"url":null,"slug":"empowering-language-models-with-active","title":"Empowering Language Models with Active Inquiry for Deeper Understanding","date":"2024-02-06","arxiv_id":"2402.03719","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-retrieval-processes-for-language","title":"Enhancing Retrieval Processes for Language Generation with Augmented Queries","date":"2024-02-06","arxiv_id":"2402.16874","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-low-resource-medical-image","title":"Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning","date":"2024-02-06","arxiv_id":"2402.03783","repositories_listed":0,"syntology":null},{"url":null,"slug":"harnessing-the-plug-and-play-controller-by","title":"Harnessing the Plug-and-Play Controller by Prompting","date":"2024-02-06","arxiv_id":"2402.04160","repositories_listed":0,"syntology":null},{"url":null,"slug":"listen-chat-and-edit-text-guided-soundscape","title":"Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience","date":"2024-02-06","arxiv_id":"2402.03710","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantagent-seeking-holy-grail-in-trading-by","title":"QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model","date":"2024-02-06","arxiv_id":"2402.03755","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-use-of-a-large-language-model-for","title":"The Use of a Large Language Model for Cyberbullying Detection","date":"2024-02-06","arxiv_id":"2402.04088","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-text-purification-a-large","title":"Adversarial Text Purification: A Large Language Model Approach for Defense","date":"2024-02-05","arxiv_id":"2402.06655","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-text-improving-llm-s-decision-making","title":"Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks","date":"2024-02-05","arxiv_id":"2402.03494","repositories_listed":0,"syntology":null},{"url":null,"slug":"lb-kbqa-large-language-model-and-bert-based","title":"LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System","date":"2024-02-05","arxiv_id":"2402.05130","repositories_listed":0,"syntology":null},{"url":null,"slug":"make-every-move-count-llm-based-high-quality","title":"Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS","date":"2024-02-05","arxiv_id":"2402.03289","repositories_listed":0,"syntology":null},{"url":null,"slug":"nevermind-instruction-override-and-moderation","title":"Nevermind: Instruction Override and Moderation in Large Language Models","date":"2024-02-05","arxiv_id":"2402.03303","repositories_listed":0,"syntology":null},{"url":null,"slug":"resolving-transcription-ambiguity-in-spanish","title":"Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration","date":"2024-02-05","arxiv_id":"2402.03519","repositories_listed":0,"syntology":null},{"url":null,"slug":"vln-video-utilizing-driving-videos-for","title":"VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation","date":"2024-02-05","arxiv_id":"2402.03561","repositories_listed":0,"syntology":null},{"url":null,"slug":"brain-bayesian-reward-conditioned-amortized","title":"BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback","date":"2024-02-04","arxiv_id":"2402.02479","repositories_listed":0,"syntology":null},{"url":null,"slug":"dellma-a-framework-for-decision-making-under","title":"DeLLMa: Decision Making Under Uncertainty with Large Language Models","date":"2024-02-04","arxiv_id":"2402.02392","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizable-entity-grounding-via-assistance","title":"Generalizable Entity Grounding via Assistance of Large Language Model","date":"2024-02-04","arxiv_id":"2402.02555","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-for-table-processing-a","title":"Large Language Model for Table Processing: A Survey","date":"2024-02-04","arxiv_id":"2402.05121","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-causal-structure-learning-and","title":"Multi-modal Causal Structure Learning and Root Cause Analysis","date":"2024-02-04","arxiv_id":"2402.02357","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-machine-translation-performance-on","title":"Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity","date":"2024-02-04","arxiv_id":"2402.02633","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-developmental-landscape-of-in-context","title":"The Developmental Landscape of In-Context Learning","date":"2024-02-04","arxiv_id":"2402.02364","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-sentiment-polarity-reduction-in","title":"Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models","date":"2024-02-03","arxiv_id":"2402.02145","repositories_listed":0,"syntology":null},{"url":null,"slug":"gpt-4v-as-traffic-assistant-an-in-depth-look","title":"GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events","date":"2024-02-03","arxiv_id":"2402.02205","repositories_listed":0,"syntology":null},{"url":null,"slug":"position-paper-the-landscape-and-challenges","title":"The Landscape and Challenges of HPC Research and LLMs","date":"2024-02-03","arxiv_id":"2402.02018","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-large-language-model","title":"A Survey on Large Language Model Hallucination via a Creativity Perspective","date":"2024-02-02","arxiv_id":"2402.06647","repositories_listed":0,"syntology":null},{"url":null,"slug":"code-representation-learning-at-scale","title":"Code Representation Learning At Scale","date":"2024-02-02","arxiv_id":"2402.01935","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modality-debiasing-using-language-to","title":"Cross-modality debiasing: using language to mitigate sub-population shifts in imaging","date":"2024-02-02","arxiv_id":"2403.07888","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-active-learning-for-data-mining-from","title":"Deep Active Learning for Data Mining from Conflict Text Corpora","date":"2024-02-02","arxiv_id":"2402.01577","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-agent-for-hyper","title":"Large Language Model Agent for Hyper-Parameter Optimization","date":"2024-02-02","arxiv_id":"2402.01881","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-semantic-information-from-raw-audio","title":"Learning Semantic Information from Raw Audio Signal Using Both Contextual and Phonetic Representations","date":"2024-02-02","arxiv_id":"2402.01298","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-large-language-models-for-5","title":"Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature","date":"2024-02-02","arxiv_id":"2402.01826","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-augmented-end-to-end-spoken-dialog","title":"Retrieval Augmented End-to-End Spoken Dialog Models","date":"2024-02-02","arxiv_id":"2402.01828","repositories_listed":0,"syntology":null},{"url":"/paper/specialized-language-models-with-cheap","slug":"specialized-language-models-with-cheap","title":"Need a Small Specialized Language Model? Plan Early!","date":"2024-02-02","arxiv_id":"2402.01093","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-role-of-foundation-models-in-neuro","title":"The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning","date":"2024-02-02","arxiv_id":"2402.01889","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-unified-language-model-for","title":"CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks","date":"2024-02-02","arxiv_id":"2402.01176","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-will-my-model-forget-forecasting","title":"What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement","date":"2024-02-02","arxiv_id":"2402.01865","repositories_listed":0,"syntology":null},{"url":null,"slug":"computational-experiments-meet-large-language","title":"Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective","date":"2024-02-01","arxiv_id":"2402.00262","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-spatial-schema-intuitions-in-large","title":"Exploring Spatial Schema Intuitions in Large Language and Vision Models","date":"2024-02-01","arxiv_id":"2402.00956","repositories_listed":0,"syntology":null},{"url":null,"slug":"generation-distillation-and-evaluation-of","title":"Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model","date":"2024-02-01","arxiv_id":"2402.01051","repositories_listed":0,"syntology":null},{"url":null,"slug":"hiqa-a-hierarchical-contextual-augmentation","title":"HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA","date":"2024-02-01","arxiv_id":"2402.01767","repositories_listed":0,"syntology":null},{"url":null,"slug":"institutional-platform-for-secure-self","title":"Institutional Platform for Secure Self-Service Large Language Model Exploration","date":"2024-02-01","arxiv_id":"2402.00913","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-information-of-large-language-model","title":"The Information of Large Language Model Geometry","date":"2024-02-01","arxiv_id":"2402.03471","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlearnable-algorithms-for-in-context","title":"Unlearnable Algorithms for In-context Learning","date":"2024-02-01","arxiv_id":"2402.00751","repositories_listed":0,"syntology":null},{"url":null,"slug":"employing-label-models-on-chatgpt-answers","title":"Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance","date":"2024-01-31","arxiv_id":"2401.17897","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-large-language-model-with","title":"Enhancing Large Language Model with Decomposed Reasoning for Emotion Cause Pair Extraction","date":"2024-01-31","arxiv_id":"2401.17716","repositories_listed":0,"syntology":null},{"url":null,"slug":"lions-1-and-tigers-2-and-bears-3-oh-my","title":"[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs","date":"2024-01-31","arxiv_id":"2401.17922","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectrum-speaker-enhanced-pre-training-for","title":"SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization","date":"2024-01-31","arxiv_id":"2401.17597","repositories_listed":0,"syntology":null},{"url":null,"slug":"speechcomposer-unifying-multiple-speech-tasks","title":"SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition","date":"2024-01-31","arxiv_id":"2401.18045","repositories_listed":0,"syntology":null},{"url":null,"slug":"customizing-language-model-responses-with","title":"Customizing Language Model Responses with Contrastive In-Context Learning","date":"2024-01-30","arxiv_id":"2401.17390","repositories_listed":0,"syntology":null},{"url":null,"slug":"engineering-a-large-language-model-from","title":"Engineering A Large Language Model From Scratch","date":"2024-01-30","arxiv_id":"2401.16736","repositories_listed":0,"syntology":null},{"url":null,"slug":"evomerge-neuroevolution-for-large-language","title":"EvoMerge: Neuroevolution for Large Language Models","date":"2024-01-30","arxiv_id":"2402.00070","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-reinforcement-learning-from-human","title":"Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble","date":"2024-01-30","arxiv_id":"2401.16635","repositories_listed":0,"syntology":null},{"url":null,"slug":"assistive-large-language-model-agents-for","title":"Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues","date":"2024-01-29","arxiv_id":"2402.01737","repositories_listed":0,"syntology":null},{"url":null,"slug":"c4q-a-chatbot-for-quantum","title":"C4Q: A Chatbot for Quantum","date":"2024-01-29","arxiv_id":"2402.01738","repositories_listed":0,"syntology":null},{"url":null,"slug":"credit-risk-meets-large-language-models","title":"Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending","date":"2024-01-29","arxiv_id":"2401.16458","repositories_listed":0,"syntology":null},{"url":null,"slug":"development-and-testing-of-a-novel-large","title":"Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties","date":"2024-01-29","arxiv_id":"2402.01741","repositories_listed":0,"syntology":null},{"url":null,"slug":"drbert-unveiling-the-potential-of-masked","title":"BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining","date":"2024-01-29","arxiv_id":"2401.15861","repositories_listed":0,"syntology":null},{"url":null,"slug":"kaucus-knowledge-augmented-user-simulators","title":"KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants","date":"2024-01-29","arxiv_id":"2401.16454","repositories_listed":0,"syntology":null},{"url":null,"slug":"lcvo-an-efficient-pretraining-free-framework","title":"LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering","date":"2024-01-29","arxiv_id":"2401.15842","repositories_listed":0,"syntology":null},{"url":null,"slug":"llamandement-large-language-models-for","title":"LLaMandement: Large Language Models for Summarization of French Legislative Proposals","date":"2024-01-29","arxiv_id":"2401.16182","repositories_listed":0,"syntology":null}],"record_sha256":"2e83067f84cbdc4693caa6892e850053a9b109e17f461022a5c80104c2ba03aa","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}