{"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/58","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":58,"pages_in_order":61,"rows_per_page":100,"rows":[5701,5800],"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/57","next":"/task/large-language-model/papers/59","papers":[{"url":null,"slug":"contextual-emotion-estimation-from-image","title":"Contextual Emotion Estimation from Image Captions","date":"2023-09-22","arxiv_id":"2309.13136","repositories_listed":0,"syntology":null},{"url":null,"slug":"planfitting-tailoring-personalized-exercise","title":"PlanFitting: Personalized Exercise Planning with Large Language Model-driven Conversational Agent","date":"2023-09-22","arxiv_id":"2309.12555","repositories_listed":0,"syntology":null},{"url":null,"slug":"topological-data-mapping-of-online-hate","title":"Topological Data Mapping of Online Hate Speech, Misinformation, and General Mental Health: A Large Language Model Based Study","date":"2023-09-22","arxiv_id":"2309.13098","repositories_listed":0,"syntology":null},{"url":null,"slug":"inspire-the-large-language-model-by-external","title":"Inspire the Large Language Model by External Knowledge on BioMedical Named Entity Recognition","date":"2023-09-21","arxiv_id":"2309.12278","repositories_listed":0,"syntology":null},{"url":null,"slug":"llmr-real-time-prompting-of-interactive","title":"LLMR: Real-time Prompting of Interactive Worlds using Large Language Models","date":"2023-09-21","arxiv_id":"2309.12276","repositories_listed":0,"syntology":null},{"url":null,"slug":"peftt-parameter-efficient-fine-tuning-for-low","title":"PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models","date":"2023-09-21","arxiv_id":"2309.12109","repositories_listed":0,"syntology":null},{"url":null,"slug":"rehearsal-simulating-conflict-to-teach","title":"Rehearsal: Simulating Conflict to Teach Conflict Resolution","date":"2023-09-21","arxiv_id":"2309.12309","repositories_listed":0,"syntology":null},{"url":null,"slug":"discuss-before-moving-visual-language","title":"Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions","date":"2023-09-20","arxiv_id":"2309.11382","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-agent-based-modeling-unveiling","title":"Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence","date":"2023-09-20","arxiv_id":"2309.11456","repositories_listed":0,"syntology":null},{"url":null,"slug":"gpt-molberta-gpt-molecular-features-language","title":"GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction","date":"2023-09-20","arxiv_id":"2310.03030","repositories_listed":0,"syntology":null},{"url":null,"slug":"it-s-a-fair-game-or-is-it-examining-how-users","title":"\"It's a Fair Game\", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents","date":"2023-09-20","arxiv_id":"2309.11653","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hierarchical-neural-framework-for","title":"A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents","date":"2023-09-19","arxiv_id":"2309.10563","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-health-data-interoperability-with","title":"Enhancing Health Data Interoperability with Large Language Models: A FHIR Study","date":"2023-09-19","arxiv_id":"2310.12989","repositories_listed":0,"syntology":null},{"url":null,"slug":"explaining-agent-behavior-with-large-language","title":"Explaining Agent Behavior with Large Language Models","date":"2023-09-19","arxiv_id":"2309.10346","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-catastrophic-forgetting-in","title":"Investigating the Catastrophic Forgetting in Multimodal Large Language Models","date":"2023-09-19","arxiv_id":"2309.10313","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-speech-ptm-text-llm-and-emotional","title":"Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition","date":"2023-09-19","arxiv_id":"2309.10294","repositories_listed":0,"syntology":null},{"url":null,"slug":"corpus-synthesis-for-zero-shot-asr-domain","title":"Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models","date":"2023-09-18","arxiv_id":"2309.10707","repositories_listed":0,"syntology":null},{"url":"/paper/efficient-avoidance-of-vulnerabilities-in","slug":"efficient-avoidance-of-vulnerabilities-in","title":"Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding","date":"2023-09-18","arxiv_id":"2309.09826","repositories_listed":0,"syntology":null},{"url":null,"slug":"radonc-gpt-a-large-language-model-for","title":"RadOnc-GPT: A Large Language Model for Radiation Oncology","date":"2023-09-18","arxiv_id":"2309.10160","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-ontology-construction-with-language","title":"Towards Ontology Construction with Language Models","date":"2023-09-18","arxiv_id":"2309.09898","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-approach-to-measuring-patent-claim","title":"A novel approach to measuring the scope of patent claims based on probabilities obtained from (large) language models","date":"2023-09-17","arxiv_id":"2309.10003","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-cooking-recipes-to-robot-task-trees","title":"From Cooking Recipes to Robot Task Trees -- Improving Planning Correctness and Task Efficiency by Leveraging LLMs with a Knowledge Network","date":"2023-09-17","arxiv_id":"2309.09181","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-of-the-pre-trained-large-language","title":"Performance of the Pre-Trained Large Language Model GPT-4 on Automated Short Answer Grading","date":"2023-09-17","arxiv_id":"2309.09338","repositories_listed":0,"syntology":null},{"url":null,"slug":"talk2care-facilitating-asynchronous-patient","title":"Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model","date":"2023-09-17","arxiv_id":"2309.09357","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-large-language-model-induced-task","title":"Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals","date":"2023-09-16","arxiv_id":"2309.08949","repositories_listed":0,"syntology":null},{"url":null,"slug":"s3-dst-structured-open-domain-dialogue","title":"S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs","date":"2023-09-16","arxiv_id":"2309.08827","repositories_listed":0,"syntology":null},{"url":null,"slug":"bioinspiredllm-conversational-large-language","title":"BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials","date":"2023-09-15","arxiv_id":"2309.08788","repositories_listed":0,"syntology":null},{"url":null,"slug":"compositional-foundation-models-for","title":"Compositional Foundation Models for Hierarchical Planning","date":"2023-09-15","arxiv_id":"2309.08587","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-machine-translation-models-can-learn","title":"Neural Machine Translation Models Can Learn to be Few-shot Learners","date":"2023-09-15","arxiv_id":"2309.08590","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-large-language-model-to-solve-and","title":"Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level","date":"2023-09-15","arxiv_id":"2309.08182","repositories_listed":0,"syntology":null},{"url":null,"slug":"are-large-language-model-based-evaluators-the","title":"Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?","date":"2023-09-14","arxiv_id":"2309.07462","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-v-bard-v-bing-v-claude-2-v-aria-v","title":"ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing?","date":"2023-09-14","arxiv_id":"2309.08636","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-chatgpt-a-survey-of-the-state-of","title":"Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text","date":"2023-09-14","arxiv_id":"2309.07689","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-rejection-sampling-improves","title":"Statistical Rejection Sampling Improves Preference Optimization","date":"2023-09-13","arxiv_id":"2309.06657","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-robustness-of-neural-inverse-text","title":"Improving Robustness of Neural Inverse Text Normalization via Data-Augmentation, Semi-Supervised Learning, and Post-Aligning Method","date":"2023-09-12","arxiv_id":"2309.08626","repositories_listed":0,"syntology":null},{"url":null,"slug":"designs-and-implementations-in-neural-network","title":"Designs and Implementations in Neural Network-based Video Coding","date":"2023-09-11","arxiv_id":"2309.05846","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-bias-detection-in-college","title":"Unsupervised Bias Detection in College Student Newspapers","date":"2023-09-11","arxiv_id":"2309.06557","repositories_listed":0,"syntology":null},{"url":null,"slug":"decolonial-ai-alignment-visesadharma-argument","title":"Decolonial AI Alignment: Openness, Viśe\\d{s}a-Dharma, and Including Excluded Knowledges","date":"2023-09-10","arxiv_id":"2309.05030","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-disinformation-and-fake-news","title":"Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model","date":"2023-09-09","arxiv_id":"2309.04704","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-chatbots-to-promote-users-trust","title":"Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems","date":"2023-09-09","arxiv_id":"2309.05680","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-llm-based-autograding-for-short","title":"Towards LLM-based Autograding for Short Textual Answers","date":"2023-09-09","arxiv_id":"2309.11508","repositories_listed":0,"syntology":null},{"url":null,"slug":"llmcad-fast-and-scalable-on-device-large","title":"LLMCad: Fast and Scalable On-device Large Language Model Inference","date":"2023-09-08","arxiv_id":"2309.04255","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-pipeline-based-conversational","title":"Enhancing Pipeline-Based Conversational Agents with Large Language Models","date":"2023-09-07","arxiv_id":"2309.03748","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-planning-search-and-memorization","title":"On the Planning, Search, and Memorization Capabilities of Large Language Models","date":"2023-09-05","arxiv_id":"2309.01868","repositories_listed":0,"syntology":null},{"url":null,"slug":"physically-grounded-vision-language-models","title":"Physically Grounded Vision-Language Models for Robotic Manipulation","date":"2023-09-05","arxiv_id":"2309.02561","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompttts-2-describing-and-generating-voices","title":"PromptTTS 2: Describing and Generating Voices with Text Prompt","date":"2023-09-05","arxiv_id":"2309.02285","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-driven-grounding-large-language-model","title":"Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning","date":"2023-09-04","arxiv_id":"2309.01352","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-information-extraction-from","title":"Zero-shot information extraction from radiological reports using ChatGPT","date":"2023-09-04","arxiv_id":"2309.01398","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-on-the-implementation-of-generative","title":"A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture","date":"2023-09-03","arxiv_id":"2309.01105","repositories_listed":0,"syntology":null},{"url":null,"slug":"automl-gpt-large-language-model-for-automl","title":"AutoML-GPT: Large Language Model for AutoML","date":"2023-09-03","arxiv_id":"2309.01125","repositories_listed":0,"syntology":null},{"url":null,"slug":"business-process-text-sketch-automation","title":"Business Process Text Sketch Automation Generation Using Large Language Model","date":"2023-09-03","arxiv_id":"2309.01071","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-ai-model-empowered-multimodal-semantic","title":"Large AI Model Empowered Multimodal Semantic Communications","date":"2023-09-03","arxiv_id":"2309.01249","repositories_listed":0,"syntology":null},{"url":null,"slug":"developing-social-robots-with-empathetic-non","title":"Developing Social Robots with Empathetic Non-Verbal Cues Using Large Language Models","date":"2023-08-31","arxiv_id":"2308.16529","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-subtask-performance-of-multi-modal","title":"Enhancing Subtask Performance of Multi-modal Large Language Model","date":"2023-08-31","arxiv_id":"2308.16474","repositories_listed":0,"syntology":null},{"url":null,"slug":"gpt-has-become-financially-literate-insights","title":"GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice","date":"2023-08-31","arxiv_id":"2309.00649","repositories_listed":0,"syntology":null},{"url":null,"slug":"sarathi-efficient-llm-inference-by","title":"SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills","date":"2023-08-31","arxiv_id":"2308.16369","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactively-robot-action-planning-with","title":"Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model","date":"2023-08-30","arxiv_id":"2308.15684","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-uncertainty-in-answers-from-any","title":"Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness","date":"2023-08-30","arxiv_id":"2308.16175","repositories_listed":0,"syntology":null},{"url":null,"slug":"wall-e-embodied-robotic-waiter-load-lifting","title":"WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model","date":"2023-08-30","arxiv_id":"2308.15962","repositories_listed":0,"syntology":null},{"url":null,"slug":"furchat-an-embodied-conversational-agent","title":"FurChat: An Embodied Conversational Agent using LLMs, Combining Open and Closed-Domain Dialogue with Facial Expressions","date":"2023-08-29","arxiv_id":"2308.15214","repositories_listed":0,"syntology":null},{"url":null,"slug":"lambo-large-language-model-empowered-edge","title":"LAMBO: Large AI Model Empowered Edge Intelligence","date":"2023-08-29","arxiv_id":"2308.15078","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-based-human-robot-collaboration-framework","title":"LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks","date":"2023-08-29","arxiv_id":"2308.14972","repositories_listed":0,"syntology":null},{"url":null,"slug":"radiology-llama2-best-in-class-large-language","title":"Radiology-Llama2: Best-in-Class Large Language Model for Radiology","date":"2023-08-29","arxiv_id":"2309.06419","repositories_listed":0,"syntology":null},{"url":null,"slug":"recmind-large-language-model-powered-agent","title":"RecMind: Large Language Model Powered Agent For Recommendation","date":"2023-08-28","arxiv_id":"2308.14296","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-for-generative-ai-a","title":"Reinforcement Learning for Generative AI: A Survey","date":"2023-08-28","arxiv_id":"2308.14328","repositories_listed":0,"syntology":null},{"url":null,"slug":"1-5-million-materials-narratives-generated-by","title":"1.5 million materials narratives generated by chatbots","date":"2023-08-25","arxiv_id":"2308.13687","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ensemble-approach-to-personalized-real","title":"An Ensemble Approach to Personalized Real Time Predictive Writing for Experts","date":"2023-08-25","arxiv_id":"2308.13576","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompting-a-large-language-model-to-generate","title":"Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages","date":"2023-08-25","arxiv_id":"2308.13479","repositories_listed":0,"syntology":null},{"url":null,"slug":"american-stories-a-large-scale-structured","title":"American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers","date":"2023-08-24","arxiv_id":"2308.12477","repositories_listed":0,"syntology":null},{"url":null,"slug":"financial-news-analytics-using-fine-tuned","title":"Financial News Analytics Using Fine-Tuned Llama 2 GPT Model","date":"2023-08-24","arxiv_id":"2308.13032","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-as-reality-a-co-creative","title":"Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AI","date":"2023-08-24","arxiv_id":"2308.12915","repositories_listed":0,"syntology":null},{"url":"/paper/large-language-model-as-autonomous-decision","slug":"large-language-model-as-autonomous-decision","title":"Rational Decision-Making Agent with Internalized Utility Judgment","date":"2023-08-24","arxiv_id":"2308.12519","repositories_listed":0,"syntology":{"n":15,"n_ran":11,"n_constructed":2,"n_ran_checked":8,"n_instrument":3,"n_unverified":4,"n_honours":4,"n_violates":1,"n_no_contract":3,"n_pointer_only":15,"phrase":"11 ran (of which 2 constructed an object rather than computing a result; 8 with no instrument failure: 4 honoured, 1 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/large-language-model-as-autonomous-decision#ran","syntology_url":"https://syntology.ai/paper/2308.12519","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.12519"}},"official":null}},{"url":null,"slug":"audio-generation-with-multiple-conditional","title":"Audio Generation with Multiple Conditional Diffusion Model","date":"2023-08-23","arxiv_id":"2308.11940","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-the-gap-deciphering-tabular-data","title":"Bridging the Gap: Deciphering Tabular Data Using Large Language Model","date":"2023-08-23","arxiv_id":"2308.11891","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-there-any-social-principle-for-llm-based","title":"Is There Any Social Principle for LLM-Based Agents?","date":"2023-08-22","arxiv_id":"2308.11136","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-language-models-learn-to-listen","title":"Can Language Models Learn to Listen?","date":"2023-08-21","arxiv_id":"2308.10897","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-recommender-systems-with-large","title":"Enhancing Recommender Systems with Large Language Model Reasoning Graphs","date":"2023-08-21","arxiv_id":"2308.10835","repositories_listed":0,"syntology":null},{"url":null,"slug":"foodgpt-a-large-language-model-in-food","title":"FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt","date":"2023-08-20","arxiv_id":"2308.10173","repositories_listed":0,"syntology":null},{"url":null,"slug":"imaginations-of-wall-e-reconstructing","title":"Imaginations of WALL-E : Reconstructing Experiences with an Imagination-Inspired Module for Advanced AI Systems","date":"2023-08-20","arxiv_id":"2308.10354","repositories_listed":0,"syntology":null},{"url":null,"slug":"duaw-data-free-universal-adversarial","title":"DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization","date":"2023-08-19","arxiv_id":"2308.09889","repositories_listed":0,"syntology":null},{"url":null,"slug":"pace-improving-prompt-with-actor-critic","title":"PACE: Improving Prompt with Actor-Critic Editing for Large Language Model","date":"2023-08-19","arxiv_id":"2308.10088","repositories_listed":0,"syntology":null},{"url":null,"slug":"conversational-ontology-alignment-with","title":"Conversational Ontology Alignment with ChatGPT","date":"2023-08-18","arxiv_id":"2308.09217","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrasting-linguistic-patterns-in-human-and","title":"Contrasting Linguistic Patterns in Human and LLM-Generated News Text","date":"2023-08-17","arxiv_id":"2308.09067","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-funcmapper-function-identification-for","title":"LLM-FuncMapper: Function Identification for Interpreting Complex Clauses in Building Codes via LLM","date":"2023-08-17","arxiv_id":"2308.08728","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatlogo-a-large-language-model-driven-hybrid","title":"ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming Language Interface for Agent-based Modeling and Programming","date":"2023-08-16","arxiv_id":"2308.08102","repositories_listed":0,"syntology":null},{"url":null,"slug":"footgpt-a-large-language-model-development","title":"FootGPT : A Large Language Model Development Experiment on a Minimal Setting","date":"2023-08-16","arxiv_id":"2308.08610","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-training-with-large-language-model-based","title":"Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval","date":"2023-08-16","arxiv_id":"2308.08285","repositories_listed":0,"syntology":null},{"url":null,"slug":"emerging-frontiers-exploring-the-impact-of","title":"Emerging Frontiers: Exploring the Impact of Generative AI Platforms on University Quantitative Finance Examinations","date":"2023-08-15","arxiv_id":"2308.07979","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-mini-cex-automatic-evaluation-of-large","title":"LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation","date":"2023-08-15","arxiv_id":"2308.07635","repositories_listed":0,"syntology":null},{"url":null,"slug":"through-the-lens-of-core-competency-survey-on","title":"Through the Lens of Core Competency: Survey on Evaluation of Large Language Models","date":"2023-08-15","arxiv_id":"2308.07902","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagnostic-reasoning-prompts-reveal-the","title":"Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine","date":"2023-08-13","arxiv_id":"2308.06834","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-solution-and-concrete-implementation","title":"A new solution and concrete implementation steps for Artificial General Intelligence","date":"2023-08-12","arxiv_id":"2308.09721","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-large-language-model-enhanced","title":"A Large Language Model Enhanced Conversational Recommender System","date":"2023-08-11","arxiv_id":"2308.06212","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-zero-shot-text-matching-for","title":"Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models","date":"2023-08-11","arxiv_id":"2308.06111","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-guide-human-experts-via","title":"Learning to Guide Human Experts via Personalized Large Language Models","date":"2023-08-11","arxiv_id":"2308.06039","repositories_listed":0,"syntology":null},{"url":null,"slug":"testing-gpt-4-with-wolfram-alpha-and-code","title":"Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems","date":"2023-08-10","arxiv_id":"2308.05713","repositories_listed":0,"syntology":null},{"url":null,"slug":"emotion-conditioned-text-generation-through","title":"Emotion-Conditioned Text Generation through Automatic Prompt Optimization","date":"2023-08-09","arxiv_id":"2308.04857","repositories_listed":0,"syntology":null},{"url":null,"slug":"generate-the-future-of-work-through-ai","title":"\"Generate\" the Future of Work through AI: Empirical Evidence from Online Labor Markets","date":"2023-08-09","arxiv_id":"2308.05201","repositories_listed":0,"syntology":null},{"url":null,"slug":"metroberta-leveraging-traditional-customer","title":"MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model","date":"2023-08-09","arxiv_id":"2308.05012","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-retrieval-augmented-generation-for","title":"Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction","date":"2023-08-08","arxiv_id":"2308.04215","repositories_listed":0,"syntology":null}],"record_sha256":"693828cd9e66c8f4c2eb7be75b8e436a0f7a7715c83da3a44367b44263111515","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}