{"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/124","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":124,"pages_in_order":177,"rows_per_page":100,"rows":[12301,12400],"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/123","next":"/task/language-modelling/papers/125","papers":[{"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":"generative-ai-text-classification-using","title":"Generative AI Text Classification using Ensemble LLM Approaches","date":"2023-09-14","arxiv_id":"2309.07755","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-attention-based-encoder-decoder-model","title":"Hybrid Attention-based Encoder-decoder Model for Efficient Language Model Adaptation","date":"2023-09-14","arxiv_id":"2309.07369","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-class-based-language-model-for","title":"Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer","date":"2023-09-14","arxiv_id":"2309.07648","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-contextual-information-for","title":"Leveraging Contextual Information for Effective Entity Salience Detection","date":"2023-09-14","arxiv_id":"2309.07990","repositories_listed":0,"syntology":null},{"url":null,"slug":"perplm-personalized-fine-tuning-of-pretrained","title":"PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts","date":"2023-09-14","arxiv_id":"2309.07727","repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-to-speech-translation-with-discrete","title":"Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer","date":"2023-09-14","arxiv_id":"2309.07566","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-classification-of-cancer-clinical-trial","title":"Text Classification of Cancer Clinical Trial Eligibility Criteria","date":"2023-09-14","arxiv_id":"2309.07812","repositories_listed":0,"syntology":null},{"url":null,"slug":"voxtlm-unified-decoder-only-models-for","title":"Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks","date":"2023-09-14","arxiv_id":"2309.07937","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":"2309-06057","title":"RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair","date":"2023-09-12","arxiv_id":"2309.06057","repositories_listed":0,"syntology":null},{"url":null,"slug":"2309-06112","title":"Characterizing Latent Perspectives of Media Houses Towards Public Figures","date":"2023-09-12","arxiv_id":"2309.06112","repositories_listed":0,"syntology":null},{"url":null,"slug":"2309-06126","title":"AstroLLaMA: Towards Specialized Foundation Models in Astronomy","date":"2023-09-12","arxiv_id":"2309.06126","repositories_listed":0,"syntology":null},{"url":null,"slug":"do-generative-large-language-models-need","title":"Do Generative Large Language Models need billions of parameters?","date":"2023-09-12","arxiv_id":"2309.06589","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":"recovering-from-privacy-preserving-masking","title":"Recovering from Privacy-Preserving Masking with Large Language Models","date":"2023-09-12","arxiv_id":"2309.08628","repositories_listed":0,"syntology":null},{"url":null,"slug":"conflator-incorporating-switching-point-based","title":"CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling","date":"2023-09-11","arxiv_id":"2309.05270","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":"detecting-natural-language-biases-with-prompt","title":"Detecting Natural Language Biases with Prompt-based Learning","date":"2023-09-11","arxiv_id":"2309.05227","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncovering-mesa-optimization-algorithms-in","title":"Uncovering mesa-optimization algorithms in Transformers","date":"2023-09-11","arxiv_id":"2309.05858","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":"an-appraisal-based-chain-of-emotion","title":"An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language Model Game Agents","date":"2023-09-10","arxiv_id":"2309.05076","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":"bilma-bidirectional-local-matching-for-text","title":"BiLMa: Bidirectional Local-Matching for Text-based Person Re-identification","date":"2023-09-09","arxiv_id":"2309.04675","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":"context-aware-prompt-tuning-for-vision","title":"Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment","date":"2023-09-08","arxiv_id":"2309.04158","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-distillation-empowered-digital-twin","title":"Knowledge Distillation-Empowered Digital Twin for Anomaly Detection","date":"2023-09-08","arxiv_id":"2309.04616","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":"an-anchor-learning-approach-for-citation","title":"An Anchor Learning Approach for Citation Field Learning","date":"2023-09-07","arxiv_id":"2309.03559","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":"exploring-an-lm-to-generate-prolog-predicates","title":"Exploring an LM to generate Prolog Predicates from Mathematics Questions","date":"2023-09-07","arxiv_id":"2309.03667","repositories_listed":0,"syntology":null},{"url":null,"slug":"lanser-language-model-supported-speech","title":"LanSER: Language-Model Supported Speech Emotion Recognition","date":"2023-09-07","arxiv_id":"2309.03978","repositories_listed":0,"syntology":null},{"url":null,"slug":"cve-driven-attack-technique-prediction-with","title":"CVE-driven Attack Technique Prediction with Semantic Information Extraction and a Domain-specific Language Model","date":"2023-09-06","arxiv_id":"2309.02785","repositories_listed":0,"syntology":null},{"url":null,"slug":"etp-learning-transferable-ecg-representations","title":"ETP: Learning Transferable ECG Representations via ECG-Text Pre-training","date":"2023-09-06","arxiv_id":"2309.07145","repositories_listed":0,"syntology":null},{"url":null,"slug":"dialog-action-aware-transformer-for-dialog","title":"Dialog Action-Aware Transformer for Dialog Policy Learning","date":"2023-09-05","arxiv_id":"2309.02240","repositories_listed":0,"syntology":null},{"url":null,"slug":"do-you-trust-chatgpt-perceived-credibility-of","title":"Do You Trust ChatGPT? -- Perceived Credibility of Human and AI-Generated Content","date":"2023-09-05","arxiv_id":"2309.02524","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-models-for-novelty-detection-in","title":"Language Models for Novelty Detection in System Call Traces","date":"2023-09-05","arxiv_id":"2309.02206","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":"code-representation-pre-training-with","title":"Code Representation Pre-training with Complements from Program Executions","date":"2023-09-04","arxiv_id":"2309.09980","repositories_listed":0,"syntology":null},{"url":"/paper/diversemotion-towards-diverse-human-motion","slug":"diversemotion-towards-diverse-human-motion","title":"DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion","date":"2023-09-04","arxiv_id":"2309.01372","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":"softmax-bias-correction-for-quantized","title":"Softmax Bias Correction for Quantized Generative Models","date":"2023-09-04","arxiv_id":"2309.01729","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":"studying-the-impacts-of-pre-training-using","title":"Studying the impacts of pre-training using ChatGPT-generated text on downstream tasks","date":"2023-09-02","arxiv_id":"2309.05668","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-rlhf-reducing-the-memory-usage-of","title":"Efficient RLHF: Reducing the Memory Usage of PPO","date":"2023-09-01","arxiv_id":"2309.00754","repositories_listed":0,"syntology":null},{"url":null,"slug":"factllama-optimizing-instruction-following","title":"FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking","date":"2023-09-01","arxiv_id":"2309.00240","repositories_listed":0,"syntology":null},{"url":"/paper/long-term-memorability-on-advertisements","slug":"long-term-memorability-on-advertisements","title":"Long-Term Ad Memorability: Understanding & Generating Memorable Ads","date":"2023-09-01","arxiv_id":"2309.00378","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":"vilta-enhancing-vision-language-pre-training","title":"ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation","date":"2023-08-31","arxiv_id":"2308.16689","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-multi-modal-contextual-knowledge","title":"Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection","date":"2023-08-30","arxiv_id":"2308.15846","repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-aware-anatomical-tokens-for-chest-x","title":"Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting","date":"2023-08-30","arxiv_id":"2308.15961","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-and-analyzing-entity-level","title":"Quantifying and Analyzing Entity-level Memorization in Large Language Models","date":"2023-08-30","arxiv_id":"2308.15727","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":"toddlerberta-exploiting-babyberta-for-grammar","title":"ToddlerBERTa: Exploiting BabyBERTa for Grammar Learning and Language Understanding","date":"2023-08-30","arxiv_id":"2308.16336","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":"a-framework-for-responsible-development-of","title":"The Responsible Development of Automated Student Feedback with Generative AI","date":"2023-08-29","arxiv_id":"2308.15334","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":"is-it-an-i-or-an-l-test-time-adaptation-of","title":"Is it an i or an l: Test-time Adaptation of Text Line Recognition Models","date":"2023-08-29","arxiv_id":"2308.15037","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":"large-language-models-on-the-chessboard-a","title":"Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skills","date":"2023-08-29","arxiv_id":"2308.15118","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":"planning-with-logical-graph-based-language","title":"Planning with Logical Graph-based Language Model for Instruction Generation","date":"2023-08-26","arxiv_id":"2308.13782","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":"decoupled-structure-for-improved-adaptability","title":"Decoupled Structure for Improved Adaptability of End-to-End Models","date":"2023-08-25","arxiv_id":"2308.13345","repositories_listed":0,"syntology":null},{"url":null,"slug":"entropyrank-unsupervised-keyphrase-extraction","title":"EntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression","date":"2023-08-25","arxiv_id":"2308.13399","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":"partseg-few-shot-part-segmentation-via-part","title":"PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning","date":"2023-08-24","arxiv_id":"2308.12757","repositories_listed":0,"syntology":null},{"url":null,"slug":"separating-the-human-touch-from-ai-generated","title":"An Information-Theoretic Approach for Detecting Edits in AI-Generated Text","date":"2023-08-24","arxiv_id":"2308.12747","repositories_listed":0,"syntology":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":"hybrid-retrieval-and-multi-stage-text-ranking","title":"Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track","date":"2023-08-23","arxiv_id":"2308.12039","repositories_listed":0,"syntology":null},{"url":null,"slug":"furnishing-sound-event-detection-with","title":"Leveraging Language Model Capabilities for Sound Event Detection","date":"2023-08-22","arxiv_id":"2308.11530","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":"random-word-data-augmentation-with-clip-for","title":"Random Word Data Augmentation with CLIP for Zero-Shot Anomaly Detection","date":"2023-08-22","arxiv_id":"2308.11119","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-an-on-device-agent-for-text-rewriting","title":"Towards an On-device Agent for Text Rewriting","date":"2023-08-22","arxiv_id":"2308.11807","repositories_listed":0,"syntology":null},{"url":null,"slug":"tryage-real-time-intelligent-routing-of-user","title":"Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models","date":"2023-08-22","arxiv_id":"2308.11601","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":"cantnlp-lt-edi-ranlp-2023-homophobia","title":"cantnlp@LT-EDI-2023: Homophobia/Transphobia Detection in Social Media Comments using Spatio-Temporally Retrained Language Models","date":"2023-08-20","arxiv_id":"2308.10370","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}],"record_sha256":"34ba6cdf54bafaba28d813389650e026fea454755c08f6edc6a815e4ba2ab905","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}