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Papers of 2023 — page 3

502 papers · all years

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Instruction Tuning with GPT-4Baolin Peng, Chunyuan Li, Pengcheng He, et al.arXiv:2304.03277 Instruction-Following Evaluation for Large Language ModelsJeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.arXiv:2311.07911 InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionXiao Wang, Weikang Zhou, Can Zu, et al.arXiv:2304.08085 InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksZhe Chen, Jiannan Wu, Wenhai Wang, et al.arXiv:2312.14238 Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change AnalysisMario Giulianelli, Iris Luden, Raquel Fernandez, et al.English Introducing DictaLM -- A Large Generative Language Model for Modern HebrewShaltiel Shmidman, Avi Shmidman, Amir David Nissan Cohen, et al.Modern Hebrew Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.arXiv:2302.06476 Is ChatGPT a Good NLG Evaluator? A Preliminary StudyJiaan Wang, Yunlong Liang, Fandong Meng, et al.arXiv:2303.04048 Is ChatGPT A Good Translator? Yes With GPT-4 As The EngineWenxiang Jiao, Wenxuan Wang, Jen-tse Huang, et al.arXiv:2301.08745 Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsWeiwei Sun, Lingyong Yan, Xinyu Ma, et al.arXiv:2304.09542 Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.arXiv:2305.01210 ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and DevelopmentYanir Marmor, Kinneret Misgav, Yair LifshitzModern Hebrew Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsZeming Wei, Yifei Wang, Ang Li, et al.arXiv:2310.06387 Jailbreaking Black Box Large Language Models in Twenty QueriesPatrick Chao, Alexander Robey, Edgar Dobriban, et al.arXiv:2310.08419 Jailbreaking ChatGPT via Prompt Engineering: An Empirical StudyYi Liu, Gelei Deng, Zhengzi Xu, et al.arXiv:2305.13860 Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob SteinhardtarXiv:2307.02483 Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.arXiv:2308.16149 JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong WangarXiv:2310.17631 Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringJinheon Baek, Alham Fikri Aji, Amir SaffariarXiv:2306.04136 Kosmos-2: Grounding Multimodal Large Language Models to the WorldZhiliang Peng, Wenhui Wang, Li Dong, et al.arXiv:2306.14824 L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsChenxin An, Shansan Gong, Ming Zhong, et al.arXiv:2307.11088 Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningLean Wang, Lei Li, Damai Dai, et al.arXiv:2305.14160 Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong, Wenhui Wang, et al.arXiv:2302.14045 Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchLe Yu, Bowen Yu, Haiyang Yu, et al.arXiv:2311.03099 Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleerarXiv:2303.17491 Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez, et al.arXiv:2305.04388 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, et al.arXiv:2306.15895 · NeurIPS 2023 Large Language Model UnlearningYuanshun Yao, Xiaojun Xu, Yang LiuarXiv:2310.10683 Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.Findings of the Association for Computational…Large Language Models Are Reasoning TeachersNamgyu Ho, Laura Schmid, Se-Young YunProceedings of the 61st Annual Meeting of the…Large Language Models as OptimizersChengrun Yang, Xuezhi Wang, Yifeng Lu, et al.arXiv:2309.03409 Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.arXiv:2302.00093 Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.Proceedings of the 2023 Conference on Empirical…Large Language Models Cannot Self-Correct Reasoning YetJie Huang, Xinyun Chen, Swaroop Mishra, et al.arXiv:2310.01798 Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistMarzena Karpinska, Mohit IyyerProceedings of the Eighth Conference on Machine…Large Language Models for Information Retrieval: A SurveyYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong WenarXiv:2308.07107 Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam HruschkaarXiv:2308.11483 Large Language Models with Controllable Working MemoryDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.Findings of the Association for Computational…Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.arXiv:2303.03846 LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.arXiv:2309.16289 Lawyer LLaMA Technical ReportQuzhe Huang, Mingxu Tao, Chen Zhang, et al.arXiv:2305.15062 LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsKaiyu Yang, Aidan M. Swope, Alex Gu, et al.arXiv:2306.15626 Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah GoodmanarXiv:2304.08467 LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsNeel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua LiarXiv:2308.11462 Let's Verify Step by StepHunter Lightman, Vineet Kosaraju, Yura Burda, et al.arXiv:2305.20050 LEVER: Learning to Verify Language-to-Code Generation with ExecutionAnsong Ni, Srini Iyer, Dragomir Radev, et al.arXiv:2302.08468 LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.arXiv:2310.15164…LingMess: Linguistically Informed Multi Expert Scorers for Coreference ResolutionShon Otmazgin, Arie Cattan, Yoav GoldbergEnglish Llama Guard: LLM-based Input-Output Safeguard for Human-AI ConversationsHakan Inan, Kartikeya Upasani, Jianfeng Chi, et al.arXiv:2312.06674 LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionRenrui Zhang, Jiaming Han, Chris Liu, et al.arXiv:2303.16199 LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayChunyuan Li, Cliff Wong, Sheng Zhang, et al.arXiv:2306.00890 Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.arXiv:2310.10631 LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyBo Liu, Yuqian Jiang, Xiaohan Zhang, et al.arXiv:2304.11477 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsZhiqiang Hu, Lei Wang, Yihuai Lan, et al.Proceedings of the 2023 Conference on Empirical…LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionDongfu Jiang, Xiang Ren, Bill Yuchen LinProceedings of the 61st Annual Meeting of the…LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsYen-Ting Lin, Yun-Nung ChenarXiv:2305.13711 LLM-Pruner: On the Structural Pruning of Large Language ModelsXinyin Ma, Gongfan Fang, Xinchao WangarXiv:2305.11627 LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsHuiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.Proceedings of the 2023 Conference on Empirical…LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetLianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.arXiv:2309.11998 Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLiangming Pan, Alon Albalak, Xinyi Wang, et al.arXiv:2305.12295 LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.arXiv:2308.14508 LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt CompressionHuiqiang Jiang, Qianhui Wu, Xufang Luo, et al.arXiv:2310.06839 LongLoRA: Efficient Fine-tuning of Long-Context Large Language ModelsYukang Chen, Shengju Qian, Haotian Tang, et al.arXiv:2309.12307 LooGLE: Can Long-Context Language Models Understand Long Contexts?Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.arXiv:2311.04939 Lost in the Middle: How Language Models Use Long ContextsNelson F. Liu, Kevin Lin, John Hewitt, et al.arXiv:2307.03172 Low-Resource Languages Jailbreak GPT-4Zheng-Xin Yong, Cristina Menghini, Stephen H. BacharXiv:2310.02446 MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.arXiv:2309.04662 Making Language Models Better Reasoners with Step-Aware VerifierYifei Li, Zeqi Lin, Shizhuo Zhang, et al.Proceedings of the 61st Annual Meeting of the…Making Retrieval-Augmented Language Models Robust to Irrelevant ContextOri Yoran, Tomer Wolfson, Ori Ram, et al.arXiv:2310.01558 MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningXiang Yue, Xingwei Qu, Ge Zhang, et al.arXiv:2309.05653 Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual CompatibilityJulia Bonn, Skatje Myers, Jens E. L. Van Gysel, et al.Machine translation Mapping Explicit and Implicit Discourse Relations between the RST-DT and the PDTB 3.0Nelson Filipe Costa, Nadia Sheikh, Leila KosseimEnglish Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language ModelsMyra Cheng, Esin Durmus, Dan JurafskyProceedings of the 61st Annual Meeting of the…MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningKe Wang, Houxing Ren, Aojun Zhou, et al.arXiv:2310.03731 MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.Findings of the Association for Computational…Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Alexis Chevalier, et al.arXiv:2301.13867 · NeurIPS 2023 Datasets and…Mathematical Discoveries from Program Search with Large Language ModelsBernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, et al.Nature 625 MathPrompter: Mathematical Reasoning using Large Language ModelsShima Imani, Liang Du, Harsh ShrivastavaProceedings of the 61st Annual Meeting of the…MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.arXiv:2310.02255 Meaning Representation of English Prepositional Phrase Roles: SNACS Supersenses vs. Tectogrammatical FunctorsWesley Scivetti, Nathan SchneiderEnglish Measuring Attribution in Natural Language Generation ModelsHannah Rashkin, Vitaly Nikolaev, Matthew Lamm, et al.Computational Linguistics Measuring Faithfulness in Chain-of-Thought ReasoningTamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.arXiv:2307.13702 Measuring Fine-Grained Semantic Equivalence with Abstract Meaning RepresentationShira Wein, Zhuxin Wang, Nathan SchneiderMachine translation MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training DataTianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, et al.arXiv:2304.08247 MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsZeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.arXiv:2311.16079 MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.arXiv:2303.12528 MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkSirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.arXiv:2308.00352 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsLonghui Yu, Weisen Jiang, Han Shi, et al.arXiv:2309.12284 MetricX-23: The Google Submission to the WMT 2023 Metrics Shared TaskJuraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.Proceedings of the Eighth Conference on Machine…MIMIC-IV, a freely accessible electronic health record datasetAlistair E. W. Johnson, Lucas Bulgarelli, Lu Shen, et al.Scientific Data Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, et al.arXiv:2306.06070 MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsDeyao Zhu, Jun Chen, Xiaoqian Shen, et al.arXiv:2304.10592 MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningJun Chen, Deyao Zhu, Xiaoqian Shen, et al.arXiv:2310.09478 MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.arXiv:2306.08543 MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackXingyao Wang, Zihan Wang, Jiateng Liu, et al.arXiv:2309.10691 MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse LanguagesXinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.Research library Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningFuxiao Liu, Kevin Lin, Linjie Li, et al.arXiv:2306.14565 Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingSicong Leng, Hang Zhang, Guanzheng Chen, et al.arXiv:2311.16922 MLAgentBench: Evaluating Language Agents on Machine Learning ExperimentationQian Huang, Jian Vora, Percy Liang, et al.arXiv:2310.03302 MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesWeihao Yu, Zhengyuan Yang, Linjie Li, et al.arXiv:2308.02490

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