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Papers of 2023 — page 2

502 papers · all years

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Culturally Aware Natural Language InferenceJing Huang, Diyi YangFindings of the Association for Computational…CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.arXiv:2309.09400 DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi YangEnglish Data-driven Parsing Evaluation for Child-Parent InteractionsZoey Liu, Emily Prud'hommeauxEnglish DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.arXiv:2306.11698 Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.arXiv:2306.03872 Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in EpigraphyAndrei C. Aioanei, Regine Hunziker-Rodewald, Konstantin Klein, et al.Ancient Hebrew DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.arXiv:2311.03191 DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer ModelsSam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, et al.arXiv:2309.14509 Dependency Dialogue Acts — Annotation Scheme and Case StudyJon Z. Cai, Brendan King, Margaret Perkoff, et al.English Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsZihao Wang, Shaofei Cai, Guanzhou Chen, et al.arXiv:2302.01560 DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvatureEric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.arXiv:2301.11305 Detecting Language Model Attacks with PerplexityGabriel Alon, Michael KamfonasarXiv:2308.14132 DictaBERT: A State-of-the-Art BERT Suite for Modern HebrewShaltiel Shmidman, Avi Shmidman, Moshe KoppelModern Hebrew Difficulties in Handling Mathematical Expressions in Universal DependenciesLauren LevineEnglish DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-CorrectionMohammadreza Pourreza, Davood RafieiarXiv:2304.11015 DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.arXiv:2304.07193 Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under DiscussionWei-Jen Ko, Yating Wu, Cutter Dalton, et al.English Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya SachanFindings of the Association for Computational…Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model SizesCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.Findings of the Association for Computational…Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.Proceedings of the 2023 Conference on Empirical…Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.Ancient Hebrew Document-Level Machine Translation with Large Language ModelsLongyue Wang, Chenyang Lyu, Tianbo Ji, et al.Proceedings of the 2023 Conference on Empirical…DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsYung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.arXiv:2309.03883 DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.arXiv:2310.03714 Effective Long-Context Scaling of Foundation ModelsWenhan Xiong, Jingyu Liu, Igor Molybog, et al.arXiv:2309.16039 Efficient and Effective Text Encoding for Chinese LLaMA and AlpacaYiming Cui, Ziqing Yang, Xin YaoarXiv:2304.08177 Elaborative Simplification as Implicit Questions Under DiscussionYating Wu, William Sheffield, Kyle Mahowald, et al.English Eliciting Latent Predictions from Transformers with the Tuned LensNora Belrose, Igor Ostrovsky, Lev McKinney, et al.arXiv:2303.08112 Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu, et al.Proceedings of the 2023 Conference on Empirical…Encoding Discourse Structure: Comparison of RST and QUDSara Shahmohammadi, Hannah Seemann, Manfred Stede, et al.English Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao, et al.arXiv:2305.19118 Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsNing Ding, Yulin Chen, Bokai Xu, et al.arXiv:2305.14233 Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyZhihong Shao, Yeyun Gong, Yelong Shen, et al.arXiv:2305.15294 Evaluating Large Language Models in Theory of Mind TasksMichal KosinskiarXiv:2302.02083 Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.arXiv:2310.19736 Evaluating Object Hallucination in Large Vision-Language ModelsYifan Li, Yifan Du, Kun Zhou, et al.Proceedings of the 2023 Conference on Empirical…Evaluating Open-Domain Question Answering in the Era of Large Language ModelsEhsan Kamalloo, Nouha Dziri, Charles Clarke, et al.Proceedings of the 61st Annual Meeting of the…Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.arXiv:2304.03439 Evaluating Verifiability in Generative Search EnginesNelson Liu, Tianyi Zhang, Percy LiangFindings of the Association for Computational…Exclaiming non-sententially: exclamative sluices and the (non-elliptical) nature of ellipsis constructionsJonathan Ginzburg, Jong-Bok KimEnglish Expectations over Unspoken Alternatives Predict Pragmatic InferencesJennifer Hu, Roger Levy, Judith Degen, et al.English Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.arXiv:2309.01029 Explicit Morphological Knowledge Improves Pre-training of Language Models for HebrewEylon Gueta, Omer Goldman, Reut TsarfatyModern Hebrew Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and OpportunitiesRiccardo Orlando, Simone Conia, Roberto NavigliEnglish FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosI-Chun Chern, Steffi Chern, Shiqi Chen, et al.arXiv:2307.13528 FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.Proceedings of the 2023 Conference on Empirical…Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.arXiv:2305.18654 Faithful Chain-of-Thought ReasoningQing Lyu, Shreya Havaldar, Adam Stein, et al.Proceedings of the 13th International Joint…Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvatureGuangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.arXiv:2310.05130 Feature Deletion by Head Movement: A New Solution to Agreement Asymmetries in Modern Standard ArabicAnke HimmelreichSemitic languages Findings of the WMT 2023 Shared Task on Quality EstimationFrederic Blain, Chrysoula Zerva, Ricardo Rei, et al.Proceedings of the Eighth Conference on Machine…Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.arXiv:2306.01693 Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.arXiv:2310.03693 Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.arXiv:2311.08401 Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, et al.arXiv:2310.08319 FinGPT: Open-Source Financial Large Language ModelsHongyang Yang, Xiao-Yang Liu, Christina Dan WangarXiv:2306.06031 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUYing Sheng, Lianmin Zheng, Binhang Yuan, et al.arXiv:2303.06865 FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationTu Vu, Mohit Iyyer, Xuezhi Wang, et al.arXiv:2310.03214 From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsShangbin Feng, Chan Young Park, Yuhan Liu, et al.Proceedings of the 61st Annual Meeting of the…From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningMing Li, Yong Zhang, Zhitao Li, et al.arXiv:2308.12032 FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving PerformanceLingjiao Chen, Matei Zaharia, James ZouarXiv:2305.05176 GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.arXiv:2311.12983 GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4Tom Kocmi, Christian FedermannProceedings of the Eighth Conference on Machine…Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.arXiv:2312.11805 Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.arXiv:2310.05470 GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic EvaluationTatsuya Aoyama, Shabnam Behzad, Luke Gessler, et al.English Germanic syntax: A constraint-based viewStefan MüllerEnglish GlotLID: Language Identification for Low-Resource LanguagesAmir Hossein Kargaran, Ayyoob Imani, François Yvon, et al.Findings of the Association for Computational…Gorilla: Large Language Model Connected with Massive APIsShishir G. Patil, Tianjun Zhang, Xin Wang, et al.arXiv:2305.15334 GPQA: A Graduate-Level Google-Proof Q&A BenchmarkDavid Rein, Betty Li Hou, Asa Cooper Stickland, et al.arXiv:2311.12022 GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherYouliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.arXiv:2308.06463 GPT-4 Technical ReportOpenAI, Josh Achiam, Steven Adler, et al.arXiv:2303.08774 GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsJiahao Yu, Xingwei Lin, Zheng Yu, et al.arXiv:2309.10253 GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.Proceedings of the 2023 Conference on Empirical…Grammatical theory: From transformational grammar to constraint-based approachesStefan MüllerEnglish Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionShilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.arXiv:2303.05499 Hallucinations in Large Multilingual Translation ModelsNuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.Transactions of the Association for…HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.arXiv:2310.14566 HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.arXiv:2305.11747 Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.arXiv:2304.13712 Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsTarek Naous, Michael J. Ryan, Alan Ritter, et al.arXiv:2305.14456 HeGeL: A Novel Dataset for Geo-Location from Hebrew TextTzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.Modern Hebrew HeQ: a Large and Diverse Hebrew Reading Comprehension BenchmarkAmir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.Modern Hebrew HeRo: RoBERTa and Longformer Hebrew Language ModelsVitaly Shalumov, Harel HaskeyModern Hebrew Hexatagging: Projective Dependency Parsing as TaggingAfra Amini, Tianyu Liu, Ryan CotterellEnglish How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and DetectionBiyang Guo, Xin Zhang, Ziyuan Wang, et al.arXiv:2301.07597 How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre VariengienarXiv:2305.00586 How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.arXiv:2306.04751 How Language Model Hallucinations Can SnowballMuru Zhang, Ofir Press, William Merrill, et al.arXiv:2305.13534 HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan, et al.arXiv:2303.17580 IfQA: A Dataset for Open-domain Question Answering under Counterfactual PresuppositionsWenhao Yu, Meng Jiang, Peter Clark, et al.English ImageBind: One Embedding Space To Bind Them AllRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.arXiv:2305.05665 Improved Baselines with Visual Instruction TuningHaotian Liu, Chunyuan Li, Yuheng Li, et al.arXiv:2310.03744 Improving Factuality and Reasoning in Language Models through Multiagent DebateYilun Du, Shuang Li, Antonio Torralba, et al.arXiv:2305.14325 In-context Examples Selection for Machine TranslationSweta Agrawal, Chunting Zhou, Mike Lewis, et al.Findings of the Association for Computational…IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesJay Gala, Pranjal A. Chitale, Raghavan AK, et al.arXiv:2305.16307 Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li, Oam Patel, Fernanda Viegas, et al.arXiv:2306.03341 InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningWenliang Dai, Junnan Li, Dongxu Li, et al.arXiv:2305.06500 Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.arXiv:2308.10792

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