Works of Findings of the Association for Computational Linguistics
- CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,954 citations
- LEGAL-BERT: The Muppets straight out of Law SchoolIlias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al.2020 · 1,490 citations
- RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,277 citations
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,094 citations
- UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 843 citations
- Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 775 citations
- ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 744 citations
- IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.2020 · 730 citations
- 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.2023 · 684 citations
- Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsJianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.2021 · 582 citations
- PhoBERT: Pre-trained language models for VietnameseDat Quoc Nguyen, Anh Tuan Nguyen2020 · 571 citations
- AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024 · 563 citations
- Document Ranking with a Pretrained Sequence-to-Sequence ModelRodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.2020 · 538 citations
- Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 520 citations
- Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 505 citations
- Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 503 citations
- BBQ: A hand-built bias benchmark for question answeringAlicia Parrish, Angelica Chen, Nikita Nangia, et al.2022 · 487 citations
- ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 451 citations
- GeDi: Generative Discriminator Guided Sequence GenerationBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 444 citations
- GPT-NER: Named Entity Recognition via Large Language ModelsShuhe Wang, Xiaofei Sun, Xiaoya Li, et al.2025 · 436 citations
- Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 426 citations
- The Internal State of an LLM Knows When It's LyingAmos Azaria, Tom Mitchell2023 · 425 citations
- Template-Based Named Entity Recognition Using BARTLeyang Cui, Yu Wu, Jian Liu, et al.2021 · 420 citations
- ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 418 citations
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 406 citations
- LongT5: Efficient Text-To-Text Transformer for Long SequencesMandy Guo, Joshua Ainslie, David Uthus, et al.2022 · 398 citations
- Towards Mitigating LLM Hallucination via Self ReflectionZiwei Ji, Tiezheng Yu, Yan Xu, et al.2023 · 352 citations
- SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesDong Zhang, Shimin Li, Xin Zhang, et al.2023 · 346 citations
- Toxicity in chatgpt: Analyzing persona-assigned language modelsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 344 citations
- Participatory Research for Low-resourced Machine Translation: A Case Study in African LanguagesWilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al.2020 · 333 citations
- ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural LanguageOyvind Tafjord, Bhavana Dalvi, Peter Clark2021 · 331 citations
- Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
- DialogSum: A Real-Life Scenario Dialogue Summarization DatasetYulong Chen, Yang Liu, Liang Chen, et al.2021 · 301 citations
- Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 298 citations
- Want To Reduce Labeling Cost? GPT-3 Can HelpShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 298 citations
- Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 296 citations
- BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaAbhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.2022 · 296 citations
- Evaluating Verifiability in Generative Search EnginesNelson Liu, Tianyi Zhang, Percy Liang2023 · 294 citations
- Text Classification via Large Language ModelsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
- Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
- HuatuoGPT, Towards Taming Language Model to Be a DoctorHongbo Zhang, Junying Chen, Feng Jiang, et al.2023 · 279 citations
- LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
- WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive SummarizationFaisal Ladhak, Esin Durmus, Claire Cardie, et al.2020 · 272 citations
- GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 267 citations
- ConveRT: Efficient and Accurate Conversational Representations from TransformersMatthew Henderson, Iñigo Casanueva, Nikola Mrkšić, et al.2020 · 267 citations
- Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic ParsingXi Victoria Lin, Richard Socher, Caiming Xiong2020 · 261 citations
- TLDR: Extreme Summarization of Scientific DocumentsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 260 citations
- Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
- Few-shot Natural Language Generation for Task-Oriented DialogBaolin Peng, Chenguang Zhu, Chunyuan Li, et al.2020 · 253 citations
- Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersDamai Dai, Yutao Sun, Li Dong, et al.2023 · 252 citations
- Event Extraction as Multi-turn Question AnsweringFayuan Li, Weihua Peng, Yuguang Chen, et al.2020 · 250 citations
- NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
- MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 244 citations
- In-context Examples Selection for Machine TranslationSweta Agrawal, Chunting Zhou, Mike Lewis, et al.2023 · 241 citations
- On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
- Reframing Instructional Prompts to GPTk's LanguageSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 236 citations
- Detecting Hallucinated Content in Conditional Neural Sequence GenerationChunting Zhou, Graham Neubig, Jiatao Gu, et al.2021 · 229 citations
- HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationYichen Jiang, Shikha Bordia, Zheng Zhong, et al.2020 · 221 citations
- Multilingual Translation from Denoising Pre-TrainingYuqing Tang, Chau Tran, Xian Li, et al.2021 · 219 citations
- Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
- Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language ModelsRobert Logan IV, Ivana Balazevic, Eric Wallace, et al.2022 · 215 citations
- MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their TargetsShraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.2021 · 212 citations
- Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Yubo Ma, Yixin Cao, Yong Hong, et al.2023 · 210 citations
- Sources of Hallucination by Large Language Models on Inference TasksNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 208 citations
- Challenges in Detoxifying Language ModelsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 206 citations
- Evaluating Factuality in Generation with Dependency-level EntailmentTanya Goyal, Greg Durrett2020 · 201 citations
- A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
- Generative Data Augmentation for Commonsense ReasoningYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 194 citations
- Towards Making the Most of ChatGPT for Machine TranslationKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
- A Survey on Stance Detection for Mis- and Disinformation IdentificationMomchil Hardalov, Arnav Arora, Preslav Nakov, et al.2022 · 187 citations
- Large Language Models are few(1)-shot Table ReasonersWenhu Chen2023 · 182 citations
- Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm DetectionHongliang Pan, Zheng Lin, Peng Fu, et al.2020 · 181 citations
- Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 177 citations
- On the Risk of Misinformation Pollution with Large Language ModelsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 177 citations
- ContractNLI: A Dataset for Document-level Natural Language Inference for ContractsYuta Koreeda, Christopher Manning2021 · 177 citations
- DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextJinyan Su, Terry Zhuo, Di Wang, et al.2023 · 172 citations
- P-Stance: A Large Dataset for Stance Detection in Political DomainYingjie Li, Tiberiu Sosea, Aditya Sawant, et al.2021 · 169 citations
- Towards Controllable Biases in Language GenerationEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2020 · 166 citations
- Sustainable Modular Debiasing of Language ModelsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
- Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
- The Lessons of Developing Process Reward Models in Mathematical ReasoningZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 155 citations
- Large Language Models with Controllable Working MemoryDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.2023 · 154 citations
- Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
- Context-faithful Prompting for Large Language ModelsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 145 citations
- In-Context Learning for Few-Shot Dialogue State TrackingYushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.2022 · 144 citations
- UNQOVERing Stereotyping Biases via Underspecified QuestionsTao Li, Daniel Khashabi, Tushar Khot, et al.2020 · 144 citations
- Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 142 citations
- In-Context Learning Creates Task VectorsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
- Byte Pair Encoding is Suboptimal for Language Model PretrainingKaj Bostrom, Greg Durrett2020 · 136 citations
- Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
- Few-Shot Self-Rationalization with Natural Language PromptsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
- Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge GraphRui Liu, Zheng Lin, Yutong Tan, et al.2021 · 134 citations
- InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
- Task-aware Retrieval with InstructionsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 131 citations
- Extracting Latent Steering Vectors from Pretrained Language ModelsNishant Subramani, Nivedita Suresh, Matthew Peters2022 · 131 citations
- MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 130 citations
- ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 128 citations
- ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI ConversationZi Lin, Zihan Wang, Yongqi Tong, et al.2023 · 127 citations
- Bitext Mining Using Distilled Sentence Representations for Low-Resource LanguagesKevin Heffernan, Onur Çelebi, Holger Schwenk2022 · 127 citations
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