🏙️ Works of Research Triangle from 2023

19 works · the most cited first · ← Research Triangle

1. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
2. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 254 citations
3. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Archiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 184 citations
4. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
5. Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsarXiv:2310.00754Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al.2023 · 134 citations
6. Fine-tuning Language Models for FactualityarXiv:2311.08401Katherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 127 citations
7. Formalizing and Benchmarking Prompt Injection Attacks and DefensesarXiv:2310.12815Yupei Liu, Yuqi Jia, Runpeng Geng, et al.2023 · 84 citations
8. Selectively Answering Ambiguous QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP)Jeremy Cole, Michael Zhang, Daniel Gillick, et al.2023 · 84 citations
9. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128Yue Huang, Jiawen Shi, Yuan Li, et al.2023 · 81 citations
10. Punica: Multi-Tenant LoRA ServingMLSys 2024Lequn Chen, Zihao Ye, Yongji Wu, et al.2023 · 81 citations
11. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 73 citations
12. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
13. Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Peter Hase, Mona Diab, Asli Celikyilmaz, et al.2023 · 51 citations
14. Seq2seq is All You Need for Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Wenzheng Zhang, Sam Wiseman, Karl Stratos2023 · 32 citations
15. Zero and Few-shot Semantic Parsing with Ambiguous InputsarXiv:2306.00824Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme2023 · 15 citations
16. Improving Automated Prediction of English Lexical Blends Through the Use of Observable Linguistic FeaturesWorkshop of the Special Interest Group on Computational Morphology and Phonology (SIGMORPHON)Jarem Saunders2023 · 3 citations
17. Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning ClassifiersFindings of the Association for Computational LinguisticsVikram Kumaran, Jonathan Rowe, Bradford Mott, et al.2023 · 3 citations
18. Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiyuan Li, Rakesh Menon, Sayan Ghosh, et al.2023 · 2 citations
19. The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet GenerationEdwin Agnew, Michelle Qiu, Lily Zhu, et al.2023 · 2 citations

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