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Works of Research Triangle

120 · page 1 of 2 · the most cited first · ← Research Triangle

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  1. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  2. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
  3. Modeling Context in Referring ExpressionsLecture notes in computer scienceLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,203 citations
  4. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
  5. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
  6. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
  7. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  8. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsarXiv:2406.15877Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 176 citations
  9. Measuring the Intrinsic Dimension of Objective LandscapesarXiv:1804.08838Chunyuan Li, Heerad Farkhoor, Rosanne Liu, et al.2018 · 143 citations
  10. Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsarXiv:2310.00754Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al.2023 · 134 citations
  11. Fine-tuning Language Models for FactualityarXiv:2311.08401Katherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 127 citations
  12. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  13. Large Language Models are Inconsistent and Biased EvaluatorsarXiv:2405.01724Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara2024 · 91 citations
  14. Formalizing and Benchmarking Prompt Injection Attacks and DefensesarXiv:2310.12815Yupei Liu, Yuqi Jia, Runpeng Geng, et al.2023 · 84 citations
  15. Punica: Multi-Tenant LoRA ServingMLSys 2024Lequn Chen, Zihao Ye, Yongji Wu, et al.2023 · 81 citations
  16. 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
  17. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  18. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsarXiv:2411.14199Akari Asai, Jacqueline He, Rulin Shao, et al.2024 · 62 citations
  19. On Generalization in Coreference ResolutionShubham Toshniwal, Patrick Xia, Sam Wiseman, et al.2021 · 62 citations
  20. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentarXiv:2410.09893Enyu Zhou, Guodong Zheng, Binghai Wang, et al.2024 · 30 citations
  21. Sound change and coarticulatory variability involving English /ɹ/Glossa a journal of general linguisticsBridget J. Smith, Jeff Mielke, Lyra Magloughlin, et al.2019 · 18 citations
  22. Does Commonsense help in detecting Sarcasm?Workshop on Insights from Negative Results in NLPSomnath Basu Roy Chowdhury, Snigdha Chaturvedi2021 · 17 citations
  23. Zero and Few-shot Semantic Parsing with Ambiguous InputsarXiv:2306.00824Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme2023 · 15 citations
  24. HATFormer: Historic Handwritten Arabic Text Recognition with TransformersarXiv:2410.02179Adrian Chan, Anupam Mijar, Mehreen Saeed, et al.2024 · 5 citations
  25. Critical biblical studies via word frequency analysis: unveiling text authorshipShira Faigenbaum-Golovin, Alon Kipnis, Axel Buhler, et al.2024 · 3 citations
  26. 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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