🧑‍🔬 Who cites Frederic Sala

178 citations of their works from 178 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Frederic Sala

1. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
2. A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTarXiv:2302.11382Jules White, Quchen Fu, Sam Hays, et al.2023 · 904 citations
3. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model SizesFindings of the Association for Computational LinguisticsCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.2023 · 690 citations
4. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsarXiv:2308.11462Neel 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 Li2023 · 389 citations
5. Large Language Models are Better Reasoners with Self-VerificationFindings of the Association for Computational LinguisticsYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 304 citations
6. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
7. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving PerformancearXiv:2305.05176Lingjiao Chen, Matei Zaharia, James Zou2023 · 241 citations
8. DataComp: In search of the next generation of multimodal datasetsConference on Neural Information Processing Systems (NeurIPS)Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.2023 · 224 citations
9. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Omar Shaikh, Hongxin Zhang, William Held, et al.2023 · 192 citations
10. ART: Automatic multi-step reasoning and tool-use for large language modelsarXiv:2303.09014Bhargavi Paranjape, Scott Lundberg, Sameer Singh, et al.2023 · 154 citations
11. Ask Me Anything: A simple strategy for prompting language modelsarXiv:2210.02441Simran Arora, Avanika Narayan, Mayee F. Chen, et al.2022 · 154 citations
12. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
13. Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesProceedings of the VLDB EndowmentSimran Arora, Brandon Yang, Sabri Eyuboglu, et al.2023 · 94 citations
14. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Ling Yang, Zhaochen Yu, Tianjun Zhang, et al.2024 · 67 citations
15. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
16. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story EvaluationTransactions of the Association for Computational Linguistics (TACL)Cyril Chhun, Fabian M. Suchanek, Chloé Clavel2024 · 41 citations
17. Are Large Language Models Robust Coreference Resolvers?arXiv:2305.14489Nghia T. Le, Alan Ritter2023 · 26 citations
18. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
19. Survey on English Entity Linking on WikidataarXiv:2112.01989Cedric Möller, Jens Lehmann, Ricardo Usbeck2021 · 10 citations
20. Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
21. GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question AnsweringFindings of the Association for Computational LinguisticsGuanran Luo, Wentao Qiu, Zhongquan Jian, et al.2026 · 6 citations
22. Rethinking Prompt Optimizers: From Prompt Merits to OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zixiao Zhu, Hanzhang Zhou, Zijian Feng, et al.2026 · 3 citations
23. Enhancing the Safety of Medical Vision-Language Models by Synthetic DemonstrationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani2026 · 1 citation
24. SemEval-2026 Task 12: Knowledge Graph with hyperbolic embedding in Abductive Event ReasoningInternational Workshop on Semantic Evaluation (SemEval)Mingkai Wang, Varun Ojha, Huizhi Liang2026 · 1 citation
25. GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Qizhuo Xie, Yunhui Liu, Yu Xing, et al.2026
26. Hemolix.TabGen: Optimized Table Generation from DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Gyanendra Shrestha, Todor Ivanov, Karthik Vemireddy, et al.2026
27. MAGIC: Deep Geometric Evolution with Structural Consensus for Temporal Knowledge Graph ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chengao Liu, Yuan Li, Yingze Wang, et al.2026
28. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026

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