🧑‍🔬 Who cites David Peng

187 citations of their works from 187 papers of our library (of the 141,840 whose bibliographies we read) · 15 with a page here, the most cited first · ← David Peng

1. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 778 citations
2. Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 525 citations
3. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLiangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 370 citations
4. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He He2022 · 239 citations
5. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
6. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 171 citations
7. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondFangzhi Xu, Qika Lin, Jiawei Han, et al.2023 · 141 citations
8. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
9. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtJundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
10. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsSeonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 94 citations
11. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsMihir Parmar, Nisarg Patel, Neeraj Varshney, et al.2024 · 92 citations
12. LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageMehran Kazemi, Najoung Kim, Deepti Bhatia, et al.2023 · 89 citations
13. Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD ExamplesAbulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, et al.2023 · 82 citations
14. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessArchiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 68 citations
15. GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning CapabilitiesFrancisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.2026 · 1 citation

172 more citing papers of our library have no page here yet.

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