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Denny Zhou — all works

43 works · ← Denny Zhou

  1. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsarXiv:2201.11903Jason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,499 citations
  2. Scaling Instruction-Finetuned Language Models ↗arXiv:2210.11416 · no summary yetHyung Won Chung et al.2022 · 3,392 citations
  3. Self-Consistency Improves Chain of Thought Reasoning in Language ModelsarXiv:2203.11171Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,121 citations
  4. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  5. Instruction-Following Evaluation for Large Language ModelsarXiv:2311.07911Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.2023 · 615 citations
  6. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 607 citations
  7. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYingwei Li et al.2022 · 563 citations
  8. Large Language Models Can Be Easily Distracted by Irrelevant ContextarXiv:2302.00093Freda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 534 citations
  9. Language Models are Multilingual Chain-of-Thought ReasonersarXiv:2210.03057Freda Shi, Mirac Suzgun, Markus Freitag, et al.2022 · 494 citations
  10. Large Language Models as OptimizersarXiv:2309.03409Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 413 citations
  11. Large Language Models Cannot Self-Correct Reasoning YetarXiv:2310.01798Jie Huang, Xinyun Chen, Swaroop Mishra, et al.2023 · 412 citations
  12. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 347 citations
  13. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 285 citations
  14. What learning algorithm is in-context learning? Investigations with linear modelsarXiv:2211.15661Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 236 citations
  15. Fast WordPiece Tokenization ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetXinying Song et al.2021 · 225 citations
  16. CRISPR-GPT for Agentic Automation of Gene-editing Experiments ↗arXiv:2404.18021 · no summary yetYuanhao Qu et al.2024 · 163 citations
  17. Chain-of-Thought Reasoning Without Prompting ↗arXiv:2402.10200 · no summary yetXuezhi Wang, Denny Zhou2024 · 149 citations
  18. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationarXiv:2310.03214Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 134 citations
  19. Simple synthetic data reduces sycophancy in large language models ↗arXiv:2308.03958 · no summary yetJerry Wei et al.2023 · 134 citations
  20. Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models ↗arXiv:2310.06117 · no summary yetHuaixiu Steven Zheng et al.2023 · 126 citations
  21. Large Language Models as Tool Makers ↗arXiv:2305.17126 · no summary yetTianle Cai et al.2023 · 123 citations
  22. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
  23. Recitation-Augmented Language Models ↗arXiv (Cornell University) · no summary yetZhiqing Sun et al.2022 · 119 citations
  24. Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ↗International Conference on Learning Representations · no summary yetXinyun Chen et al.2020 · 116 citations
  25. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity ↗arXiv:2305.13169 · no summary yetShayne Longpre et al.2023 · 104 citations
  26. Rationale-Augmented Ensembles in Language Models ↗arXiv:2207.00747 · no summary yetXuezhi Wang et al.2022 · 101 citations
  27. Training Socially Aligned Language Models on Simulated Social Interactions ↗arXiv:2305.16960 · no summary yetRuibo Liu et al.2023 · 94 citations
  28. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  29. FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetTu Vu et al.2024 · 74 citations
  30. Large Language Models as Analogical Reasoners ↗arXiv:2310.01714 · no summary yetMichihiro Yasunaga et al.2023 · 74 citations
  31. Symbol tuning improves in-context learning in language models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetJerry Wei et al.2023 · 68 citations
  32. Self-Discover: Large Language Models Self-Compose Reasoning Structures ↗arXiv:2402.03620 · no summary yetPei Zhou et al.2024 · 61 citations
  33. Premise Order Matters in Reasoning with Large Language Models ↗arXiv:2402.08939 · no summary yetXinyun Chen et al.2024 · 58 citations
  34. NATURAL PLAN: Benchmarking LLMs on Natural Language Planning ↗arXiv:2406.04520 · no summary yetHuaixiu Steven Zheng et al.2024 · 51 citations
  35. Compositional Generalization via Neural-Symbolic Stack Machines ↗arXiv:2008.06662 · no summary yetXinyun Chen et al.2020 · 51 citations
  36. LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ↗International Conference on Machine Learning · no summary yetHongyu Ren et al.2021 · 49 citations
  37. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
  38. SpreadsheetCoder: Formula Prediction from Semi-structured Context ↗arXiv:2106.15339 · no summary yetXinyun Chen et al.2021 · 31 citations
  39. Transformers Can Achieve Length Generalization But Not Robustly ↗arXiv:2402.09371 · no summary yetYongchao Zhou et al.2024 · 29 citations
  40. SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs ↗arXiv:2110.14890 · no summary yetHongyu Ren et al.2021 · 11 citations
  41. Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ↗arXiv (Cornell University) · no summary yetDenny Zhou et al.2020 · 8 citations

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