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ORCIDXi Ye 0003
Person information
- affiliation: University of Alberta, Canada
- affiliation: Princeton University: Princeton, NJ, USA
- affiliation (Ph.D.): University of Texas at Austin, Austin, TX, USA
Other persons with the same name
- Xi Ye — disambiguation page
- Xi Ye 0001
![[0009-0000-5936-2477]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0000-5936-2477")
— Jianghan University, Wuhan, Hubei, China - Xi Ye 0002 — Jianghan University, China
- Xi Ye 0004 — Wuhan University, Wuhan, China
- Xi Ye 0005 — Tsinghua University, China
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2020 – today
- 2025
[c21]Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold:
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. AAAI 2025: 25949-25957- [c20]Bingsen Chen, Shenji Wan, Xi Ye, Chen Zhao:
Inter-Passage Verification for Multi-evidence Multi-answer QA. ACL (Findings) 2025: 6811-6829 - [c19]Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye:
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking. EMNLP 2025: 23791-23805 - [c18]Zayne Rea Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett:
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. ICLR 2025 - [i28]Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, Danqi Chen:
LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation. CoRR abs/2501.05414 (2025) - [i27]Fangcong Yin, Zeyu Leo Liu, Liu Leqi, Xi Ye, Greg Durrett:
Learning Composable Chains-of-Thought. CoRR abs/2505.22635 (2025) - [i26]Bingsen Chen, Shengjie Wang, Xi Ye, Chen Zhao:
Inter-Passage Verification for Multi-evidence Multi-answer QA. CoRR abs/2506.00425 (2025) - [i25]Jianing Qi, Xi Ye, Hao Tang, Zhigang Zhu, Eunsol Choi:
Learning to Reason Across Parallel Samples for LLM Reasoning. CoRR abs/2506.09014 (2025) - [i24]Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye:
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking. CoRR abs/2506.09944 (2025) - [i23]Adithya Bhaskar, Xi Ye, Danqi Chen:
Language Models that Think, Chat Better. CoRR abs/2509.20357 (2025) - 2024
- [c17]Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. ICLR 2024 - [c16]Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi:
Crafting In-context Examples according to LMs' Parametric Knowledge. NAACL-HLT (Findings) 2024: 2069-2085 - [c15]Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister:
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. NAACL-HLT 2024: 6237-6251 - [c14]Fangcong Yin, Xi Ye, Greg Durrett:
LoFiT: Localized Fine-tuning on LLM Representations. NeurIPS 2024 - [i22]Yoonsang Lee, Xi Ye, Eunsol Choi:
AmbigDocs: Reasoning across Documents on Different Entities under the Same Name. CoRR abs/2404.12447 (2024) - [i21]Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold:
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. CoRR abs/2405.20535 (2024) - [i20]Fangcong Yin, Xi Ye, Greg Durrett:
LoFiT: Localized Fine-tuning on LLM Representations. CoRR abs/2406.01563 (2024) - [i19]Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett:
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. CoRR abs/2407.06249 (2024) - [i18]Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett:
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. CoRR abs/2409.12183 (2024) - 2023
- [c13]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. ACL (Findings) 2023: 4469-4484 - [c12]Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett:
EEL: Efficiently Encoding Lattices for Reranking. ACL (1) 2023: 9299-9316 - [c11]Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett:
Assessing Out-of-Domain Language Model Performance from Few Examples. EACL 2023: 2377-2389 - [c10]Xi Ye, Greg Durrett:
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. EMNLP 2023: 619-637 - [c9]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. NeurIPS 2023 - [i17]Xi Ye, Greg Durrett:
Explanation Selection Using Unlabeled Data for In-Context Learning. CoRR abs/2302.04813 (2023) - [i16]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Satisfiability-Aided Language Models Using Declarative Prompting. CoRR abs/2305.09656 (2023) - [i15]Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett:
EEL: Efficiently Encoding Lattices for Reranking. CoRR abs/2306.00947 (2023) - [i14]Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. CoRR abs/2310.16049 (2023) - [i13]Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister:
Effective Large Language Model Adaptation for Improved Grounding. CoRR abs/2311.09533 (2023) - [i12]Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi:
Crafting In-context Examples according to LMs' Parametric Knowledge. CoRR abs/2311.09579 (2023) - 2022
- [j2]Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu:
Diagnosing Ensemble Few-Shot Classifiers. IEEE Trans. Vis. Comput. Graph. 28(9): 3292-3306 (2022) - [c8]Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. ACL (1) 2022: 6032-6043 - [c7]Xi Ye, Greg Durrett:
Can Explanations Be Useful for Calibrating Black Box Models? ACL (1) 2022: 6199-6212 - [c6]Xi Ye, Greg Durrett:
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning. NeurIPS 2022 - [i11]Xi Ye, Greg Durrett:
The Unreliability of Explanations in Few-Shot In-Context Learning. CoRR abs/2205.03401 (2022) - [i10]Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu:
Diagnosing Ensemble Few-Shot Classifiers. CoRR abs/2206.04372 (2022) - [i9]Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett:
Assessing Out-of-Domain Language Model Performance from Few Examples. CoRR abs/2210.06725 (2022) - [i8]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. CoRR abs/2211.13892 (2022) - 2021
- [c5]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Optimal Neural Program Synthesis from Multimodal Specifications. EMNLP (Findings) 2021: 1691-1704 - [c4]Xi Ye, Rohan Nair, Greg Durrett:
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. EMNLP (1) 2021: 5496-5512 - [i7]Xi Ye, Rohan Nair, Greg Durrett:
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. CoRR abs/2104.04515 (2021) - [i6]Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. CoRR abs/2109.08678 (2021) - [i5]Xi Ye, Greg Durrett:
Can Explanations Be Useful for Calibrating Black Box Models? CoRR abs/2110.07586 (2021) - 2020
- [j1]Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett:
Sketch-Driven Regular Expression Generation from Natural Language and Examples. Trans. Assoc. Comput. Linguistics 8: 679-694 (2020) - [c3]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Benchmarking Multimodal Regex Synthesis with Complex Structures. ACL 2020: 6081-6094 - [c2]Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig:
Multi-modal synthesis of regular expressions. PLDI 2020: 487-502 - [i4]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Benchmarking Multimodal Regex Synthesis with Complex Structures. CoRR abs/2005.00663 (2020) - [i3]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Optimal Neural Program Synthesis from Multimodal Specifications. CoRR abs/2010.01678 (2020)
2010 – 2019
- 2019
- [c1]Shouxing Xiang, Xi Ye, Jiazhi Xia, Jing Wu, Yang Chen, Shixia Liu:
Interactive Correction of Mislabeled Training Data. VAST 2019: 57-68 - [i2]Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig:
Multi-Modal Synthesis of Regular Expressions. CoRR abs/1908.03316 (2019) - [i1]Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett:
Sketch-Driven Regular Expression Generation from Natural Language and Examples. CoRR abs/1908.05848 (2019)
Coauthor Index
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