Xi Ye - RankMe

52 papers A* 10A 1Journal 31Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DySCO: Dynamic Attention-Scaling Decoding for Long-Context LMs. CoRR Xi Ye, Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen
2025	—	`conf`	Inter-Passage Verification for Multi-evidence Multi-answer QA. ACL (Findings) Bingsen Chen, Shenji Wan, Xi Ye, Chen Zhao
2025	J	`jnl`	Inter-Passage Verification for Multi-evidence Multi-answer QA. CoRR Bingsen Chen, Shengjie Wang, Xi Ye, Chen Zhao
2025	J	`jnl`	Language Models that Think, Chat Better. CoRR Adithya Bhaskar, Xi Ye, Danqi Chen
2025	J	`jnl`	Learning Composable Chains-of-Thought. CoRR Fangcong Yin, Zeyu Leo Liu, Liu Leqi, Xi Ye, Greg Durrett
2025	J	`jnl`	Learning to Reason Across Parallel Samples for LLM Reasoning. CoRR Jianing Qi, Xi Ye, Hao Tang, Zhigang Zhu, Eunsol Choi
2025	J	`jnl`	LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation. CoRR Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, Danqi Chen
2025	A*	`conf`	Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking. EMNLP Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye
2025	J	`jnl`	Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking. CoRR Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye
2025	A*	`conf`	To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. ICLR Zayne Rea Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett
2025	A*	`conf`	Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. AAAI Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold
2024	J	`jnl`	AmbigDocs: Reasoning across Documents on Different Entities under the Same Name. CoRR Yoonsang Lee, Xi Ye, Eunsol Choi
2024	J	`jnl`	CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. CoRR Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett
2024	—	`conf`	Crafting In-context Examples according to LMs' Parametric Knowledge. NAACL-HLT (Findings) Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi
2024	—	`conf`	Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. NAACL-HLT Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024	A*	`conf`	LoFiT: Localized Fine-tuning on LLM Representations. NeurIPS Fangcong Yin, Xi Ye, Greg Durrett
2024	J	`jnl`	LoFiT: Localized Fine-tuning on LLM Representations. CoRR Fangcong Yin, Xi Ye, Greg Durrett
2024	A*	`conf`	MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. ICLR Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
2024	J	`jnl`	To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. CoRR Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett
2024	J	`jnl`	Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. CoRR Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold
2023	A	`conf`	Assessing Out-of-Domain Language Model Performance from Few Examples. EACL Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett
2023	—	`conf`	Complementary Explanations for Effective In-Context Learning. ACL (Findings) Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru
2023	J	`jnl`	Crafting In-context Examples according to LMs' Parametric Knowledge. CoRR Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi
2023	—	`conf`	EEL: Efficiently Encoding Lattices for Reranking. ACL (1) Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
2023	J	`jnl`	EEL: Efficiently Encoding Lattices for Reranking. CoRR Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
2023	J	`jnl`	Effective Large Language Model Adaptation for Improved Grounding. CoRR Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2023	A*	`conf`	Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. EMNLP Xi Ye, Greg Durrett
2023	J	`jnl`	Explanation Selection Using Unlabeled Data for In-Context Learning. CoRR Xi Ye, Greg Durrett
2023	J	`jnl`	MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. CoRR Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
2023	A*	`conf`	SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. NeurIPS Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2023	J	`jnl`	Satisfiability-Aided Language Models Using Declarative Prompting. CoRR Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2022	J	`jnl`	Assessing Out-of-Domain Language Model Performance from Few Examples. CoRR Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett
2022	—	`conf`	Can Explanations Be Useful for Calibrating Black Box Models? ACL (1) Xi Ye, Greg Durrett
2022	J	`jnl`	Complementary Explanations for Effective In-Context Learning. CoRR Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru
2022	J	`jnl`	Diagnosing Ensemble Few-Shot Classifiers. CoRR Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu
2022	J	`jnl`	Diagnosing Ensemble Few-Shot Classifiers. IEEE Trans. Vis. Comput. Graph. Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister, Shixia Liu
2022	—	`conf`	RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. ACL (1) Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	The Unreliability of Explanations in Few-Shot In-Context Learning. CoRR Xi Ye, Greg Durrett
2022	A*	`conf`	The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning. NeurIPS Xi Ye, Greg Durrett
2021	J	`jnl`	Can Explanations Be Useful for Calibrating Black Box Models? CoRR Xi Ye, Greg Durrett
2021	—	`conf`	Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. EMNLP (1) Xi Ye, Rohan Nair, Greg Durrett
2021	J	`jnl`	Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. CoRR Xi Ye, Rohan Nair, Greg Durrett
2021	—	`conf`	Optimal Neural Program Synthesis from Multimodal Specifications. EMNLP (Findings) Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2021	J	`jnl`	RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. CoRR Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong
2020	A*	`conf`	Benchmarking Multimodal Regex Synthesis with Complex Structures. ACL Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2020	J	`jnl`	Benchmarking Multimodal Regex Synthesis with Complex Structures. CoRR Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2020	A*	`conf`	Multi-modal synthesis of regular expressions. PLDI Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig
2020	J	`jnl`	Optimal Neural Program Synthesis from Multimodal Specifications. CoRR Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
2020	J	`jnl`	Sketch-Driven Regular Expression Generation from Natural Language and Examples. Trans. Assoc. Comput. Linguistics Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett
2019	—	`conf`	Interactive Correction of Mislabeled Training Data. VAST Shouxing Xiang, Xi Ye, Jiazhi Xia, Jing Wu, Yang Chen, Shixia Liu
2019	J	`jnl`	Multi-Modal Synthesis of Regular Expressions. CoRR Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, Isil Dillig
2019	J	`jnl`	Sketch-Driven Regular Expression Generation from Natural Language and Examples. CoRR Xi Ye, Qiaochu Chen, Xinyu Wang, Isil Dillig, Greg Durrett