Ye Liu - RankMe

65 papers A* 5A 2B 2Journal 42Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. Trans. Mach. Learn. Res. Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Raghuveer Thirukovalluru, Xuan Zhang, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz
2025	J	`jnl`	Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining. CoRR Raghuveer Thirukovalluru, Rui Meng, Ye Liu, Karthikeyan K, Mingyi Su, Ping Nie, Semih Yavuz, Yingbo Zhou, Wenhu Chen, Bhuwan Dhingra
2025	J	`jnl`	Can Large Language Models Serve as Evaluators for Code Summarization? IEEE Trans. Software Eng. Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Hai Jin, Philip S. Yu
2025	J	`jnl`	SSR: Socratic Self-Refine for Large Language Model Reasoning. CoRR Haizhou Shi, Ye Liu, Bo Pang, Zeyu Leo Liu, Hao Wang, Silvio Savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2025	J	`jnl`	Self-Abstraction from Grounded Experience for Plan-Guided Policy Refinement. CoRR Hiroaki Hayashi, Bo Pang, Wenting Zhao, Ye Liu, Akash Gokul, Srijan Bansal, Caiming Xiong, Semih Yavuz, Yingbo Zhou
2025	J	`jnl`	SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization. CoRR Revanth Gangi Reddy, Ye Liu, Wenting Zhao, JaeHyeok Doo, Tarun Suresh, Daniel Lee, Caiming Xiong, Yingbo Zhou, Semih Yavuz, Shafiq Joty
2025	J	`jnl`	SweRank: Software Issue Localization with Code Ranking. CoRR Revanth Gangi Reddy, Tarun Suresh, JaeHyeok Doo, Ye Liu, Xuan-Phi Nguyen, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Heng Ji, Shafiq Joty
2025	J	`jnl`	VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. CoRR Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz
2024	J	`jnl`	CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts. CoRR Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
2024	—	`conf`	CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts. LREC/COLING Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
2024	J	`jnl`	Can Large Language Models Serve as Evaluators for Code Summarization? CoRR Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu
2024	J	`jnl`	CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval. CoRR Ye Liu, Rui Meng, Shafiq Joty, Silvio Savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2024	—	`conf`	DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. NAACL-HLT (Findings) Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2024	—	`conf`	DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
2024	A*	`conf`	FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev
2024	J	`jnl`	Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification. CoRR Zhenwen Liang, Ye Liu, Tong Niu, Xiangliang Zhang, Yingbo Zhou, Semih Yavuz
2024	J	`jnl`	JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. CoRR Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2024	—	`conf`	P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. EMNLP (Findings) Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan
2024	J	`jnl`	P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. CoRR Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan
2024	—	`conf`	Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models. EMNLP (Findings) Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz
2024	J	`jnl`	Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models. CoRR Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz
2024	—	`conf`	kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. NAACL-HLT Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
2023	J	`jnl`	Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2023	A*	`conf`	CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. EMNLP Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023	J	`jnl`	CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. CoRR Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023	J	`jnl`	DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. CoRR Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz
2023	J	`jnl`	DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	Exploring the Integration Strategies of Retriever and Large Language Models. CoRR Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou
2023	—	`conf`	HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. EMNLP (Findings) Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou
2023	J	`jnl`	Investigating Answerability of LLMs for Long-Form Question Answering. CoRR Meghana Moorthy Bhat, Rui Meng, Ye Liu, Yingbo Zhou, Semih Yavuz
2023	J	`jnl`	L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan
2023	—	`conf`	Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. IJCNLP (Findings) Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu
2023	J	`jnl`	Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. CoRR Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu
2023	J	`jnl`	Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
2023	B	`conf`	Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. SIGDIAL Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu
2023	J	`jnl`	Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. CoRR Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu
2023	J	`jnl`	XGen-7B Technical Report. CoRR Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
2023	J	`jnl`	kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. CoRR Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
2022	—	`conf`	Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu
2022	J	`jnl`	Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. CoRR Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2022	J	`jnl`	Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. CoRR Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
2022	A*	`conf`	Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2022	J	`jnl`	Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou
2022	J	`jnl`	Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. CoRR Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou
2021	J	`jnl`	Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. CoRR Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu
2021	—	`conf`	Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. EMNLP (Findings) Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2021	J	`jnl`	Dense Hierarchical Retrieval for Open-Domain Question Answering. CoRR Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021	—	`conf`	Dense Hierarchical Retrieval for Open-domain Question Answering. EMNLP (Findings) Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021	—	`conf`	Disentangled Code Representation Learning for Multiple Programming Languages. ACL/IJCNLP (Findings) Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui
2021	A	`conf`	Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. EACL Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021	J	`jnl`	Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. CoRR Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021	—	`conf`	HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021	J	`jnl`	HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. CoRR Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021	A*	`conf`	KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2020	B	`conf`	Commonsense Evidence Generation and Injection in Reading Comprehension. SIGdial Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu
2020	J	`jnl`	Commonsense Evidence Generation and Injection in Reading Comprehension. CoRR Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu
2020	J	`jnl`	Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. CoRR Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu
2020	J	`jnl`	KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. CoRR Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2019	A	`conf`	Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CIKM Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2019	J	`jnl`	Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2018	—	`conf`	Data-driven Blockbuster Planning on Online Movie Knowledge Library. IEEE BigData Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
2018	J	`jnl`	Data-driven Blockbuster Planning on Online Movie Knowledge Library. CoRR Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
2018	A*	`conf`	Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. AAAI Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
2018	J	`jnl`	Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. CoRR Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
2018	J	`jnl`	Product Title Refinement via Multi-Modal Generative Adversarial Learning. CoRR Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu