Ye Liu

According to our database, Ye Liu authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

<tt>L2CEval</tt>: Evaluating Language-to-Code Generation Capabilities of Large Language Models.

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

Trans. Assoc. Comput. Linguistics, 2024

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking.

Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz

CoRR, 2024

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification.

Zhenwen Liang, Ye Liu, Tong Niu, Xiangliang Zhang, Yingbo Zhou, Semih Yavuz

CoRR, 2024

CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts.

Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu

CoRR, 2024

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.

Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.

Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models.

Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FOLIO: Natural Language Reasoning with First-Order Logic.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.

Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts.

Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.

Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang

ACM Trans. Web, August, 2023

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.

Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu

CoRR, 2023

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.

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

CoRR, 2023

Investigating Answerability of LLMs for Long-Form Question Answering.

Meghana Moorthy Bhat, Rui Meng, Ye Liu, Yingbo Zhou, Semih Yavuz

CoRR, 2023

XGen-7B Technical Report.

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

CoRR, 2023

Exploring the Integration Strategies of Retriever and Large Language Models.

Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou

CoRR, 2023

Answering Complex Questions over Text by Hybrid Question Parsing and Execution.

Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou

CoRR, 2023

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning.

Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.

Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.

Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution.

Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.

Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou

CoRR, 2022

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.

Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang

CoRR, 2022

Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database.

Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.

Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.

Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu

CoRR, 2021

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation.

Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu

CoRR, 2021

Dense Hierarchical Retrieval for Open-domain Question Answering.

Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.

Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots.

Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation.

Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Disentangled Code Representation Learning for Multiple Programming Languages.

Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.

Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering.

Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu

CoRR, 2020

Commonsense Evidence Generation and Injection in Reading Comprehension.

Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

2019

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.

Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Product Title Refinement via Multi-Modal Generative Adversarial Learning.

Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu

CoRR, 2018

Data-driven Blockbuster Planning on Online Movie Knowledge Library.

Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.

Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018