Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. - Ye Liu 006; Lifang He 001; Bokai Cao; Philip S. Yu; Ann B. Ragin; Alex D. Leow (AAAI, 2018)

Data-driven Blockbuster Planning on Online Movie Knowledge Library. - Ye Liu 006; Jiawei Zhang 001; Chenwei Zhang; Philip S. Yu (IEEE BigData, 2018)

Product Title Refinement via Multi-Modal Generative Adversarial Learning. - Jianguo Zhang 005; Pengcheng Zou; Zhao Li 007; Yao Wan 001; Ye Liu 006; Xiuming Pan; Yu Gong; Philip S. Yu (CoRR, 2018)

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. - Ye Liu 006; Chenwei Zhang; Xiaohui Yan; Yi Chang 001; Philip S. Yu (CIKM, 2019)

Commonsense Evidence Generation and Injection in Reading Comprehension. - Ye Liu 006; Tao Yang 012; Zeyu You; Wei Fan 001; Philip S. Yu (SIGdial, 2020)

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. - Ye Liu 006; Shaika Chowdhury; Chenwei Zhang; Cornelia Caragea; Philip S. Yu (CoRR, 2020)

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. - Ye Liu 006; Yao Wan 001; Lifang He 001; Hao Peng 001; Philip S. Yu (AAAI, 2021)

Disentangled Code Representation Learning for Multiple Programming Languages. - Jingfeng Zhang; Haiwen Hong; Yin Zhang 006; Yao Wan 001; Ye Liu 006; Yulei Sui (ACL/IJCNLP (Findings), 2021)

Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (EACL, 2021)

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Philip S. Yu (EMNLP (Findings), 2021)

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. - Ye Liu 006; Jian-Guo Zhang 005; Yao Wan 001; Congying Xia; Lifang He 001; Philip S. Yu (EMNLP (1), 2021)

Dense Hierarchical Retrieval for Open-domain Question Answering. - Ye Liu 006; Kazuma Hashimoto; Yingbo Zhou; Semih Yavuz; Caiming Xiong; Philip S. Yu (EMNLP (Findings), 2021)

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (CoRR, 2021)

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (CoRR, 2021)

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Zhiwei Liu 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (ConvAI@ACL, 2022)

Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. - Ye Liu 006; Semih Yavuz; Rui Meng; Dragomir Radev; Caiming Xiong; Yingbo Zhou (EMNLP, 2022)

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. - Jibing Gong; Yao Wan 001; Ye Liu 006; Xuewen Li 005; Yi Zhao; Cheng Wang; Qing Li 026; Wenzheng Feng; Jie Tang 001 (CoRR, 2022)

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. - Rui Meng; Ye Liu 006; Semih Yavuz; Divyansh Agarwal; Lifu Tu; Ning Yu; Jianguo Zhang 005; Meghana Bhat; Yingbo Zhou (CoRR, 2022)

HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. - Ye Liu 006; Semih Yavuz; Rui Meng; Dragomir Radev; Caiming Xiong; Shafiq Joty; Yingbo Zhou (EMNLP (Findings), 2023)

CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. - Hoang Nguyen; Ye Liu 006; Chenwei Zhang; Tao Zhang 055; Philip S. Yu (EMNLP, 2023)

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Zhongfen Deng; Philip S. Yu (IJCNLP (Findings), 2023)

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. - Hoang H. Nguyen; Chenwei Zhang; Ye Liu 006; Philip S. Yu (SIGDIAL, 2023)

Answering Complex Questions over Text by Hybrid Question Parsing and Execution. - Ye Liu 006; Semih Yavuz; Rui Meng; Dragomir Radev; Caiming Xiong; Yingbo Zhou (CoRR, 2023)

Exploring the Integration Strategies of Retriever and Large Language Models. - Ye Liu 006; Semih Yavuz; Rui Meng; Meghana Moorthy; Shafiq Joty; Caiming Xiong; Yingbo Zhou (CoRR, 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 2023)

Investigating Answerability of LLMs for Long-Form Question Answering. - Meghana Moorthy Bhat; Rui Meng; Ye Liu 006; Yingbo Zhou; Semih Yavuz (CoRR, 2023)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (CoRR, 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 006; Chenwei Zhang; Tao Zhang 055; Philip S. Yu (CoRR, 2023)

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. - Jibing Gong; Yao Wan 001; Ye Liu 006; Xuewen Li 005; Yi Zhao; Cheng Wang; Yuting Lin; Xiaohan Fang; Wenzheng Feng; Jingyi Zhang; Jie Tang 001 (ACM Trans. Web, 2023)

CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts. - Hoang Nguyen; Chenwei Zhang; Ye Liu 006; Natalie Parde; Eugene Rohrbaugh; Philip S. Yu (LREC/COLING, 2024)

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. - Jianguo Zhang 005; Kun Qian 016; Zhiwei Liu 001; Shelby Heinecke; Rui Meng; Ye Liu 006; Zhou Yu 005; Huan Wang 014; Silvio Savarese; Caiming Xiong (EACL (Findings), 2024)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 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 001; Semih Yavuz; Ye Liu 006; Shafiq Joty; Yingbo Zhou; et al. (EMNLP (Findings), 2024)

Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models. - Rui Meng; Ye Liu 006; Lifu Tu; Daqing He; Yingbo Zhou; Semih Yavuz (EMNLP (Findings), 2024)

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Qingyang Wu; Zhongfen Deng; Jiangshu Du; Shuaiqi Liu 002; Yunlong Xu; Philip S. Yu (NAACL-HLT, 2024)

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. - Wenting Zhao 006; Ye Liu 006; Tong Niu; Yao Wan 001; Philip S. Yu; Shafiq Joty; Yingbo Zhou; Semih Yavuz (NAACL-HLT (Findings), 2024)

CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts. - Hoang H. Nguyen; Chenwei Zhang; Ye Liu 006; Natalie Parde; Eugene Rohrbaugh; Philip S. Yu (CoRR, 2024)

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification. - Zhenwen Liang; Ye Liu 006; Tong Niu; Xiangliang Zhang 001; Yingbo Zhou; Semih Yavuz (CoRR, 2024)

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. - Tong Niu; Shafiq Joty; Ye Liu 006; Caiming Xiong; Yingbo Zhou; Semih Yavuz (CoRR, 2024)

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval. - Ye Liu 006; Rui Meng; Shafiq Joty; Silvio Savarese; Caiming Xiong; Yingbo Zhou; Semih Yavuz (CoRR, 2024)

Can Large Language Models Serve as Evaluators for Code Summarization? - Yang Wu 010; Yao Wan 001; Zhaoyang Chu; Wenting Zhao 006; Ye Liu 006; Hongyu Zhang 002; Xuanhua Shi; Philip S. Yu (CoRR, 2024)

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. - Ansong Ni; Pengcheng Yin; Yilun Zhao 001; Martin Riddell; Troy Feng; Rui Shen; Stephen Yin; Ye Liu 006; Semih Yavuz; Caiming Xiong; Shafiq Joty; Yingbo Zhou; et al. (Trans. Assoc. Comput. Linguistics, 2024)

SweRank: Software Issue Localization with Code Ranking. - Revanth Gangi Reddy; Tarun Suresh; JaeHyeok Doo; Ye Liu 006; Xuan-Phi Nguyen; Yingbo Zhou; Semih Yavuz; Caiming Xiong; Heng Ji 001; Shafiq Joty (CoRR, 2025)

VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. - Rui Meng; Ziyan Jiang; Ye Liu 006; Mingyi Su; Xinyi Yang 002; Yuepeng Fu; Can Qin; Zeyuan Chen 001; Ran Xu 001; Caiming Xiong; Yingbo Zhou; Wenhu Chen; et al. (CoRR, 2025)