Learning multi-level features for sensor-based human action recognition. - Yan Xu 001; Zhengyang Shen; Xin Zhang; Yifan Gao 001; Shujian Deng; Yipei Wang; Yubo Fan; Eric I-Chao Chang (Pervasive Mob. Comput., 2017)

Difficulty Controllable Question Generation for Reading Comprehension. - Yifan Gao 001; Jianan Wang; Lidong Bing; Irwin King; Michael R. Lyu (CoRR, 2018)

Title-Guided Encoding for Keyphrase Generation. - Wang Chen; Yifan Gao 001; Jiani Zhang 001; Irwin King; Michael R. Lyu (AAAI, 2019)

Generating Distractors for Reading Comprehension Questions from Real Examinations. - Yifan Gao 001; Lidong Bing; Piji Li; Irwin King; Michael R. Lyu (AAAI, 2019)

Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. - Yifan Gao 001; Piji Li; Irwin King; Michael R. Lyu (ACL (1), 2019)

Improving Question Generation With to the Point Context. - Jingjing Li 007; Yifan Gao 001; Lidong Bing; Irwin King; Michael R. Lyu (EMNLP/IJCNLP (1), 2019)

Difficulty Controllable Generation of Reading Comprehension Questions. - Yifan Gao 001; Lidong Bing; Wang Chen; Michael R. Lyu; Irwin King (IJCAI, 2019)

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. - Yifan Gao 001; Chien-Sheng Wu; Shafiq R. Joty; Caiming Xiong; Richard Socher; Irwin King; Michael R. Lyu; Steven C. H. Hoi (ACL, 2020)

Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. - Yifan Gao 001; Piji Li; Wei Bi; Xiaojiang Liu; Michael R. Lyu; Irwin King (EMNLP (Findings), 2020)

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. - Yifan Gao 001; Chien-Sheng Wu; Jingjing Li 007; Shafiq R. Joty; Steven C. H. Hoi; Caiming Xiong; Irwin King; Michael R. Lyu (EMNLP (1), 2020)

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. - Yifan Gao 001; Chien-Sheng Wu; Shafiq R. Joty; Caiming Xiong; Richard Socher; Irwin King; Michael R. Lyu; Steven C. H. Hoi (CoRR, 2020)

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. - Yifan Gao 001; Henghui Zhu; Patrick Ng; Cícero Nogueira dos Santos; Zhiguo Wang; Feng Nan; Dejiao Zhang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (ACL/IJCNLP (1), 2021)

Open-Retrieval Conversational Machine Reading. - Yifan Gao 001; Jingjing Li 007; Michael R. Lyu; Irwin King (CoRR, 2021)

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. - Yifan Gao 001; Qingyu Yin; Zheng Li 018; Rui Meng; Tong Zhao 002; Bing Yin; Irwin King; Michael R. Lyu (NAACL-HLT (Findings), 2022)

ProQA: Structural Prompt-based Pre-training for Unified Question Answering. - Wanjun Zhong; Yifan Gao 001; Ning Ding 002; Yujia Qin; Zhiyuan Liu 001; Ming Zhou 001; Jiahai Wang; Jian Yin 001; Nan Duan (NAACL-HLT, 2022)

Query Attribute Recommendation at Amazon Search. - Chen Luo 003; William Headden; Neela Avudaiappan; Haoming Jiang; Tianyu Cao 001; Qingyu Yin; Yifan Gao 001; Zheng Li 018; Rahul Goutam; Haiyang Zhang; Bing Yin (RecSys, 2022)

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense. - Changlong Yu; Weiqi Wang 001; Xin Liu 039; Jiaxin Bai; Yangqiu Song; Zheng Li 018; Yifan Gao 001; Tianyu Cao 001; Bing Yin (CoRR, 2022)

Graph Reasoning for Question Answering with Triplet Retrieval. - Shiyang Li; Yifan Gao 001; Haoming Jiang; Qingyu Yin; Zheng Li 018; Xifeng Yan; Chao Zhang 014; Bing Yin (ACL (Findings), 2023)

SCOTT: Self-Consistent Chain-of-Thought Distillation. - Peifeng Wang; Zhengyang Wang; Zheng Li 018; Yifan Gao 001; Bing Yin; Xiang Ren 001 (ACL (1), 2023)

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery. - Changlong Yu; Weiqi Wang 001; Xin Liu 039; Jiaxin Bai; Yangqiu Song; Zheng Li 018; Yifan Gao 001; Tianyu Cao 001; Bing Yin (ACL (Findings), 2023)

Improving Consistency for Text Summarization with Energy Functions. - Qi Zeng 001; Qingyu Yin; Zheng Li 018; Yifan Gao 001; Sreyashi Nag; Zhengyang Wang; Bing Yin; Heng Ji 001; Chao Zhang 014 (EMNLP (Findings), 2023)

Knowledge-Selective Pretraining for Attribute Value Extraction. - Hui Liu 033; Qingyu Yin; Zhengyang Wang; Chenwei Zhang; Haoming Jiang; Yifan Gao 001; Zheng Li 018; Xian Li; Chao Zhang 014; Bing Yin; William Wang 001; Xiaodan Zhu 001 (EMNLP (Findings), 2023)

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. - Xin Liu 039; Zheng Li 018; Yifan Gao 001; Jingfeng Yang 001; Tianyu Cao 001; Zhengyang Wang; Bing Yin; Yangqiu Song (NeurIPS, 2023)

CCGen: Explainable Complementary Concept Generation in E-Commerce. - Jie Huang 009; Yifan Gao 001; Zheng Li 018; Jingfeng Yang 001; Yangqiu Song; Chao Zhang 014; Zining Zhu 001; Haoming Jiang; Kevin Chen-Chuan Chang; Bing Yin (CoRR, 2023)

Situated Natural Language Explanations. - Zining Zhu 001; Haoming Jiang; Jingfeng Yang 001; Sreyashi Nag; Chao Zhang 014; Jie Huang 009; Yifan Gao 001; Frank Rudzicz; Bing Yin (CoRR, 2023)

Improving task generalization via unified schema prompt. - Wanjun Zhong; Yifan Gao 001; Ning Ding 002; Zhiyuan Liu 001; Ming Zhou 001; Jiahai Wang; Jian Yin 001; Nan Duan (AI Open, 2023)

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. - Fenglin Liu; Zheng Li 018; Hongjian Zhou; Qingyu Yin; Jingfeng Yang 001; Xianfeng Tang; Chen Luo 003; Ming Zeng 001; Haoming Jiang; Yifan Gao 001; Priyanka Nigam; Sreyashi Nag; et al. (EMNLP, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 170; Yifan Gao 001; Xiusi Chen; Haoming Jiang; Shiyang Li; Jingfeng Yang 001; Qingyu Yin; Zheng Li 018; Xian Li; Bing Yin; Jingbo Shang; Julian J. McAuley (ICML, 2024)

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. - Yilun Jin; Zheng Li 018; Chenwei Zhang; Tianyu Cao 001; Yifan Gao 001; Pratik Jayarao; Mao Li; Xin Liu 039; Ritesh Sarkhel; Xianfeng Tang; Haodong Wang; Zhengyang Wang; et al. (NeurIPS, 2024)

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. - Changlong Yu; Xin Liu 039; Jefferson Maia; Yang Li 055; Tianyu Cao 001; Yifan Gao 001; Yangqiu Song; Rahul Goutam; Haiyang Zhang; Bing Yin; Zheng Li 018 (SIGMOD Conference Companion, 2024)

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. - Kewei Cheng; Jingfeng Yang 001; Haoming Jiang; Zhengyang Wang; Binxuan Huang; Ruirui Li 002; Shiyang Li; Zheng Li 018; Yifan Gao 001; Xian Li; Bing Yin; Yizhou Sun (CoRR, 2024)

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. - Fengran Mo; Yifan Gao 001; Chuan Meng; Xin Liu 039; Zhuofeng Wu 005; Kelong Mao; Zhengyang Wang; Pei Chen; Zheng Li 018; Xian Li; Bing Yin; Meng Jiang 001 (ACL (1), 2025)

Aligning Large Language Models with Implicit Preferences from User-Generated Content. - Zhaoxuan Tan; Zheng Li 018; Tianyi Liu; Haodong Wang; Hyokun Yun; Ming Zeng 001; Pei Chen; Zhihan Zhang 001; Yifan Gao 001; Ruijie Wang 004; Priyanka Nigam; Bing Yin; et al. (ACL (1), 2025)

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association. - Weiqi Wang; Limeng Cui; Xin Liu; Sreyashi Nag; Wenju Xu; Chen Luo 003; Sheikh Muhammad Sarwar; Yang Li; Hansu Gu; Hui Liu; Changlong Yu; Jiaxin Bai; et al. (ACL (1), 2025)

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. - Yichuan Li 001; Xinyang Zhang 002; Chenwei Zhang; Mao Li; Tianyi Liu; Pei Chen; Yifan Gao 001; Kyumin Lee; Kaize Ding; Zhengyang Wang; Zhihan Zhang 001; Jingbo Shang; et al. (NAACL (Long Papers), 2025)

IHEval: Evaluating Language Models on Following the Instruction Hierarchy. - Zhihan Zhang 001; Shiyang Li; Zixuan Zhang; Xin Liu 039; Haoming Jiang; Xianfeng Tang; Yifan Gao 001; Zheng Li 018; Haodong Wang; Zhaoxuan Tan; Yichuan Li 001; Qingyu Yin; et al. (NAACL (Long Papers), 2025)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)

Scaling Laws for Predicting Downstream Performance in LLMs. - Yangyi Chen; Binxuan Huang; Yifan Gao 001; Zhengyang Wang; Jingfeng Yang 001; Heng Ji 001 (Trans. Mach. Learn. Res., 2025)

M+: Extending MemoryLLM with Scalable Long-Term Memory. - Yu Wang 170; Dmitry Krotov; Yuanzhe Hu; Yifan Gao 001; Wangchunshu Zhou; Julian J. McAuley; Dan Gutfreund; Rogério Feris; Zexue He (CoRR, 2025)

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association. - Weiqi Wang 001; Limeng Cui; Xin Liu; Sreyashi Nag; Wenju Xu; Chen Luo 003; Sheikh Muhammad Sarwar; Yang Li; Hansu Gu; Hui Liu; Changlong Yu; Jiaxin Bai; et al. (CoRR, 2025)

PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. - Weizhi Zhang 001; Xinyang Zhang 002; Chenwei Zhang; Liangwei Yang; Jingbo Shang; Zhepei Wei; Henry Peng Zou; Zijie Huang 002; Zhengyang Wang; Yifan Gao 001; Xiaoman Pan; Lian Xiong; et al. (CoRR, 2025)

SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding. - Yuqi Yang; Weiqi Wang 001; Baixuan Xu; Wei Fan 001; Qing Zong; Chunkit Chan; Zheye Deng; Xin Liu 039; Yifan Gao 001; Changlong Yu; Chen Luo 003; Yang Li 055; et al. (CoRR, 2025)