Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification. - Yizhong Wang; Sujian Li; Jingfeng Yang 001; Xu Sun 001; Houfeng Wang (IJCNLP(1), 2017)

Toward Fast and Accurate Neural Discourse Segmentation. - Yizhong Wang; Sujian Li; Jingfeng Yang 001 (EMNLP, 2018)

Chinese Discourse Segmentation Using Bilingual Discourse Commonality. - Jingfeng Yang 001; Sujian Li (CoRR, 2018)

A survey of cross-lingual features for zero-shot cross-lingual semantic parsing. - Jingfeng Yang 001; Federico Fancellu; Bonnie L. Webber (CoRR, 2019)

Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection. - Jingfeng Yang 001; Diyi Yang; Zhaoran Ma (EMNLP (1), 2020)

Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing. - Jingfeng Yang 001; Federico Fancellu; Bonnie Webber; Diyi Yang (EMNLP (1), 2021)

WIKIBIAS: Detecting Multi-Span Subjective Biases in Language. - Yang Zhong; Jingfeng Yang 001; Wei Xu 004; Diyi Yang (EMNLP (Findings), 2021)

TableFormer: Robust Transformer Modeling for Table-Text Encoding. - Jingfeng Yang 001; Aditya Gupta; Shyam Upadhyay; Luheng He; Rahul Goel; Shachi Paul (ACL (1), 2022)

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. - Jingfeng Yang 001; Haoming Jiang; Qingyu Yin; Danqing Zhang; Bing Yin; Diyi Yang (NAACL-HLT (Findings), 2022)

SUBS: Subtree Substitution for Compositional Semantic Parsing. - Jingfeng Yang 001; Le Zhang 012; Diyi Yang (NAACL-HLT, 2022)

On the Security Vulnerabilities of Text-to-SQL Models. - Xutan Peng; Yipeng Zhang; Jingfeng Yang 001; Mark Stevenson 001 (CoRR, 2022)

Multi-VALUE: A Framework for Cross-Dialectal English NLP. - Caleb Ziems; William Held; Jingfeng Yang 001; Jwala Dhamala; Rahul Gupta 001; Diyi Yang (ACL (1), 2023)

Choice Fusion As Knowledge For Zero-Shot Dialogue State Tracking. - Ruolin Su; Jingfeng Yang 001; Ting-Wei Wu; Biing-Hwang Juang (ICASSP, 2023)

On the Vulnerabilities of Text-to-SQL Models. - Xutan Peng; Yipeng Zhang; Jingfeng Yang 001; Mark Stevenson 001 (ISSRE, 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)

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. - Ruijie Wang 004; Zheng Li 018; Jingfeng Yang 001; Tianyu Cao 001; Chao Zhang 014; Bing Yin; Tarek F. Abdelzaher (WWW, 2023)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Bing Yin; Xia Hu 001 (CoRR, 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)

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Chia-Yuan Chang 002; Xia Hu 001 (CoRR, 2023)

Data Diversity Matters for Robust Instruction Tuning. - Alexander Bukharin; Shiyang Li; Zhengyang Wang; Jingfeng Yang 001; Bing Yin; Xian Li; Chao Zhang 014; Tuo Zhao; Haoming Jiang (EMNLP (Findings), 2024)

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)

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (ICML, 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)

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (CoRR, 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)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Shaochen Zhong; Bing Yin; Xia Ben Hu (ACM Trans. Knowl. Discov. Data, 2024)

LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios. - Pei Chen; Hongye Jin; Cheng-Che Lee; Rulin Shao; Jingfeng Yang 001; Mingyu Zhao; Zhaoyu Zhang; Qin Lu; Kaiwen Men; Ning Xie; Huasheng Li; Bing 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)

Thinking Preference Optimization. - Wang Yang; Hongye Jin; Jingfeng Yang 001; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

RRO: LLM Agent Optimization Through Rising Reward Trajectories. - Zilong Wang 002; Jingfeng Yang 001; Sreyashi Nag; Samarth Varshney; Xianfeng Tang; Haoming Jiang; Jingbo Shang; Sheikh Muhammad Sarwar (CoRR, 2025)

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities. - Jingfeng Yang 001; Hamed Bonab; Nasser Zalmout; Ming Zeng 001; Sanket Lokegaonkar; Colin Lockard; Binxuan Huang; Ritesh Sarkhel; Haodong Wang (CoRR, 2025)