Jingfeng Yang

According to our database, Jingfeng Yang authored at least 37 papers between 2017 and 2026.

Collaborative distances:

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

2026

HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning.

Weiqi Wang, Xin Liu, Binxuan Huang, Hejie Cui, Rongzhi Zhang, Changlong Yu, Shuowei Jin, Jingfeng Yang, Qingyu Yin, Zhengyang Wang, Zheng Li, Yifan Gao, Priyanka Nigam, Bing Yin, Lihong Li, Yangqiu Song

CoRR, January, 2026

2025

RRO: LLM Agent Optimization Through Rising Reward Trajectories.

Zilong Wang, Jingfeng Yang, Sreyashi Nag, Samarth Varshney, Xianfeng Tang, Haoming Jiang, Jingbo Shang, Sheikh Muhammad Sarwar

CoRR, May, 2025

Thinking Preference Optimization.

Wang Yang, Hongye Jin, Jingfeng Yang, Vipin Chaudhary, Xiaotian Han

CoRR, February, 2025

Scaling Laws for Predicting Downstream Performance in LLMs.

Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji

Trans. Mach. Learn. Res., 2025

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training.

Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios.

Pei Chen, Hongye Jin, Cheng-Che Lee, Rulin Shao, Jingfeng Yang, Mingyu Zhao, Zhaoyu Zhang, Qin Lu, Kaiwen Men, Ning Xie, Huasheng Li, Bing Yin, Han Li, Lingyun Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning.

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Can Language Models Follow Multiple Turns of Entangled Instructions?

Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates.

Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu

ACM Trans. Knowl. Discov. Data, July, 2024

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.

Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun

CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

CoRR, 2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.

Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MEMORYLLM: Towards Self-Updatable Large Language Models.

Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton

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

Data Diversity Matters for Robust Instruction Tuning.

Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang

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

2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu

CoRR, 2023

Situated Natural Language Explanations.

Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin

CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.

Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin

CoRR, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu

CoRR, 2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.

Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher

Proceedings of the ACM Web Conference 2023, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Vulnerabilities of Text-to-SQL Models.

Xutan Peng, Yipeng Zhang, Jingfeng Yang, Mark Stevenson

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Choice Fusion As Knowledge For Zero-Shot Dialogue State Tracking.

Ruolin Su, Jingfeng Yang, Ting-Wei Wu, Biing-Hwang Juang

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-VALUE: A Framework for Cross-Dialectal English NLP.

Caleb Ziems, William Barr Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

On the Security Vulnerabilities of Text-to-SQL Models.

Xutan Peng, Yipeng Zhang, Jingfeng Yang, Mark Stevenson

CoRR, 2022

SUBS: Subtree Substitution for Compositional Semantic Parsing.

Jingfeng Yang, Le Zhang, Diyi Yang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.

Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

TableFormer: Robust Transformer Modeling for Table-Text Encoding.

Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

WIKIBIAS: Detecting Multi-Span Subjective Biases in Language.

Yang Zhong, Jingfeng Yang, Wei Xu, Diyi Yang

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

Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing.

Jingfeng Yang, Federico Fancellu, Bonnie Webber, Diyi Yang

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

2020

Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection.

Jingfeng Yang, Diyi Yang, Zhaoran Ma

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

A survey of cross-lingual features for zero-shot cross-lingual semantic parsing.

Jingfeng Yang, Federico Fancellu, Bonnie L. Webber

CoRR, 2019

2018

Chinese Discourse Segmentation Using Bilingual Discourse Commonality.

Jingfeng Yang, Sujian Li

CoRR, 2018

Toward Fast and Accurate Neural Discourse Segmentation.

Yizhong Wang, Sujian Li, Jingfeng Yang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification.

Yizhong Wang, Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017