Runchu Tian

According to our database, Runchu Tian authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems.

Justin Chih-Yao Chen, Archiki Prasad, Zaid Khan, Joykirat Singh, Runchu Tian, Elias Stengel-Eskin, Mohit Bansal

CoRR, April, 2026

MultiCube-RAG for Multi-hop Question Answering.

Jimeng Shi, Wei Hu, Runchu Tian, Bowen Jin, Wonbin Kweon, SeongKu Kang, Yunfan Kang, Dingqi Ye, Sizhe Zhou, Shaowen Wang, Jiawei Han

CoRR, February, 2026

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs.

Pengrui Han, Xueqiang Xu, Keyang Xuan, Peiyang Song, Siru Ouyang, Runchu Tian, Yuqing Jiang, Cheng Qian, Pengcheng Jiang, Jiashuo Sun, Junxia Cui, Ming Zhong, Ge Liu, Jiawei Han, Jiaxuan You

CoRR, February, 2026

PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval.

Wonbin Kweon, Runchu Tian, Seongku Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu

Proceedings of the ACM Web Conference 2026, 2026

2025

Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models.

Runchu Tian, Junxia Cui, Xueqiang Xu, Feng Yao, Jingbo Shang

CoRR, October, 2025

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models.

Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han

CoRR, September, 2025

LLM-Based Compact Reranking with Document Features for Scientific Retrieval.

Runchu Tian, Xueqiang Xu, Bowen Jin, SeongKu Kang, Jiawei Han

CoRR, May, 2025

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi R. Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Guoliang Li, Zhiyuan Liu, Maosong Sun

ACM Comput. Surv., April, 2025

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.

Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han

CoRR, March, 2025

Retrieval And Structuring Augmented Generation with Large Language Models.

Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Topic Coverage-based Demonstration Retrieval for In-Context Learning.

Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu

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

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs.

Runchu Tian, Yanghao Li, Yuepeng Fu, Siyang Deng, Qinyu Luo, Cheng Qian, Shuo Wang, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Huadong Wang, Xiaojiang Liu

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

Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims.

Priyanka Kargupta, Runchu Tian, Jiawei Han

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Exploring Format Consistency for Instruction Tuning.

Shihao Liang, Runchu Tian, Kunlun Zhu, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun

Trans. Mach. Learn. Res., 2024

DebugBench: Evaluating Debugging Capability of Large Language Models.

Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Zhiyuan Liu, Maosong Sun

CoRR, 2024

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DebugBench: Evaluating Debugging Capability of Large Language Models.

Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Haotian Hui, Weichuan Liu, Zhiyuan Liu, Maosong Sun

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

2023

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023