Runchu Tian - RankMe

23 papers A* 3Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MultiCube-RAG for Multi-hop Question Answering. CoRR Jimeng Shi, Wei Hu, Runchu Tian, Bowen Jin, Wonbin Kweon, SeongKu Kang, Yunfan Kang, Dingqi Ye, Sizhe Zhou, Shaowen Wang, Jiawei Han
2026	A*	`conf`	PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. WWW Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
2026	J	`jnl`	Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs. CoRR 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
2025	J	`jnl`	A Survey on Retrieval And Structuring Augmented Generation with Large Language Models. CoRR Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han
2025	—	`conf`	Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims. ACL (1) Priyanka Kargupta, Runchu Tian, Jiawei Han
2025	J	`jnl`	Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims. CoRR Priyanka Kargupta, Runchu Tian, Jiawei Han
2025	J	`jnl`	DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. CoRR Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han
2025	—	`conf`	Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. ACL (Findings) 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
2025	J	`jnl`	Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models. CoRR Runchu Tian, Junxia Cui, Xueqiang Xu, Feng Yao, Jingbo Shang
2025	J	`jnl`	LLM-Based Compact Reranking with Document Features for Scientific Retrieval. CoRR Runchu Tian, Xueqiang Xu, Bowen Jin, SeongKu Kang, Jiawei Han
2025	J	`jnl`	PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. CoRR Wonbin Kweon, Runchu Tian, SeongKu Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu
2025	—	`conf`	Retrieval And Structuring Augmented Generation with Large Language Models. KDD (2) Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han
2025	J	`jnl`	Tool Learning with Foundation Models. ACM Comput. Surv. 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
2025	A*	`conf`	Topic Coverage-based Demonstration Retrieval for In-Context Learning. EMNLP Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu
2025	J	`jnl`	Topic Coverage-based Demonstration Retrieval for In-Context Learning. CoRR Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu
2024	—	`conf`	DebugBench: Evaluating Debugging Capability of Large Language Models. ACL (Findings) Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Haotian Hui, Weichuan Liu, Zhiyuan Liu, Maosong Sun
2024	J	`jnl`	DebugBench: Evaluating Debugging Capability of Large Language Models. CoRR Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Zhiyuan Liu, Maosong Sun
2024	J	`jnl`	Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. CoRR 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
2024	J	`jnl`	Exploring Format Consistency for Instruction Tuning. Trans. Mach. Learn. Res. Shihao Liang, Runchu Tian, Kunlun Zhu, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun
2024	A*	`conf`	ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. ICLR 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
2023	J	`jnl`	Exploring Format Consistency for Instruction Tuning. CoRR Shihao Liang, Kunlun Zhu, Runchu Tian, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun
2023	J	`jnl`	Tool Learning with Foundation Models. CoRR 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
2023	J	`jnl`	ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR 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