Tianxiang Sun - RankMe

64 papers A* 8B 1Journal 40Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Can Learn Scientific Taste. CoRR Jingqi Tong, Mingzhe Li, Hangcheng Li, Yongzhuo Yang, Yurong Mou, Weijie Ma, Zhiheng Xi, Hongji Chen, Xiaoran Liu, Qinyuan Cheng, Ming Zhang, Qiguang Chen, Weifeng Ge, Qipeng Guo, Tianlei Ying, Tianxiang Sun, Yining Zheng, Xinchi Chen, Jun Zhao, Ning Ding, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu
2026	J	`jnl`	Investigating effective LLM-based in-context tool use: what matters and how to improve. Frontiers Comput. Sci. Yining Zheng, Haiyang Wei, Jiahao Lu, Linqi Yin, Yunke Zhang, Chengguo Xu, Hetao Cui, Tianxiang Sun, Shuang Chen, Xipeng Qiu
2025	A*	`conf`	Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance. ICLR Jiasheng Ye, Peiju Liu, Tianxiang Sun, Jun Zhan, Yunhua Zhou, Xipeng Qiu
2024	J	`jnl`	Agent Alignment in Evolving Social Norms. CoRR Shimin Li, Tianxiang Sun, Xipeng Qiu
2024	—	`conf`	Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. LREC/COLING Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang
2024	J	`jnl`	Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. CoRR Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang
2024	—	`conf`	AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. ACL (1) Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yu-Gang Jiang, Xipeng Qiu
2024	J	`jnl`	AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. CoRR Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yu-Gang Jiang, Xipeng Qiu
2024	A*	`conf`	Can AI Assistants Know What They Don't Know? ICML Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu, Wenwei Zhang, Zhangyue Yin, Shimin Li, Linyang Li, Zhengfu He, Kai Chen, Xipeng Qiu
2024	J	`jnl`	Can AI Assistants Know What They Don't Know? CoRR Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu, Wenwei Zhang, Zhangyue Yin, Shimin Li, Linyang Li, Zhengfu He, Kai Chen, Xipeng Qiu
2024	J	`jnl`	Correction to: MOSS: An Open Conversational Large Language Model. Mach. Intell. Res. Tianxiang Sun, Xiaotian Zhang, Zhengfu He, Peng Li, Qinyuan Cheng, Xiangyang Liu, Hang Yan, Yunfan Shao, Qiong Tang, Shiduo Zhang, Xingjian Zhao, Ke Chen, Yining Zheng, Zhejian Zhou, Ruixiao Li, Jun Zhan, Yunhua Zhou, Linyang Li, Xiaogui Yang, Lingling Wu, Zhangyue Yin, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu
2024	J	`jnl`	Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance. CoRR Jiasheng Ye, Peiju Liu, Tianxiang Sun, Yunhua Zhou, Jun Zhan, Xipeng Qiu
2024	A*	`conf`	DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. AAAI Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
2024	J	`jnl`	DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. CoRR Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
2024	J	`jnl`	DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels. CoRR Zhe Xu, Jiasheng Ye, Xiangyang Liu, Tianxiang Sun, Xiaoran Liu, Qipeng Guo, Linlin Li, Qun Liu, Xuanjing Huang, Xipeng Qiu
2024	J	`jnl`	Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT. CoRR Zhengfu He, Xuyang Ge, Qiong Tang, Tianxiang Sun, Qinyuan Cheng, Xipeng Qiu
2024	—	`conf`	Flames: Benchmarking Value Alignment of LLMs in Chinese. NAACL-HLT Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin
2024	J	`jnl`	In-Memory Learning: A Declarative Learning Framework for Large Language Models. CoRR Bo Wang, Tianxiang Sun, Hang Yan, Siyin Wang, Qingyuan Cheng, Xipeng Qiu
2024	—	`conf`	LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. ACL (Findings) Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang
2024	J	`jnl`	LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. CoRR Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang
2024	—	`conf`	LLatrieval: LLM-Verified Retrieval for Verifiable Generation. NAACL-HLT Xiaonan Li, Changtai Zhu, Linyang Li, Zhangyue Yin, Tianxiang Sun, Xipeng Qiu
2024	J	`jnl`	MOSS: An Open Conversational Large Language Model. Mach. Intell. Res. Tianxiang Sun, Xiaotian Zhang, Zhengfu He, Peng Li, Qinyuan Cheng, Xiangyang Liu, Hang Yan, Yunfan Shao, Qiong Tang, Shiduo Zhang, Xingjian Zhao, Ke Chen, Yining Zheng, Zhejian Zhou, Ruixiao Li, Jun Zhan, Yunhua Zhou, Linyang Li, Xiaogui Yang, Lingling Wu, Zhangyue Yin, Xuanjing Huang, Yu-Gang Jiang, Xipeng Qiu
2024	A*	`conf`	Turn Waste into Worth: Rectifying Top-k Router of MoE. EMNLP Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu
2024	J	`jnl`	Turn Waste into Worth: Rectifying Top-k Router of MoE. CoRR Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu
2024	—	`conf`	Unified Active Retrieval for Retrieval Augmented Generation. EMNLP (Findings) Qinyuan Cheng, Xiaonan Li, Shimin Li, Qin Zhu, Zhangyue Yin, Yunfan Shao, Linyang Li, Tianxiang Sun, Hang Yan, Xipeng Qiu
2024	J	`jnl`	Unified Active Retrieval for Retrieval Augmented Generation. CoRR Qinyuan Cheng, Xiaonan Li, Shimin Li, Qin Zhu, Zhangyue Yin, Yunfan Shao, Linyang Li, Tianxiang Sun, Hang Yan, Xipeng Qiu
2023	—	`conf`	CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. ACL (1) Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu
2023	J	`jnl`	CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. CoRR Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu
2023	—	`conf`	DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. ACL (1) Zhengfu He, Tianxiang Sun, Qiong Tang, Kuanning Wang, Xuanjing Huang, Xipeng Qiu
2023	J	`jnl`	Evaluating Hallucinations in Chinese Large Language Models. CoRR Qinyuan Cheng, Tianxiang Sun, Wenwei Zhang, Siyin Wang, Xiangyang Liu, Mozhi Zhang, Junliang He, Mianqiu Huang, Zhangyue Yin, Kai Chen, Xipeng Qiu
2023	J	`jnl`	Flames: Benchmarking Value Alignment of Chinese Large Language Models. CoRR Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin
2023	—	`conf`	Improving Contrastive Learning of Sentence Embeddings from AI Feedback. ACL (Findings) Qinyuan Cheng, Xiaogui Yang, Tianxiang Sun, Linyang Li, Xipeng Qiu
2023	J	`jnl`	Improving Contrastive Learning of Sentence Embeddings from AI Feedback. CoRR Qinyuan Cheng, Xiaogui Yang, Tianxiang Sun, Linyang Li, Xipeng Qiu
2023	J	`jnl`	LLatrieval: LLM-Verified Retrieval for Verifiable Generation. CoRR Xiaonan Li, Changtai Zhu, Linyang Li, Zhangyue Yin, Tianxiang Sun, Xipeng Qiu
2023	—	`conf`	Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning. ACL (1) Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang
2023	J	`jnl`	Origin Tracing and Detecting of LLMs. CoRR Linyang Li, Pengyu Wang, Ke Ren, Tianxiang Sun, Xipeng Qiu
2023	J	`jnl`	Secrets of RLHF in Large Language Models Part I: PPO. CoRR Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang
2022	—	`conf`	A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. ACL (Findings) Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. CoRR Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning. CoRR Tianxiang Sun, Zhengfu He, Hong Qian, Xuanjing Huang, Xipeng Qiu
2022	A*	`conf`	BBTv2: Towards a Gradient-Free Future with Large Language Models. EMNLP Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
2022	A*	`conf`	BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. EMNLP Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang
2022	J	`jnl`	BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. CoRR Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang
2022	A*	`conf`	Black-Box Tuning for Language-Model-as-a-Service. ICML Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	Black-Box Tuning for Language-Model-as-a-Service. CoRR Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. CoRR Zhengfu He, Tianxiang Sun, Kuanning Wang, Xuanjing Huang, Xipeng Qiu
2022	—	`conf`	Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. EMNLP (Findings) Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. CoRR Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning. CoRR Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang
2022	J	`jnl`	Paradigm Shift in Natural Language Processing. Int. J. Autom. Comput. Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang
2022	—	`conf`	Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. NAACL-HLT Xiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
2021	—	`conf`	Accelerating BERT Inference for Sequence Labeling via Early-Exit. ACL/IJCNLP (1) Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang
2021	J	`jnl`	Accelerating BERT Inference for Sequence Labeling via Early-Exit. CoRR Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang
2021	—	`conf`	Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. NAACL-HLT Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu
2021	J	`jnl`	Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. CoRR Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu
2021	J	`jnl`	Early Exiting with Ensemble Internal Classifiers. CoRR Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
2021	J	`jnl`	Learning to Teach with Student Feedback. CoRR Yitao Liu, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang
2021	J	`jnl`	Paradigm Shift in Natural Language Processing. CoRR Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang
2021	J	`jnl`	Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. CoRR Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
2020	B	`conf`	CoLAKE: Contextualized Language and Knowledge Embedding. COLING Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
2020	J	`jnl`	CoLAKE: Contextualized Language and Knowledge Embedding. CoRR Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
2020	A*	`conf`	Learning Sparse Sharing Architectures for Multiple Tasks. AAAI Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang
2020	J	`jnl`	Pre-trained Models for Natural Language Processing: A Survey. CoRR Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang
2019	J	`jnl`	Learning Sparse Sharing Architectures for Multiple Tasks. CoRR Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang