Tianxiang Sun

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 55

Top Topics

Language Processing

Diffusion Models

Top Venues

Publications

Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. AAAI (2024)
Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. CoRR (2024)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. LREC/COLING (2024)
Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. ACL (Findings) (2024)
Qinyuan Cheng, Xiaonan Li, Shimin Li, Qin Zhu, Zhangyue Yin, Yunfan Shao, Linyang Li, Tianxiang Sun, Hang Yan, Xipeng Qiu
Unified Active Retrieval for Retrieval Augmented Generation. CoRR (2024)
Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu
Turn Waste into Worth: Rectifying Top-k Router of MoE. CoRR (2024)
Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu, Wenwei Zhang, Zhangyue Yin, Shimin Li, Linyang Li, Zhengfu He, Kai Chen, Xipeng Qiu
Can AI Assistants Know What They Don't Know? CoRR (2024)
Xiaonan Li, Changtai Zhu, Linyang Li, Zhangyue Yin, Tianxiang Sun, Xipeng Qiu
LLatrieval: LLM-Verified Retrieval for Verifiable Generation. NAACL-HLT (2024)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. CoRR (2024)
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, Yugang Jiang, Xipeng Qiu
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. CoRR (2024)
Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin
Flames: Benchmarking Value Alignment of LLMs in Chinese. NAACL-HLT (2024)
Zhengfu He, Xuyang Ge, Qiong Tang, Tianxiang Sun, Qinyuan Cheng, Xipeng Qiu
Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT. CoRR (2024)
Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. CoRR (2024)
Shimin Li, Tianxiang Sun, Xipeng Qiu
Agent Alignment in Evolving Social Norms. CoRR (2024)
Bo Wang, Tianxiang Sun, Hang Yan, Siyin Wang, Qingyuan Cheng, Xipeng Qiu
In-Memory Learning: A Declarative Learning Framework for Large Language Models. CoRR (2024)
Jiasheng Ye, Peiju Liu, Tianxiang Sun, Yunhua Zhou, Jun Zhan, Xipeng Qiu
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance. CoRR (2024)
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
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. ACL (1) (2024)
Linyang Li, Pengyu Wang, Ke Ren, Tianxiang Sun, Xipeng Qiu
Origin Tracing and Detecting of LLMs. CoRR (2023)
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
Secrets of RLHF in Large Language Models Part I: PPO. CoRR (2023)
Qinyuan Cheng, Tianxiang Sun, Wenwei Zhang, Siyin Wang, Xiangyang Liu, Mozhi Zhang, Junliang He, Mianqiu Huang, Zhangyue Yin, Kai Chen, Xipeng Qiu
Evaluating Hallucinations in Chinese Large Language Models. CoRR (2023)
Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning. ACL (1) (2023)
Zhengfu He, Tianxiang Sun, Qiong Tang, Kuanning Wang, Xuanjing Huang, Xipeng Qiu
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. ACL (1) (2023)
Xiaonan Li, Changtai Zhu, Linyang Li, Zhangyue Yin, Tianxiang Sun, Xipeng Qiu
LLatrieval: LLM-Verified Retrieval for Verifiable Generation. CoRR (2023)
Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. CoRR (2023)
Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. ACL (1) (2023)
Qinyuan Cheng, Xiaogui Yang, Tianxiang Sun, Linyang Li, Xipeng Qiu
Improving Contrastive Learning of Sentence Embeddings from AI Feedback. CoRR (2023)
Qinyuan Cheng, Xiaogui Yang, Tianxiang Sun, Linyang Li, Xipeng Qiu
Improving Contrastive Learning of Sentence Embeddings from AI Feedback. ACL (Findings) (2023)
Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin
Flames: Benchmarking Value Alignment of Chinese Large Language Models. CoRR (2023)
Tianxiang Sun, Zhengfu He, Hong Qian, Xuanjing Huang, Xipeng Qiu
BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning. CoRR (2022)
Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. ACL (Findings) (2022)
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
Black-Box Tuning for Language-Model-as-a-Service. ICML (2022)
Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang
Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning. CoRR (2022)
Zhengfu He, Tianxiang Sun, Kuanning Wang, Xuanjing Huang, Xipeng Qiu
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. CoRR (2022)
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
Black-Box Tuning for Language-Model-as-a-Service. CoRR (2022)
Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. CoRR (2022)
Xiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. NAACL-HLT (2022)
Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. EMNLP (2022)
Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
BBTv2: Towards a Gradient-Free Future with Large Language Models. EMNLP (2022)
Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. EMNLP (Findings) (2022)
Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. CoRR (2022)
Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. CoRR (2022)
Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuan-Jing Huang
Paradigm Shift in Natural Language Processing. Int. J. Autom. Comput. 19 (3) (2022)
Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang
Paradigm Shift in Natural Language Processing. CoRR (2021)
Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang
Accelerating BERT Inference for Sequence Labeling via Early-Exit. ACL/IJCNLP (1) (2021)
Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. NAACL-HLT (2021)
Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. CoRR (2021)
Yitao Liu, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang
Learning to Teach with Student Feedback. CoRR (2021)
Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. CoRR (2021)
Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang
Accelerating BERT Inference for Sequence Labeling via Early-Exit. CoRR (2021)
Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
Early Exiting with Ensemble Internal Classifiers. CoRR (2021)
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
CoLAKE: Contextualized Language and Knowledge Embedding. CoRR (2020)
Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang
Learning Sparse Sharing Architectures for Multiple Tasks. AAAI (2020)
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
CoLAKE: Contextualized Language and Knowledge Embedding. COLING (2020)
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang
Pre-trained Models for Natural Language Processing: A Survey. CoRR (2020)
Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang
Learning Sparse Sharing Architectures for Multiple Tasks. CoRR (2019)