Xipeng Qiu

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 363

Top Venues

Publications

Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder. CoRR (2024)
Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
MouSi: Poly-Visual-Expert Vision-Language Models. CoRR (2024)
Yuhong Sun, Zhangyue Yin, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Hui Zhao
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem. LREC/COLING (2024)
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. CoRR (2024)
Jinlan Fu, Shenzhen Huangfu, Hang Yan, See-Kiong Ng, Xipeng Qiu
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge. CoRR (2024)
Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR (2024)
Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. AAAI (2024)
Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang
Cross-Modality Safety Alignment. CoRR (2024)
Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin
Scaling Laws of RoPE-based Extrapolation. ICLR (2024)
Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR (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)
Dong Zhang, Zhaowei Li, Pengyu Wang, Xin Zhang, Yaqian Zhou, Xipeng Qiu
SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems. CoRR (2024)
Yitao Liu, Chenxin An, Xipeng Qiu
$$\cal{Y}$$-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning. Frontiers Comput. Sci. 18 (4) (2024)
Yunhua Zhou, Pengyu Wang, Peiju Liu, Yuxin Wang, Xipeng Qiu
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification. LREC/COLING (2024)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. ACL (1) (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)
Dong Zhang, Xin Zhang, Jun Zhan, Shimin Li, Yaqian Zhou, Xipeng Qiu
SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation. CoRR (2024)
Xuyang Ge, Fukang Zhu, Wentao Shu, Junxuan Wang, Zhengfu He, Xipeng Qiu
Automatically Identifying Local and Global Circuits with Linear Computation Graphs. 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. 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)
Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Ke Ren, Botian Jiang, Xipeng Qiu
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance. CoRR (2024)
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. ACL (Findings) (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)
Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang, Xipeng Qiu
Scaling Laws for Fact Memorization of Large Language Models. CoRR (2024)
Yunfan Shao, Linyang Li, Zhaoye Fei, Hang Yan, Dahua Lin, Xipeng Qiu
Balanced Data Sampling for Language Model Training with Clustering. 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)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. ACL (Findings) (2024)
Xiaonan Li, Changtai Zhu, Linyang Li, Zhangyue Yin, Tianxiang Sun, Xipeng Qiu
LLatrieval: LLM-Verified Retrieval for Verifiable Generation. NAACL-HLT (2024)
Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu
Calibrating the Confidence of Large Language Models by Eliciting Fidelity. CoRR (2024)
Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
Training-Free Long-Context Scaling of Large Language Models. CoRR (2024)
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. 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. CoRR (2024)
Kai Lv, Yuqing Yang, Tengxiao Liu, Qipeng Guo, Xipeng Qiu
Full Parameter Fine-tuning for Large Language Models with Limited Resources. ACL (1) (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)
Zhaoye Fei, Yunfan Shao, Linyang Li, Zhiyuan Zeng, Hang Yan, Xipeng Qiu, Dahua Lin
Query of CC: Unearthing Large Scale Domain-Specific Knowledge from Public Corpora. CoRR (2024)
Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Dingwen Yang, Chenyang Liao, Xin Guo, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments. 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)
Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder. ACL (1) (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)
Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
Secrets of RLHF in Large Language Models Part II: Reward Modeling. CoRR (2024)
Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. ACL (Findings) (2024)
Yunfan Shao, Zhichao Geng, Yitao Liu, Junqi Dai, Hang Yan, Fei Yang, Li Zhe, Hujun Bao, Xipeng Qiu
CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation. Sci. China Inf. Sci. 67 (5) (2024)
Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang
ChatGPT: potential, prospects, and limitations. Frontiers Inf. Technol. Electron. Eng. 25 (1) (2024)
Yu Sun, Keyuchen Keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. ACL (1) (2024)
Shimin Li, Tianxiang Sun, Xipeng Qiu
Agent Alignment in Evolving Social Norms. CoRR (2024)
Yuhong Sun, Zhangyue Yin, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Hui Zhao
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem. CoRR (2024)
Kai Lv, Xiaoran Liu, Qipeng Guo, Hang Yan, Conghui He, Xipeng Qiu, Dahua Lin
LongWanjuan: Towards Systematic Measurement for Long Text Quality. CoRR (2024)
Yunfan Shao, Linyang Li, Yichuan Ma, Peiji Li, Demin Song, Qinyuan Cheng, Shimin Li, Xiaonan Li, Pengyu Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
Case2Code: Learning Inductive Reasoning with Synthetic Data. CoRR (2024)
Dong Zhang, Zhaowei Li, Shimin Li, Xin Zhang, Pengyu Wang, Yaqian Zhou, Xipeng Qiu
SpeechAlign: Aligning Speech Generation to Human Preferences. CoRR (2024)
Yunfan Shao, Linyang Li, Zhaoye Fei, Hang Yan, Dahua Lin, Xipeng Qiu
Balanced Data Sampling for Language Model Training with Clustering. ACL (Findings) (2024)
Yi Zong, Xipeng Qiu
GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation. ACL (Findings) (2024)
Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning. CoRR (2024)
Xin Zhang, Dong Zhang, Shimin Li, Yaqian Zhou, Xipeng Qiu
SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. ICLR (2024)
Yu Sun, Keyu Chen, Shujie Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. CoRR (2024)
Qin Zhu, Qingyuan Cheng, Runyu Peng, Xiaonan Li, Tengxiao Liu, Ru Peng, Xipeng Qiu, Xuanjing Huang
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation. 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)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. 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)
Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin
Data-freeWeight Compress and Denoise for Large Language Models. CoRR (2024)
Yitao Liu, Chenxin An, Xipeng Qiu
Y-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning. Frontiers Comput. Sci. 18 (4) (2024)
Xiaoran Liu, Qipeng Guo, Yuerong Song, Zhigeng Liu, Kai Lv, Hang Yan, Linlin Li, Qun Liu, Xipeng Qiu
Farewell to Length Extrapolation, a Training-Free Infinite Context with Finite Attention Scope. CoRR (2024)
Yi Zong, Xipeng Qiu
GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation. CoRR (2024)
Linyang Li, Pengyu Wang, Ke Ren, Tianxiang Sun, Xipeng Qiu
Origin Tracing and Detecting of LLMs. CoRR (2023)
Pengyu Wang, Linyang Li, Ke Ren, Botian Jiang, Dong Zhang, Xipeng Qiu
SeqXGPT: Sentence-Level AI-Generated Text Detection. CoRR (2023)
Yunhua Zhou, Guofeng Quan, Xipeng Qiu
A Probabilistic Framework for Discovering New Intents. ACL (1) (2023)
Xin Zhang, Dong Zhang, Shimin Li, Yaqian Zhou, Xipeng Qiu
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models. 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)
Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu
Optimizing Non-Autoregressive Transformers with Contrastive Learning. CoRR (2023)
Linyang Li, Yong Dai, Duyu Tang, Xipeng Qiu, Zelin Xu, Shuming Shi
MarkBERT: Marking Word Boundaries Improves Chinese BERT. NLPCC (1) (2023)
Hang Yan, Yu Sun, Xiaonan Li, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction. ACL (1) (2023)
Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations. CoRR (2023)
Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. CoRR (2023)
Shimin Li, Xiaotian Zhang, Yanjun Zheng, Linyang Li, Xipeng Qiu
Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System. ACL (Findings) (2023)
Xiaonan Li, Xipeng Qiu
Finding Supporting Examples for In-Context Learning. 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)
Yunhua Zhou, Jiawei Hong, Xipeng Qiu
Towards Open Environment Intent Prediction. ACL (Findings) (2023)
Shimin Li, Xiaotian Zhang, Yanjun Zheng, Linyang Li, Xipeng Qiu
Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System. CoRR (2023)
Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. IEEE Trans. Big Data 9 (4) (2023)
Xiaotian Zhang, Yanjun Zheng, Hang Yan, Xipeng Qiu
Investigating Glyph-Phonetic Information for Chinese Spell Checking: What Works and What's Next? ACL (Findings) (2023)
Linyang Li, Ke Ren, Yunfan Shao, Pengyu Wang, Xipeng Qiu
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP. 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)
Zhigang Kan, Yanqi Shi, Zhangyue Yin, Liwen Peng, Linbo Qiao, Xipeng Qiu, Dongsheng Li
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios. Inf. Sci. 649 (2023)
Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. CoRR (2023)
Xiaowu Zhang, Xiaotian Zhang, Cheng Yang, Hang Yan, Xipeng Qiu
Does Correction Remain A Problem For Large Language Models? CoRR (2023)
Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. CoRR (2023)
Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu
Unified Demonstration Retriever for In-Context Learning. ACL (1) (2023)
Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, Xipeng Qiu
Full Parameter Fine-tuning for Large Language Models with Limited Resources. CoRR (2023)
Yunfan Shao, Linyang Li, Junqi Dai, Xipeng Qiu
Character-LLM: A Trainable Agent for Role-Playing. EMNLP (2023)
Dong Zhang, Shimin Li, Xin Zhang, Jun Zhan, Pengyu Wang, Yaqian Zhou, Xipeng Qiu
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities. CoRR (2023)
Yige Xu, Xipeng Qiu, Ligao Zhou, Xuan-Jing Huang
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation. J. Comput. Sci. Technol. 38 (4) (2023)
Xiaonan Li, Xipeng Qiu
Finding Support Examples for In-Context Learning. EMNLP (Findings) (2023)
Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. CoRR (2023)
Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. ACL (1) (2023)
Shimin Li, Qinyuan Cheng, Linyang Li, Xipeng Qiu
Mitigating Negative Style Transfer in Hybrid Dialogue System. AAAI (2023)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang
Do Large Language Models Know What They Don't Know? ACL (Findings) (2023)
Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf
From Hypergraph Energy Functions to Hypergraph Neural Networks. CoRR (2023)
Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang
Graph Structure Learning via Lottery Hypothesis at Scale. ACML (2023)

Xipeng Qiu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xipeng Qiu