Xuanjing Huang

ORCID

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 120

Top Venues

Publications

Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. AAAI (2024)
Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. ACL (1) (2024)
Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Aligning Large Language Models with Human Preferences through Representation Engineering. ACL (1) (2024)
Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. CoRR (2024)
Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. ACL (1) (2024)
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. CoRR (2024)
Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu
Toward Optimal LLM Alignments Using Two-Player Games. CoRR (2024)
Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang
Cross-Modality Safety Alignment. CoRR (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)
Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei
Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM. CoRR (2024)
Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. CoRR (2024)
Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. CoRR (2024)
Jiayu Lin, Guanrong Chen, Bojun Jin, Chenyang Li, Shutong Jia, Wancong Lin, Yang Sun, Yuhang He, Caihua Yang, Jianzhu Bao, Jipeng Wu, Wen Su, Jinglu Chen, Xinyi Li, Tianyu Chen, Mingjie Han, Shuaiwen Du, Zijian Wang, Jiyin Li, Fuzhong Suo, Hao Wang, Nuanchen Lin, Xuanjing Huang, Changjian Jiang, RuiFeng Xu, Long Zhang, Jiuxin Cao, Ting Jin, Zhongyu Wei
Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks. CoRR (2024)
Mengfei Du, Binhao Wu, Jiwen Zhang, Zhihao Fan, Zejun Li, Ruipu Luo, Xuanjing Huang, Zhongyu Wei
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning. CoRR (2024)
Xinyi Mou, Zhongyu Wei, Xuanjing Huang
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation. CoRR (2024)
Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei
ALaRM: Align Language Models via Hierarchical Rewards Modeling. CoRR (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)
Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin
Navigating the OverKill in Large Language Models. ACL (1) (2024)
Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. ICLR (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)
Yuming Yang, Wantong Zhao, Caishuang Huang, Junjie Ye, Xiao Wang, Huiyuan Zheng, Yang Nan, Yuran Wang, Xueying Xu, Kaixin Huang, Yunke Zhang, Tao Gui, Qi Zhang, Xuanjing Huang
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. CoRR (2024)
Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang
Searching for Best Practices in Retrieval-Augmented Generation. CoRR (2024)
Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. ACL (1) (2024)
Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. CoRR (2024)
Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang
Making Harmful Behaviors Unlearnable for Large Language Models. ACL (Findings) (2024)
Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang
A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. ICASSP (2024)
Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang, Xipeng Qiu
Scaling Laws for Fact Memorization of Large Language Models. CoRR (2024)
Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. CoRR (2024)
Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. LREC/COLING (2024)
Wei He, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models. CoRR (2024)
Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. CoRR (2024)
Libo Sun, Siyuan Wang, Xuanjing Huang, Zhongyu Wei
Identity-Driven Hierarchical Role-Playing Agents. CoRR (2024)
Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, Zhongyu Wei
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models. CoRR (2024)
Caishuang Huang, Wanxu Zhao, Rui Zheng, Huijie Lv, Shihan Dou, Sixian Li, Xiao Wang, Enyu Zhou, Junjie Ye, Yuming Yang, Tao Gui, Qi Zhang, Xuanjing Huang
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance. CoRR (2024)
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. LREC/COLING (2024)
Jingcong Liang, Junlong Wang, Xinyu Zhai, Yungui Zhuang, Yiyang Zheng, Xin Xu, Xiandong Ran, Xiaozheng Dong, Honghui Rong, Yanlun Liu, Hao Chen, Yuhan Wei, Donghai Li, Jiajie Peng, Xuanjing Huang, Chongde Shi, Yansong Feng, Yun Song, Zhongyu Wei
Overview of the CAIL 2023 Argument Mining Track. CoRR (2024)
Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li
Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline. 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)
Zisu Huang, Xiaohua Wang, Feiran Zhang, Zhibo Xu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement. CoRR (2024)
Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
Length Generalization of Causal Transformers without Position Encoding. ACL (Findings) (2024)
Cenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao, Jianfeng Feng
Decoding Continuous Character-based Language from Non-invasive Brain Recordings. CoRR (2024)
Siyuan Wang, Zhuohan Long, Zhihao Fan, Zhongyu Wei, Xuanjing Huang
Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation. CoRR (2024)
Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. 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)
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)
Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei
Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM. ACL (Findings) (2024)
Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
MetaRM: Shifted Distributions Alignment via Meta-Learning. CoRR (2024)
Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. ACL (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)
Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
Length Generalization of Causal Transformers without Position Encoding. CoRR (2024)
Nuo Xu, Jun Zhao, Can Zu, Tao Gui, Qi Zhang, Xuanjing Huang
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. CoRR (2024)
Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang
Unveiling Linguistic Regions in Large Language Models. ACL (1) (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)
Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. CoRR (2024)
Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. ACL (1) (2024)
Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu, Kun Wu, Siming Chen, Jiebo Luo, Xuanjing Huang, Zhongyu Wei
SoMeLVLM: A Large Vision Language Model for Social Media Processing. CoRR (2024)
Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. LREC/COLING (2024)
Jun Zhao, Can Zu, Hao Xu, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration. CoRR (2024)
Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model. CoRR (2024)
Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei
HAF-RM: A Hybrid Alignment Framework for Reward Model Training. CoRR (2024)
Huijie Lv, Xiao Wang, Yuansen Zhang, Caishuang Huang, Shihan Dou, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models. CoRR (2024)
Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks. CoRR (2024)
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. CoRR (2024)
Xinyi Mou, Zhongyu Wei, Xuanjing Huang
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation. ACL (Findings) (2024)
Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. LREC/COLING (2024)
Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning. CoRR (2024)
Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, Xuanjing Huang
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. CoRR (2024)
Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei
ALaRM: Align Language Models via Hierarchical Rewards Modeling. ACL (Findings) (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)
Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. LREC/COLING (2024)
Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu, Kun Wu, Siming Chen, Jiebo Luo, Xuanjing Huang, Zhongyu Wei
SoMeLVLM: A Large Vision Language Model for Social Media Processing. ACL (Findings) (2024)
Weikang Zhou, Xiao Wang, Limao Xiong, Han Xia, Yingshuang Gu, Mingxu Chai, Fukang Zhu, Caishuang Huang, Shihan Dou, Zhiheng Xi, Rui Zheng, Songyang Gao, Yicheng Zou, Hang Yan, Yifan Le, Ruohui Wang, Lijun Li, Jing Shao, Tao Gui, Qi Zhang, Xuanjing Huang
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models. CoRR (2024)
Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang
Unveiling Linguistic Regions in Large Language Models. CoRR (2024)
Mengfei Du, Binhao Wu, Jiwen Zhang, Zhihao Fan, Zejun Li, Ruipu Luo, Xuanjing Huang, Zhongyu Wei
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning. LREC/COLING (2024)
Ningyu Xu, Qi Zhang, Menghan Zhang, Peng Qian, Xuanjing Huang
On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe. CoRR (2024)
Libo Sun, Siyuan Wang, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei
Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization. LREC/COLING (2024)
Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. CoRR (2023)
Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao, Xuanjing Huang
Open Set Relation Extraction via Unknown-Aware Training. ACL (1) (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)
Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. ACL (Findings) (2023)
Jiehang Zeng, Jianhan Xu, Xiaoqing Zheng, Xuanjing Huang
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. Comput. Linguistics 49 (2) (2023)
Wei Chen, Shiqi Wei, Zhongyu Wei, Xuanjing Huang
KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition. CoRR (2023)
Changze Lv, Tianlong Li, Jianhan Xu, Chenxi Gu, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT. CoRR (2023)
Ningyu Xu, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization. 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)
Yi Zhou, Xiaoqing Zheng, Xuanjing Huang
Chinese Named Entity Recognition Augmented with Lexicon Memory. J. Comput. Sci. Technol. 38 (5) (2023)
Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. ACL (Findings) (2023)
Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services. CoRR (2023)
Jun Zhao, Zhihao Zhang, Yide Ma, Qi Zhang, Tao Gui, Luhui Gao, Xuanjing Huang
Unveiling A Core Linguistic Region in Large Language Models. CoRR (2023)
Leiyuan Chen, Chengsong Huang, Xiaoqing Zheng, Jinshu Lin, Xuanjing Huang
TableVLM: Multi-modal Pre-training for Table Structure Recognition. ACL (1) (2023)
Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Aligning Large Language Models with Human Preferences through Representation Engineering. CoRR (2023)
Zejun Li, Zhihao Fan, Jingjing Chen, Qi Zhang, Xuanjing Huang, Zhongyu Wei
Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training. ACL (1) (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)
Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. ACL (Findings) (2023)
Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. CoRR (2023)
Xinyi Mou, Zhongyu Wei, Qi Zhang, Xuanjing Huang
UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language. ACL (1) (2023)
Siyuan Wang, Zhongyu Wei, Meng Han, Zhihao Fan, Haijun Shan, Qi Zhang, Xuanjing Huang
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs. CoRR (2023)

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Publication Activity (10 Years)

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Xuanjing Huang