Xuanjing Huang

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 369

Top Venues

Publications

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)
Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. CoRR (2024)
Shihan Dou, Yan Liu, Haoxiang Jia, Limao Xiong, Enyu Zhou, Wei Shen, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Xuanjing Huang, Tao Gui
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. 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)
Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang
LLaMA Beyond English: An Empirical Study on Language Capability Transfer. CoRR (2024)
Wei Chen, Hengxu Lin, Qun Zhang, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei
CauESC: A Causal Aware Model for Emotional Support Conversation. CoRR (2024)
Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
LongHeads: Multi-Head Attention is Secretly a Long Context Processor. CoRR (2024)
Tianlong Li, Xiaoqing Zheng, Xuanjing Huang
Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering. CoRR (2024)
Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Qi Zhang, Tao Gui, Xuanjing Huang
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. CoRR (2024)
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. CoRR (2024)
Ruotian Ma, Xiaolei Wang, Xin Zhou, Jian Li, Nan Du, Tao Gui, Qi Zhang, Xuanjing Huang
Are Large Language Models Good Prompt Optimizers? CoRR (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)
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. CoRR (2024)
Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. CoRR (2024)
Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, Zhongyu Wei
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning. CoRR (2023)
Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Xuanjing Huang, Zhongyu Wei
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. CoRR (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)
Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. 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)
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. EMNLP (Findings) (2023)
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. CoRR (2023)
Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Tao Gui, Qi Zhang, Xuanjing Huang
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. CoRR (2023)
Ruotian Ma, Xiaolei Wang, Xin Zhou, Qi Zhang, Xuanjing Huang
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View. EMNLP (2023)
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
Making Harmful Behaviors Unlearnable for Large Language Models. CoRR (2023)
Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
A benchmark for automatic medical consultation system: frameworks, tasks and datasets. Bioinform. 39 (1) (2023)
Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. EMNLP (Findings) (2023)
Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
Orthogonal Subspace Learning for Language Model Continual Learning. EMNLP (Findings) (2023)
Ting Wu, Jingyi Liu, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. CoRR (2023)
Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang
RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. EMNLP (Findings) (2023)
Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. CoRR (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)
Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yunwen Chen, Xiang Gao, Xuanjing Huang
Open Set Relation Extraction via Unknown-Aware Training. CoRR (2023)
Muling Wu, Wenhao Liu, Jianhan Xu, Changze Lv, Zixuan Ling, Tianlong Li, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts. EMNLP (Findings) (2023)
Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. CoRR (2023)
Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei
Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. 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. CoRR (2023)
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. 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. EMNLP (Findings) (2023)
Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, Xuanjing Huang
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. EMNLP (Findings) (2023)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang
Do Large Language Models Know What They Don't Know? 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. EMNLP (2023)
Ruoxue Ma, Jiarong Xu, Xinnong Zhang, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei
One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling. EMNLP (Findings) (2023)
Haoyu Kuang, Jiarong Xu, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei
Unleashing the Power of Language Models in Text-Attributed Graph. EMNLP (Findings) (2023)
Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. EMNLP (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)
Chenxi Gu, Xiaoqing Zheng, Jianhan Xu, Muling Wu, Cenyuan Zhang, Chengsong Huang, Hua Cai, Xuanjing Huang
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation. EMNLP (Findings) (2023)
Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf
From Hypergraph Energy Functions to Hypergraph Neural Networks. ICML (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)
Songyang Gao, Shihan Dou, Junjie Shan, Qi Zhang, Xuanjing Huang
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing. CoRR (2023)
Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Gui Tao, Qi Zhang, Xuanjing Huang
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. CoRR (2023)
Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang
Orthogonal Subspace Learning for Language Model Continual Learning. CoRR (2023)
Xiaohua Wang, Yuliang Yan, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. EMNLP (2023)
Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, Zhongyu Wei
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation. CoRR (2023)
Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei
Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. EMNLP (2023)
Wei Chen, Gang Zhao, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning. CoRR (2023)
Yuxin Wang, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf
Efficient Link Prediction via GNN Layers Induced by Negative Sampling. CoRR (2023)
Yuliang Yan, Xiaohua Wang, Xiang Zhou, Xiaoqing Zheng, Xuanjing Huang
Measure Children's Mindreading Ability with Machine Reading. EMNLP (Findings) (2023)
Xiao Wang, Yuansen Zhang, Tianze Chen, Songyang Gao, Senjie Jin, Xianjun Yang, Zhiheng Xi, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models. CoRR (2023)
Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Junjie Shan, Qi Zhang, Yueming Wu, Xuanjing Huang
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. COLING (2022)
Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
What Dense Graph Do You Need for Self-Attention? ICML (2022)
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)
Qinzhuo Wu, Qi Zhang, Xuanjing Huang
Automatic Math Word Problem Generation With Topic-Expression Co-Attention Mechanism and Reinforcement Learning. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang
A Progressive Framework for Role-Aware Rumor Resolution. COLING (2022)
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
Black-Box Tuning for Language-Model-as-a-Service. ICML (2022)
Zichu Fei, Qi Zhang, Tao Gui, Di Liang, Sirui Wang, Wei Wu, Xuanjing Huang
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. ACL (1) (2022)
Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang
Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning. CoRR (2022)
Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. COLING (2022)
Zhengfu He, Tianxiang Sun, Kuanning Wang, Xuanjing Huang, Xipeng Qiu
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. CoRR (2022)
Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Efficient Adversarial Training with Robust Early-Bird Tickets. EMNLP (2022)
Cheng Zhong, Kangenbei Liao, Wei Chen, Qianlong Liu, Baolin Peng, Xuanjing Huang, Jiajie Peng, Zhongyu Wei
Hierarchical reinforcement learning for automatic disease diagnosis. Bioinform. 38 (16) (2022)
Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
Causal Intervention Improves Implicit Sentiment Analysis. COLING (2022)
Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. ACL (Findings) (2022)
Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering. CoRR (2022)
Zichu Fei, Xin Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases. COLING (2022)
Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. CoRR (2022)
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
Black-Box Tuning for Language-Model-as-a-Service. CoRR (2022)
Zejun Li, Zhihao Fan, Huaixiao Tou, Jingjing Chen, Zhongyu Wei, Xuanjing Huang
MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning. ACM Multimedia (2022)
Ruotian Ma, Xuanting Chen, Lin Zhang, Tao Gui, Qi Zhang, Xuanjing Huang
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER. CoRR (2022)
Zhangyue Yin, Yuxin Wang, Yiguang Wu, Hang Yan, Xiannian Hu, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
Rethinking Label Smoothing on Multi-hop Question Answering. CoRR (2022)
Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. CoRR (2022)
Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang
Weight Perturbation as Defense against Adversarial Word Substitutions. EMNLP (Findings) (2022)
Rui Zheng, Rong Bao, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang
Robust Lottery Tickets for Pre-trained Language Models. CoRR (2022)
Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
CoNT: Contrastive Neural Text Generation. CoRR (2022)
Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. EMNLP (2022)
Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Xuanjing Huang, Jianqing Fan
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval. NAACL-HLT (Findings) (2022)
Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Efficient Adversarial Training with Robust Early-Bird Tickets. 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)
Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu
CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. COLING (2022)
Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval. ICMR (2022)
Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. ACL (1) (2022)
Qin Liu, Rui Zheng, Bao Rong, Jingyi Liu, Zhihua Liu, Zhanzhan Cheng, Liang Qiao, Tao Gui, Qi Zhang, Xuanjing Huang
Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning. ACL (1) (2022)
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Jingyi Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
Sentiment-aware multimodal pre-training for multimodal sentiment analysis. Knowl. Based Syst. 258 (2022)
Zhihao Fan, Zhongyu Wei, Jingjing Chen, Siyuan Wang, Zejun Li, Jiarong Xu, Xuanjing Huang
A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training. CoRR (2022)
Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Qi Zhang, Yueming Wu, Xuanjing Huang
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. CoRR (2022)
Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering. COLING (2022)
Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang
Template-free Prompt Tuning for Few-shot NER. NAACL-HLT (2022)
Yuxing Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
What Dense Graph Do You Need for Self-Attention? CoRR (2022)
Xin Zhou, Jinzhu Lu, Tao Gui, Ruotian Ma, Zichu Fei, Yuran Wang, Yong Ding, Yibo Cheung, Qi Zhang, Xuanjing Huang
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. EMNLP (2022)

Xuanjing Huang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xuanjing Huang