Meta-Adapter: Efficient Cross-Lingual Adaptation With Meta-Learning. - Wenxin Hou; Yidong Wang 003; Shengzhou Gao; Takahiro Shinozaki (ICASSP, 2021)

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling. - Bowen Zhang; Yidong Wang 003; Wenxin Hou; Hao Wu 059; Jindong Wang 001; Manabu Okumura; Takahiro Shinozaki (NeurIPS, 2021)

Margin Calibration for Long-Tailed Visual Recognition. - Yidong Wang 003; Bowen Zhang; Wenxin Hou; Zhen Wu 002; Jindong Wang 001; Takahiro Shinozaki (ACML, 2022)

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. - Yidong Wang 003; Hao Wu 059; Ao Liu 008; Wenxin Hou; Zhen Wu 002; Jindong Wang 001; Takahiro Shinozaki; Manabu Okumura; Yue Zhang 004 (COLING, 2022)

USB: A Unified Semi-supervised Learning Benchmark for Classification. - Yidong Wang 003; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (NeurIPS, 2022)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. - Yidong Wang 003; Hao Chen 102; Qiang Heng; Wenxin Hou; Yue Fan; Zhen Wu 002; Marios Savvides; Takahiro Shinozaki; Bhiksha Raj; Bernt Schiele (CoRR, 2022)

USB: A Unified Semi-supervised Learning Benchmark. - Yidong Wang 003; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (CoRR, 2022)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Hao Chen 102; Ran Tao 013; Han Zhang 048; Yidong Wang 003; Wei Ye 004; Jindong Wang 001; Guosheng Hu; Marios Savvides (CoRR, 2022)

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. - Wang Lu; Jindong Wang 001; Yidong Wang 003; Kan Ren; Yiqiang Chen 001; Xing Xie 001 (CoRR, 2022)

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. - Wenxin Hou; Han Zhu 004; Yidong Wang 003; Jindong Wang 001; Tao Qin 001; Renjun Xu; Takahiro Shinozaki (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. - Chao Zhang 096; Fangzhao Wu; Jingwei Yi; Derong Xu; Yang Yu 038; Jindong Wang 001; Yidong Wang 003; Tong Xu 001; Xing Xie 001; Enhong Chen (CIKM, 2023)

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. - Hao Chen 102; Ran Tao 013; Yue Fan; Yidong Wang 003; Jindong Wang 001; Bernt Schiele; Xing Xie 001; Bhiksha Raj; Marios Savvides (ICLR, 2023)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. - Yidong Wang 003; Hao Chen 102; Qiang Heng; Wenxin Hou; Yue Fan; Zhen Wu 002; Jindong Wang 001; Marios Savvides; Takahiro Shinozaki; Bhiksha Raj; Bernt Schiele; Xing Xie 001 (ICLR, 2023)

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. - Hao Chen 102; Ran Tao 013; Yue Fan; Yidong Wang 003; Jindong Wang 001; Bernt Schiele; Xing Xie 001; Bhiksha Raj; Marios Savvides (CoRR, 2023)

Evaluating Open Question Answering Evaluation. - Cunxiang Wang; Sirui Cheng; Zhikun Xu; Bowen Ding; Yidong Wang 003; Yue Zhang 004 (CoRR, 2023)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang 003; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (CoRR, 2023)

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang 003; Linyi Yang; Wei Ye 004; Neil Zhenqiang Gong; Yue Zhang 004; Xing Xie 001 (CoRR, 2023)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang 003; Zhuohao Yu 001; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; Shikun Zhang; et al. (CoRR, 2023)

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. - Cunxiang Wang; Xiaoze Liu; Yuanhao Yue; Xiangru Tang; Tianhang Zhang; Cheng Jiayang; Yunzhi Yao; Wenyang Gao; Xuming Hu; Zehan Qi; Yidong Wang 003; Linyi Yang; et al. (CoRR, 2023)

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. - Zhuohao Yu 001; Chang Gao; Wenjin Yao; Yidong Wang 003; Wei Ye 004; Jindong Wang 001; Xing Xie 001; Yue Zhang 004; Shikun Zhang (ACL (1), 2024)

Enhancing In-Context Learning via Implicit Demonstration Augmentation. - Xiaoling Zhou; Wei Ye 004; Yidong Wang 003; Chaoya Jiang; Zhemg Lee; Rui Xie 003; Shikun Zhang (ACL (1), 2024)

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. - Zeyu Dong; Qingqing Long; Yihang Zhou; Pengfei Wang 008; Zhihong Zhu; Xiao Luo 001; Yidong Wang 003; Pengyang Wang; Yuanchun Zhou (CIKM, 2024)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Hao Chen 102; Ran Tao 013; Han Zhang 048; Yidong Wang 003; Xiang Li 106; Wei Ye 004; Jindong Wang 001; Guosheng Hu; Marios Savvides (CVPR Workshops, 2024)

PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness. - Wenjin Yao; Yidong Wang 003; Zhuohao Yu 001; Rui Xie 003; Shikun Zhang; Wei Ye 004 (EMNLP (Findings), 2024)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang 003; Zhuohao Yu 001; Wenjin Yao; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; et al. (ICLR, 2024)

Supervised Knowledge Makes Large Language Models Better In-context Learners. - Linyi Yang; Shuibai Zhang; Zhuohao Yu 001; Guangsheng Bao; Yidong Wang 003; Jindong Wang 001; Ruochen Xu; Wei Ye 004; Xing Xie 001; Weizhu Chen; Yue Zhang 004 (ICLR, 2024)

A General Framework for Learning from Weak Supervision. - Hao Chen 102; Jindong Wang 001; Lei Feng 006; Xiang Li 106; Yidong Wang 003; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (ICML, 2024)

CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. - Zhengran Zeng; Yidong Wang 003; Rui Xie 003; Wei Ye 004; Shikun Zhang (ISSTA, 2024)

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. - Hao Chen 102; Ankit Shah 001; Jindong Wang 001; Ran Tao 013; Yidong Wang 003; Xiang Li 106; Xing Xie 001; Masashi Sugiyama; Rita Singh; Bhiksha Raj (NeurIPS, 2024)

AutoSurvey: Large Language Models Can Automatically Write Surveys. - Yidong Wang 003; Qi Guo; Wenjin Yao; Hongbo Zhang; Xin Zhang 097; Zhen Wu 002; Meishan Zhang; Xinyu Dai; Min Zhang 005; Qingsong Wen; Wei Ye 004; Shikun Zhang; et al. (NeurIPS, 2024)

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. - Zhuohao Yu 001; Chang Gao; Wenjin Yao; Yidong Wang 003; Zhengran Zeng; Wei Ye 004; Jindong Wang 001; Yue Zhang 004; Shikun Zhang (CoRR, 2024)

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application. - Chuanpeng Yang; Wang Lu; Yao Zhu; Yidong Wang 003; Qian Chen; Chenlong Gao; Bingjie Yan; Yiqiang Chen 001 (CoRR, 2024)

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. - Xuanwang Zhang; Yunze Song; Yidong Wang 003; Shuyun Tang; Xinfeng Li; Zhengran Zeng; Zhen Wu 002; Wei Ye 004; Wenyuan Xu 001; Yue Zhang 004; Xinyu Dai; Shikun Zhang; et al. (CoRR, 2024)

A Survey on Evaluating Large Language Models in Code Generation Tasks. - Liguo Chen; Qi Guo; Hongrui Jia; Zhengran Zeng; Xin Wang 066; Yijiang Xu; Jian Wu; Yidong Wang 003; Qing Gao; Jindong Wang 001; Wei Ye 004; Shikun Zhang (CoRR, 2024)

ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation. - Yijiang Xu; Hongrui Jia; Liguo Chen; Xin Wang 066; Zhengran Zeng; Yidong Wang 003; Qing Gao; Jindong Wang 001; Wei Ye 004; Shikun Zhang; Zhonghai Wu (CoRR, 2024)

On the Diversity of Synthetic Data and its Impact on Training Large Language Models. - Hao Chen 102; Abdul Waheed; Xiang Li 106; Yidong Wang 003; Jindong Wang 001; Bhiksha Raj; Marah I Abdin (CoRR, 2024)

Outcome-Refining Process Supervision for Code Generation. - Zhuohao Yu 001; Weizheng Gu; Yidong Wang 003; Zhengran Zeng; Jindong Wang 001; Wei Ye 004; Shikun Zhang (CoRR, 2024)

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. - Jindong Wang 001; Xixu Hu; Wenxin Hou; Hao Chen 102; Runkai Zheng; Yidong Wang 003; Linyi Yang; Wei Ye 004; Haojun Huang; Xiubo Geng; Binxing Jiao; Yue Zhang 004; et al. (IEEE Data Eng. Bull., 2024)

Exploring Vision-Language Models for Imbalanced Learning. - Yidong Wang 003; Zhuohao Yu 001; Jindong Wang 001; Qiang Heng; Hao Chen 102; Wei Ye 004; Rui Xie 003; Xing Xie 001; Shikun Zhang (Int. J. Comput. Vis., 2024)

A Survey on Evaluation of Large Language Models. - Yupeng Chang; Xu Wang; Jindong Wang 001; Yuan Wu 002; Linyi Yang; Kaijie Zhu; Hao Chen 102; Xiaoyuan Yi; Cunxiang Wang; Yidong Wang 003; Wei Ye 004; Yue Zhang 004; et al. (ACM Trans. Intell. Syst. Technol., 2024)

Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought. - Zihui Cheng; Qiguang Chen; Xiao Xu 005; Jiaqi Wang 012; Weiyun Wang; Hao Fei 003; Yidong Wang 003; Alex Jinpeng Wang; Zhi Chen 006; Wanxiang Che; Libo Qin 001 (CoRR, 2025)

RewardAnything: Generalizable Principle-Following Reward Models. - Zhuohao Yu 001; Jiali Zeng; Weizheng Gu; Yidong Wang 003; Jindong Wang 001; Fandong Meng; Jie Zhou 016; Yue Zhang 004; Shikun Zhang; Wei Ye 004 (CoRR, 2025)

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. - Yidong Wang 003; Xin Wang 066; Cunxiang Wang; Junfeng Fang; Qiufeng Wang; Jianing Chu; Xuran Meng; Shuxun Yang; Libo Qin 001; Yue Zhang 004; Wei Ye 004; Shikun Zhang (CoRR, 2025)

SAEMark: Multi-bit LLM Watermarking with Inference-Time Scaling. - Zhuohao Yu 001; Xingru Jiang; Weizheng Gu; Yidong Wang 003; Shikun Zhang; Wei Ye 004 (CoRR, 2025)

Benchmarking and Studying the LLM-based Code Review. - Zhengran Zeng; Ruikai Shi; Keke Han; Yixin Li; Kaicheng Sun; Yidong Wang 003; Zhuohao Yu 001; Rui Xie 003; Wei Ye 004; Shikun Zhang (CoRR, 2025)

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them. - Yidong Wang 003; Yunze Song; Tingyuan Zhu; Xuanwang Zhang; Zhuohao Yu 001; Hao Chen 102; Chiyu Song; Qiufeng Wang; Cunxiang Wang; Zhen Wu 002; Xinyu Dai; Yue Zhang 004; et al. (CoRR, 2025)