Similarity Search Combining Query Relaxation and Diversification. - Ruoxi Shi; Hongzhi Wang 001; Tao Wang 014; Yutai Hou; Yiwen Tang (CoRR, 2016)

Similarity Search Combining Query Relaxation and Diversification. - Ruoxi Shi; Hongzhi Wang 001; Tao Wang 014; Yutai Hou; Yiwen Tang; Jianzhong Li 001; Hong Gao 001 (DASFAA (2), 2017)

A Statistical Framework for Product Description Generation. - Jinpeng Wang 001; Yutai Hou; Jing Liu 022; Yunbo Cao; Chin-Yew Lin (IJCNLP(2), 2017)

Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding. - Yutai Hou; Yijia Liu; Wanxiang Che; Ting Liu 001 (COLING, 2018)

A Corpus-Free State2Seq User Simulator for Task-Oriented Dialogue. - Yutai Hou; Meng Fang; Wanxiang Che; Ting Liu 001 (CCL, 2019)

Few-Shot Sequence Labeling with Label Dependency Transfer. - Yutai Hou; Zhihan Zhou 001; Yijia Liu; Ning Wang; Wanxiang Che; Han Liu 001; Ting Liu 001 (CoRR, 2019)

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network. - Yutai Hou; Wanxiang Che; Yongkui Lai; Zhihan Zhou 001; Yijia Liu; Han Liu 001; Ting Liu 001 (ACL, 2020)

Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. - Sanyuan Chen; Yutai Hou; Yiming Cui 001; Wanxiang Che; Ting Liu 001; Xiangzhan Yu (EMNLP (1), 2020)

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding. - Yutai Hou; Jiafeng Mao; Yongkui Lai; Cheng Chen; Wanxiang Che; Zhigang Chen 003; Ting Liu 001 (CoRR, 2020)

From static to dynamic word representations: a survey. - Yuxuan Wang 001; Yutai Hou; Wanxiang Che; Ting Liu 001 (Int. J. Mach. Learn. Cybern., 2020)

C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. - Yutai Hou; Sanyuan Chen; Wanxiang Che; Cheng Chen; Ting Liu 001 (AAAI, 2021)

Few-shot Learning for Multi-label Intent Detection. - Yutai Hou; Yongkui Lai; Yushan Wu; Wanxiang Che; Ting Liu 001 (AAAI, 2021)

Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling. - Yutai Hou; Yongkui Lai; Cheng Chen; Wanxiang Che; Ting Liu 001 (ACL/IJCNLP (Findings), 2021)

Discovering Drug-Target Interaction Knowledge from Biomedical Literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Wanxiang Che; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging. - Yutai Hou; Cheng Chen; Xianzhen Luo; Bohan Li; Wanxiang Che (ACL (Findings), 2022)

MetaPrompting: Learning to Learn Better Prompts. - Yutai Hou; Hongyuan Dong; Xinghao Wang; Bohan Li; Wanxiang Che (COLING, 2022)

Language Anisotropic Cross-Lingual Model Editing. - Yang Xu 049; Yutai Hou; Wanxiang Che (CoRR, 2022)

Adaptive Correlation Integration for Deep Image Clustering. - Yushan Wu; Rui Wu 002; Yutai Hou; Jiafeng Liu; Xianglong Tang (Neurocomputing, 2022)

FewJoint: few-shot learning for joint dialogue understanding. - Yutai Hou; Xinghao Wang; Cheng Chen; Bohan Li; Wanxiang Che; Zhigang Chen 003 (Int. J. Mach. Learn. Cybern., 2022)

Data augmentation approaches in natural language processing: A survey. - Bohan Li; Yutai Hou; Wanxiang Che (AI Open, 2022)

Discovering drug-target interaction knowledge from biomedical literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Tao Qin 001; Tie-Yan Liu (Bioinform., 2022)

Language Anisotropic Cross-Lingual Model Editing. - Yang Xu 049; Yutai Hou; Wanxiang Che; Min Zhang 005 (ACL (Findings), 2023)

Semantic-Guided Image Augmentation with Pre-trained Models. - Bohan Li; Xinghao Wang; Xiao Xu 005; Yutai Hou; Yunlong Feng; Feng Wang; Wanxiang Che (CoRR, 2023)

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning. - Bohan Li; Longxu Dou; Yutai Hou; Yunlong Feng; Honglin Mu; Wanxiang Che (CoRR, 2023)

Automatic Instruction Optimization for Open-source LLM Instruction Tuning. - Yilun Liu 001; Shimin Tao; Xiaofeng Zhao; Ming Zhu 010; Wenbing Ma; Junhao Zhu; Chang Su 001; Yutai Hou; Miao Zhang; Min Zhang 042; Hongxia Ma; Li Zhang; et al. (CoRR, 2023)

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. - Bohan Li; Xiao Xu 005; Xinghao Wang; Yutai Hou; Yunlong Feng; Feng Wang; Xuanliang Zhang; Qingfu Zhu; Wanxiang Che (AAAI, 2024)

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. - Shijue Huang; Wanjun Zhong; Jianqiao Lu; Qi Zhu 011; Jiahui Gao; Weiwen Liu; Yutai Hou; Xingshan Zeng; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Ruifeng Xu 001; et al. (ACL (Findings), 2024)

Concise and Precise Context Compression for Tool-Using Language Models. - Yang Xu 049; Yunlong Feng; Honglin Mu; Yutai Hou; Yitong Li; Xinghao Wang; Wanjun Zhong; Zhongyang Li; Dandan Tu; Qingfu Zhu; Min Zhang 005; Wanxiang Che (ACL (Findings), 2024)

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities. - Honglin Mu; Yang Xu 049; Yunlong Feng; Xiaofeng Han; Yitong Li; Yutai Hou; Wanxiang Che (LREC/COLING, 2024)

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning. - Yilun Liu 001; Shimin Tao; Xiaofeng Zhao; Ming Zhu 010; Wenbing Ma; Junhao Zhu; Chang Su 001; Yutai Hou; Miao Zhang; Min Zhang; Hongxia Ma; Li Zhang; et al. (ICDE, 2024)

ToolACE: Winning the Points of LLM Function Calling. - Weiwen Liu; Xu Huang 008; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang 004; Yuxian Wang; et al. (ICLR, 2025)

Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. - Yirong Zeng; Xiao Ding; Yuxian Wang; Weiwen Liu; Wu Ning; Yutai Hou; Xu Huang 008; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning. - Bohan Li; Longxu Dou; Yutai Hou; Yunlong Feng; Honglin Mu; Enbo Wang; Qingfu Zhu; Qinghua Sun; Wanxiang Che (Int. J. Mach. Learn. Cybern., 2025)