Tingfeng Hui - RankMe

19 papers A 2Misc 3Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards. CoRR Bowen Ping, Zijun Chen, Yiyao Yu, Tingfeng Hui, Junchi Yan, Baobao Chang
2025	J	`jnl`	DecIF: Improving Instruction-Following through Meta-Decomposition. CoRR Tingfeng Hui, Pengyu Zhu, Bowen Ping, Ling Tang, Yaqi Zhang, Sen Su
2025	—	`conf`	HFT: Half Fine-Tuning for Large Language Models. ACL (1) Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu
2025	A	`conf`	Unlocking the Potential of Smaller Language Models as Superior Instruction Evolvers. CIKM Tingfeng Hui, Lulu Zhao, Guanting Dong, Yaqi Zhang, Sen Su
2025	—	`conf`	Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging. ACL (1) Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Yu Sun, Hua Wu, Sen Su
2024	J	`jnl`	HFT: Half Fine-Tuning for Large Language Models. CoRR Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu
2024	Misc	`conf`	Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. ICASSP Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu
2024	J	`jnl`	Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task. CoRR Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu
2024	J	`jnl`	Smaller Language Models Are Better Instruction Evolvers. CoRR Tingfeng Hui, Lulu Zhao, Guanting Dong, Yaqi Zhang, Hua Zhou, Sen Su
2024	J	`jnl`	Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging. CoRR Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Yu Sun, Hua Wu, Sen Su
2023	A	`conf`	A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu
2023	J	`jnl`	A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu
2023	Misc	`conf`	A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, Qixiang Gao, Weiran Xu
2023	—	`conf`	DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
2023	J	`jnl`	DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
2023	—	`conf`	Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
2023	J	`jnl`	Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
2023	Misc	`conf`	Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu
2023	J	`jnl`	Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu