Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction. - Yanjie Gou; Yinjie Lei; Lingqiao Liu; Yong Dai 001; Chunxu Shen; Yongqi Tong (CoRR, 2022)

ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. - Zi Lin; Zihan Wang 001; Yongqi Tong; Yangkun Wang; Yuxin Guo; Yujia Wang; Jingbo Shang (EMNLP (Findings), 2023)

Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. - Yongqi Tong; Yifan Wang; Dawei Li; Sizhe Wang; Zi Lin; Simeng Han; Jingbo Shang (CoRR, 2023)

Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. - Yongqi Tong; Dawei Li; Sizhe Wang; Yujia Wang; Fei Teng; Jingbo Shang (ACL (1), 2024)

Optimizing Language Model's Reasoning Abilities with Weak Supervision. - Yongqi Tong; Sizhe Wang; Dawei Li; Yifan Wang; Simeng Han; Zi Lin; Chengsong Huang; Jiaxin Huang 001; Jingbo Shang (CoRR, 2024)

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment. - Sizhe Wang; Yongqi Tong; Hengyuan Zhang; Dawei Li 008; Xin Zhang; Tianlong Chen 001 (NAACL (Long Papers), 2025)

REWARD CONSISTENCY: Improving Multi-Objective Alignment from a Data-Centric Perspective. - Zhihao Xu; Yongqi Tong; Xin Zhang; Jun Zhou; Xiting Wang (CoRR, 2025)

Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary. - Licheng Pan; Yongqi Tong; Xin Zhang; Xiaolu Zhang; Jun Zhou 011; Zhixuan Chu (CoRR, 2025)