There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. - Tingchen Fu; Xueliang Zhao; Chongyang Tao; Ji-Rong Wen; Rui Yan 001 (ACL (1), 2022)

There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning. - Xueliang Zhao; Tingchen Fu; Chongyang Tao; Rui Yan 001 (EMNLP, 2022)

Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. - Xueliang Zhao; Lemao Liu; Tingchen Fu; Shuming Shi 001; Dongyan Zhao 001; Rui Yan 001 (EMNLP, 2022)

Learning to Express in Knowledge-Grounded Conversation. - Xueliang Zhao; Tingchen Fu; Chongyang Tao; Wei Wu 014; Dongyan Zhao 001; Rui Yan 001 (NAACL-HLT, 2022)

Learning towards conversational AI: A survey. - Tingchen Fu; Sheng Gao 001; Xueliang Zhao; Ji-Rong Wen; Rui Yan 001 (AI Open, 2022)

On the Compositional Generalization in Versatile Open-domain Dialogue. - Tingchen Fu; Xueliang Zhao; Lemao Liu; Rui Yan 001 (ACL (1), 2023)

SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. - Xueliang Zhao; Tingchen Fu; Lemao Liu; Lingpeng Kong; Shuming Shi 001; Rui Yan 001 (ACL (Findings), 2023)

Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue. - Tingchen Fu; Xueliang Zhao; Lemao Liu; Rui Yan 001 (EMNLP (Findings), 2023)

Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-turn Conversations. - Tingchen Fu; Xueliang Zhao; Rui Yan 001 (KDD, 2023)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. - Yue Zhang 004; Yafu Li; Leyang Cui; Deng Cai 002; Lemao Liu; Tingchen Fu; Xinting Huang; Enbo Zhao; Yu Zhang 092; Yulong Chen 001; Longyue Wang; Anh Tuan Luu; et al. (CoRR, 2023)

Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction. - Tingchen Fu; Deng Cai 002; Lemao Liu; Shuming Shi 001; Rui Yan 001 (ACL (Findings), 2024)

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. - Xueliang Zhao; Xinting Huang; Tingchen Fu; Qintong Li; Shansan Gong; Lemao Liu; Wei Bi; Lingpeng Kong (ACL (Findings), 2024)

The Reasonableness Behind Unreasonable Translation Capability of Large Language Model. - Tingchen Fu; Lemao Liu; Deng Cai 002; Guoping Huang; Shuming Shi 001; Rui Yan 001 (ICLR, 2024)

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt. - Deng Cai 002; Huayang Li; Tingchen Fu; Siheng Li; Weiwen Xu; Shuaiyi Li; Bowen Cao; Zhisong Zhang; Xinting Huang; Leyang Cui; Yan Wang 060; Lemao Liu; et al. (CoRR, 2024)

PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning. - Tingchen Fu; Mrinank Sharma; Philip Torr 001; Shay B. Cohen; David Krueger 001; Fazl Barez (CoRR, 2024)

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. - Tingchen Fu; Yupeng Hou; Julian J. McAuley; Rui Yan 001 (NAACL (Long Papers), 2025)

Open Problems in Machine Unlearning for AI Safety. - Fazl Barez; Tingchen Fu; Ameya Prabhu; Stephen Casper; Amartya Sanyal; Adel Bibi; Aidan O'Gara; Robert Kirk; Ben Bucknall; Timothy Fist; Luke Ong; Philip Torr 001; et al. (CoRR, 2025)

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning. - Yafu Li; Zhilin Wang; Tingchen Fu; Ganqu Cui; Sen Yang 005; Yu Cheng 001 (CoRR, 2025)

Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness. - Tingchen Fu; Fazl Barez (CoRR, 2025)

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models. - Tingchen Fu; Jiawei Gu; Yafu Li; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)