Tingchen Fu

According to our database, Tingchen Fu authored at least 20 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.

Tingchen Fu, Jiawei Gu, Yafu Li, Xiaoye Qu, Yu Cheng

CoRR, May, 2025

Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness.

Tingchen Fu, Fazl Barez

CoRR, March, 2025

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning.

Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng

CoRR, January, 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, Kwok-Yan Lam, Robert Trager, David Krueger, Sören Mindermann, José Hernández-Orallo, Mor Geva, Yarin Gal

CoRR, January, 2025

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.

Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning.

Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B. Cohen, David Krueger, Fazl Barez

CoRR, 2024

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt.

Deng Cai, Huayang Li, Tingchen Fu, Siheng Li, Weiwen Xu, Shuaiyi Li, Bowen Cao, Zhisong Zhang, Xinting Huang, Leyang Cui, Yan Wang, Lemao Liu, Taro Watanabe, Shuming Shi

CoRR, 2024

The Reasonableness Behind Unreasonable Translation Capability of Large Language Model.

Tingchen Fu, Lemao Liu, Deng Cai, Guoping Huang, Shuming Shi, Rui Yan

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction.

Tingchen Fu, Deng Cai, Lemao Liu, Shuming Shi, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi

CoRR, 2023

Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-turn Conversations.

Tingchen Fu, Xueliang Zhao, Rui Yan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation.

Xueliang Zhao, Tingchen Fu, Lemao Liu, Lingpeng Kong, Shuming Shi, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

On the Compositional Generalization in Versatile Open-domain Dialogue.

Tingchen Fu, Xueliang Zhao, Lemao Liu, Rui Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning towards conversational AI: A survey.

Tingchen Fu, Sheng Gao, Xueliang Zhao, Ji-Rong Wen, Rui Yan

AI Open, January, 2022

Learning to Express in Knowledge-Grounded Conversation.

Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure.

Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao, Rui Yan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning.

Xueliang Zhao, Tingchen Fu, Chongyang Tao, Rui Yan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022