Tianle Gu

According to our database, Tianle Gu authored at least 25 papers between 2023 and 2026.

Collaborative distances:

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

2026

From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal Moderation.

Tianle Gu, Kexin Huang, Lingyu Li, Ruilin Luo, Shiyang Huang, Zongqi Wang, Yujiu Yang, Yan Teng, Yingchun Wang

CoRR, February, 2026

OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs.

Xin Wang, Yunhao Chen, Juncheng Li, Yixu Wang, Yang Yao, Tianle Gu, Jie Li, Yan Teng, Yingchun Wang, Xia Hu

CoRR, January, 2026

SCAN: Structured Capability Assessment and Navigation for LLMs.

Zongqi Wang, Tianle Gu, Chen Gong, Xin Tian, Siqi Bao, Yujiu Yang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

A Rigorous Benchmark with Multidimensional Evaluation for Deep Research Agents: From Answers to Reports.

Yang Yao, Yixu Wang, Yuxuan Zhang, Yi Lu, Tianle Gu, Lingyu Li, Dingyi Zhao, Keming Wu, Haozhe Wang, Ping Nie, Yan Teng, Yingchun Wang

CoRR, October, 2025

S2J: Bridging the Gap Between Solving and Judging Ability in Generative Reward Models.

Shaoning Sun, Jiachen Yu, Zongqi Wang, Xuewei Yang, Tianle Gu, Yujiu Yang

CoRR, September, 2025

LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language Models.

Zhiyuan Ning, Tianle Gu, Jiaxin Song, Shixin Hong, Lingyu Li, Huacan Liu, Jie Li, Yixu Wang, Lingyu Meng, Yan Teng, Yingchun Wang

CoRR, August, 2025

Probing the Robustness of Large Language Models Safety to Latent Perturbations.

Tianle Gu, Kexin Huang, Zongqi Wang, Yixu Wang, Jie Li, Yuanqi Yao, Yang Yao, Yujiu Yang, Yan Teng, Yingchun Wang

CoRR, June, 2025

From Rankings to Insights: Evaluation Should Shift Focus from Leaderboard to Feedback.

Zongqi Wang, Tianle Gu, Chen Gong, Xin Tian, Siqi Bao, Yujiu Yang

CoRR, May, 2025

Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation.

Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray

CoRR, February, 2025

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?

Yang Yao, Lingyu Li, Jiaxin Song, Chiyu Chen, Zhenqi He, Yixu Wang, Xin Wang, Tianle Gu, Jie Li, Yan Teng, Yingchun Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Fair Text-Attributed Graph Representation Learning.

Ruilin Luo, Tianle Gu, Lin Wang, Yunfeng Zhou, Songtao Jiang, Lei Wang, Yujiu Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking.

Tianle Gu, Zongqi Wang, Kexin Huang, Yuanqi Yao, Xiangliang Zhang, Yujiu Yang, Xiuying Chen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation.

Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Overview of the "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2025.

Janek Bevendorff, Yuxia Wang, Jussi Karlgren, Matti Wiegmann, Maik Fröbe, Akim Tsivgun, Jinyan Su, Zhuohan Xie, Mervat Abassy, Jonibek Mansurov, Rui Xing, Minh Ngoc Ta, Kareem Ashraf Elozeiri, Tianle Gu, Raj Vardhan Tomar, Jiahui Geng, Ekaterina Artemova, Artem Shelmanov, Nizar Habash, Efstathios Stamatatos, Iryna Gurevych, Preslav Nakov, Martin Potthast, Benno Stein

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

MorphMark: Flexible Adaptive Watermarking for Large Language Models.

Zongqi Wang, Tianle Gu, Baoyuan Wu, Yujiu Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Cognitive Writing Perspective for Constrained Long-Form Text Generation.

Kaiyang Wan, Honglin Mu, Rui Hao, Haoran Luo, Tianle Gu, Xiuying Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs.

Tianle Gu, Kexin Huang, Ruilin Luo, Yuanqi Yao, Xiuying Chen, Yujiu Yang, Yan Teng, Yingchun Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Word Form Matters: LLMs' Semantic Reconstruction under Typoglycemia.

Chenxi Wang, Tianle Gu, Zhongyu Wei, Lang Gao, Zirui Song, Xiuying Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HoneypotNet: Backdoor Attacks Against Model Extraction.

Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts.

Tianle Gu, Kexin Huang, Ruilin Luo, Yuanqi Yao, Yujiu Yang, Yan Teng, Yingchun Wang

CoRR, 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models.

Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Dandan Liang, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang

CoRR, 2024

Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion.

Ruilin Luo, Tianle Gu, Haoling Li, Junzhe Li, Zicheng Lin, Jiayi Li, Yujiu Yang

CoRR, 2024

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models.

Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, Yan Teng, Yu Qiao, Yingchun Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models.

Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Jian Wang, Dandan Liang, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

CoLLiE: Collaborative Training of Large Language Models in an Efficient Way.

Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, Xipeng Qiu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023