Dadi Guo

According to our database, Dadi Guo authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability.

Qihan Ren, Peng Wang, Ruikun Cai, Shuai Shao, Dadi Guo, Yuejin Xie, Yafu Li, Quanshi Zhang, Xia Hu, Jing Shao, Dongrui Liu

CoRR, April, 2026

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?

Dadi Guo, Yuejin Xie, Qingyu Liu, Jiayu Liu, Zhiyuan Fan, Qihan Ren, Shuai Shao, Tianyi Zhou, Dongrui Liu, Yi R. Fung

CoRR, March, 2026

The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution.

Chen Qian, Peng Wang, Dongrui Liu, Junyao Yang, Dadi Guo, Ling Tang, Jilin Mei, Qihan Ren, Shuai Shao, Yong Liu, Jie Fu, Jing Shao, Xia Hu

CoRR, January, 2026

NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems.

Jiayu Liu, Rui Wang, Qing Zong, Qingcheng Zeng, Tianshi Zheng, Haochen Shi, Dadi Guo, Baixuan Xu, Chunyang Li, Yangqiu Song

CoRR, January, 2026

2025

Are Your Agents Upward Deceivers?

Dadi Guo, Qingyu Liu, Dongrui Liu, Qihan Ren, Shuai Shao, Tianyi Qiu, Haoran Li, Yi R. Fung, Zhongjie Ba, Juntao Dai, Jiaming Ji, Zhikai Chen, Jialing Tao, Yaodong Yang, Jing Shao, Xia Hu

CoRR, December, 2025

Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm.

Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao

CoRR, October, 2025

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents.

Shuai Shao, Qihan Ren, Chen Qian, Boyi Wei, Dadi Guo, Jingyi Yang, Xinhao Song, Linfeng Zhang, Weinan Zhang, Dongrui Liu, Jing Shao

CoRR, September, 2025

Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models.

Dadi Guo, Jiayu Liu, Zhiyuan Fan, Zhitao He, Haoran Li, Yumeng Wang, Yi R. Fung

CoRR, June, 2025

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems?

Zhitao He, Zongwei Lyu, Dazhong Chen, Dadi Guo, Yi R. Fung

CoRR, June, 2025

End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation.

Zhiyuan Fan, Longfei Yun, Ming Yan, Yumeng Wang, Dadi Guo, Brian Mak, James T. Kwok, Yi R. Fung

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

2024

AIDBench: A benchmark for evaluating the authorship identification capability of large language models.

Zichen Wen, Dadi Guo, Huishuai Zhang

CoRR, 2024

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data.

Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang

CoRR, 2024

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.

Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yuan Yao, Yangqiu Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.

Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yangqiu Song

CoRR, 2023

Multi-step Jailbreaking Privacy Attacks on ChatGPT.

Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, Yangqiu Song

CoRR, 2023

UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction.

Xiaosong Huang, Yifan Wu, Hongyi Liu, Ying Li, Hao Yu, Dadi Guo, Zhonghai Wu

Proceedings of the IEEE International Conference on Software Analysis, 2023

Multi-step Jailbreaking Privacy Attacks on ChatGPT.

Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, Jie Huang, Fanpu Meng, Yangqiu Song

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