This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL
67
17 commits
updated Sep 5, 2025
This repo is for the trustworthy topics in reasoning-related technique, including but not limited to attacks, defenses, studies and benchmarks related to CoT, reasoning and RL. Data are mainly from arxiv.
๐ข Check out our survey paper: A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models
If you find our survey useful, please cite it as:
@article{wang2025comprehensive,
title = {A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models},
author = {Wang, Yanbo and Yu, Yongcan and Liang, Jian and He, Ran},
journal = {arXiv preprint arXiv:2509.03871},
year = {2025}
}
We welcome contributions from the community, including adding your papers, modifying topics, or other comments related to our survey or repo!๐
๐ Feel free to open an issue or submit a pull request.
If you like this project, donโt forget to โญ๏ธ star it โ it helps more people discover it! ๐
| Title | Venue | Date | topic | Code |
|---|---|---|---|---|
| Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? | NAACL 2025 | 08/22, 2025 | robustness improvement | - |
| Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector | arxiv | 05/21, 2025 | LLM-as-a-judge | - |
| Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption | arxiv | 04/29, 2025 | adversarial defense | - |
| Assessing Judging Bias in Large Reasoning Models: An Empirical Study | arxiv | 04/14, 2025 | bias mitigation | - |
| Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? | arxiv | 04/01, 2025 | robustness imporvement | Huggingface |
| Trading Inference-Time Compute for Adversarial Robustness | arxiv | 01/31, 2025 | robustness improvement | - |
| Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement | EMNLP 2023 Findings | 05/23, 2023 | reasoning enhancement | Github |
This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL
67
17 commits
updated Sep 5, 2025
This repo is for the trustworthy topics in reasoning-related technique, including but not limited to attacks, defenses, studies and benchmarks related to CoT, reasoning and RL. Data are mainly from arxiv.
๐ข Check out our survey paper: A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models
If you find our survey useful, please cite it as:
@article{wang2025comprehensive,
title = {A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models},
author = {Wang, Yanbo and Yu, Yongcan and Liang, Jian and He, Ran},
journal = {arXiv preprint arXiv:2509.03871},
year = {2025}
}
We welcome contributions from the community, including adding your papers, modifying topics, or other comments related to our survey or repo!๐
๐ Feel free to open an issue or submit a pull request.
If you like this project, donโt forget to โญ๏ธ star it โ it helps more people discover it! ๐
| Title | Venue | Date | topic | Code |
|---|---|---|---|---|
| Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? | NAACL 2025 | 08/22, 2025 | robustness improvement | - |
| Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector | arxiv | 05/21, 2025 | LLM-as-a-judge | - |
| Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption | arxiv | 04/29, 2025 | adversarial defense | - |
| Assessing Judging Bias in Large Reasoning Models: An Empirical Study | arxiv | 04/14, 2025 | bias mitigation | - |
| Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? | arxiv | 04/01, 2025 | robustness imporvement | Huggingface |
| Trading Inference-Time Compute for Adversarial Robustness | arxiv | 01/31, 2025 | robustness improvement | - |
| Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement | EMNLP 2023 Findings | 05/23, 2023 | reasoning enhancement | Github |