Papers by Yingtao Ren
Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented Generation (2026.findings-acl)
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| Challenge: | Existing approaches to multi-step retrieval-augmented generation are susceptible to retrieval noise and fabricated documents in real-world scenarios. |
| Approach: | They propose a framework for multi-step retrieval-augmented generation that incorporates external knowledge into a retriever to generate responses from adversarial samples. |
| Outcome: | The proposed framework improves performance in multiple noisy scenarios and can be used to improve multi-step retrieval-augmented generation. |