Papers with systematically accessing
Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations (2025.emnlp-main)
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| Challenge: | Existing approaches to ground large language models (LLMs) with RAGs are limited by the heterogeneity of knowledge retrieved. |
| Approach: | They propose a modular approach guided by Argumentative Explanations that evaluates retrieved information by comparing, contrasting and resolving conflicting perspectives. |
| Outcome: | The proposed framework significantly improves RAG approaches, requiring low-impact computational effort and providing robustness to knowledge perturbations. |
Eliciting Critical Reasoning in Retrieval-Augmented Generation via Contrastive Explanations (2025.naacl-long)
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| Challenge: | Recent studies show that LLMs struggle to critically analyse RAG-based in-context information. |
| Approach: | They propose a framework that elicits critical arguments in RAG via contrastive explanations . they propose CRAG to retrieve relevant documents given a query and generate explanations that explicitly contrast relevance of passages to support the final answer. |
| Outcome: | The proposed framework improves state-of-the-art RAG models while requiring significantly fewer prompts and demonstrations and robust to perturbations in the retrieved documents. |