most citedEvaluating the Retrieval Robustness of Large Language Models

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cs.CL2025★ 1 cited

Evaluating the Retrieval Robustness of Large Language Models

Shuyang Cao, Karthik Radhakrishnan, David Rosenberg +4

Retrieval-augmented generation (RAG) generally enhances large language models' (LLMs) ability to solve knowledge-intensive tasks. But RAG could also lead to performance degradation…

cs.CL2025

Improving Instruct Models for Free: A Study on Partial Adaptation

Ozan İrsoy, Pengxiang Cheng, Jennifer L. Chen +3

Instruct models, obtained from various instruction tuning or post-training steps, are commonly deemed superior and more usable than their base counterpart. While the model gains in…