Papers by Parishad BehnamGhader
Exploiting Instruction-Following Retrievers for Malicious Information Retrieval (2025.findings-acl)
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| Challenge: | Instruction-following retrievers are increasingly used in real-world applications, but little research has investigated the safety risks associated with their increasing search capabilities. |
| Approach: | They investigate the ability of retrievers to satisfy malicious queries . they find that for >50% of queries, retrievers can select harmful passages . |
| Outcome: | The findings highlight the safety risks associated with instruction-following retrievers . they show that even safety-aligned LLMs can satisfy malicious requests . |
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model (2023.findings-emnlp)
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| Challenge: | kNN-LM, REALM, DPR + FiD, Contriever + ATLAS, and Contriver + Flan-T5 are popular retriever-augmented language models for a variety of tasks. |
| Approach: | They evaluate the strengths and weaknesses of kNN-LM, REALM, DPR + FiD, Contriever + ATLAS, and Contriver + Flan-T5 in reasoning over retrieved statements across different tasks. |
| Outcome: | The proposed models do not exhibit strong reasoning even when provided with only the required statements. |