3 papers
cs.IR2025
Revisiting Feedback Models for HyDE
Nour Jedidi, Jimmy Lin
Recent approaches that leverage large language models (LLMs) for pseudo-relevance feedback (PRF) have generally not utilized well-established feedback models like Rocchio and RM3 w…
cs.IR2025
Study on LLMs for Promptagator-Style Dense Retriever Training
Daniel Gwon, Nour Jedidi, Jimmy Lin
Promptagator demonstrated that Large Language Models (LLMs) with few-shot prompts can be used as task-specific query generators for fine-tuning domain-specialized dense retrieval m…
cs.IR2025
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
Nour Jedidi, Yung-Sung Chuang, James Glass +1
With the growing success of reasoning models across complex natural language tasks, researchers in the Information Retrieval (IR) community have begun exploring how similar reasoni…