Keping Bi

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval

2018 · arXiv (Cornell University)

As more and more search traffic comes from mobile phones, intelligent assistants, and smart-home devices, new challenges (e.g., limited presentation space) and opportunities come up in information retrieval. Previously, an effective technique, relevance feedback (RF), …

A Comparative Study of Specialized LLMs as Dense Retrievers

2025 · arXiv (Cornell University)

While large language models (LLMs) are increasingly deployed as dense retrievers, the impact of their domain-specific specialization on retrieval effectiveness remains underexplored. This investigation systematically examines how task-specific adaptations in LLMs influence their retrieval capabilities, …