Ph.D. student
Manning College of Information & Computer Sciences
University of Massachusetts Amherst
Center for Intelligent Information Retrieval (CIIR) Lab
I'm a first-year Ph.D. student at Umass Amherst, advised by Negin Rahimi and Andrew McCallum. My research focuses on self-evolving agentic systems and long-horizon search.
we present Retriever’s Preference Optimization (RetPO), which optimizes a language model (LM) for reformulating search queries in line with the preferences of the target retrieval systems.
We propose a novel framework that employs an active strategy for compressing extensive documents. CompAct dynamically preserves query-related contexts, focusing on the integration of information across documents.
We introduce ETHIC, a new benchmark to evaluate the ability of large language models on long-context tasks that require high information coverage.
We released a new medical LM, Meerkat-7B, passed the United States Medical Licensing Examination (USMLE) for the first time among 7B-parameter models. This study demonstrates that small language models can achieve enhanced medical reasoning abilities through targeted training on specialized medical textbooks.
Template based on Jon Barron's website.