6 citations · 6 across the 1 of their papers we have counts for
3 papers
Intent-Aware Schema Generation And Refinement For Literature Review Tables
Vishakh Padmakumar, Joseph Chee Chang, Kyle Lo +2
The increasing volume of academic literature makes it essential for researchers to organize, compare, and contrast collections of documents. Large language models (LLMs) can suppor…
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
Akari Asai, Jacqueline He, Rulin Shao +22
Scientific progress depends on researchers' ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenS…
Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries
Chaitanya Malaviya, Joseph Chee Chang, Dan Roth +3
Language model users often issue queries that lack specification, where the context under which a query was issued -- such as the user's identity, the query's intent, and the crite…