3 papers
cs.CL2025
Assessing the feasibility of Large Language Models for detecting micro-behaviors in team interactions during space missions
Ankush Raut, Projna Paromita, Sydney Begerowski +2
We explore the feasibility of large language models (LLMs) in detecting subtle expressions of micro-behaviors in team conversations using transcripts collected during simulated spa…
cs.CL2025
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs
Ankush Raut, Xiaofeng Zhu, Maria Leonor Pacheco
This paper evaluates the ability of Large Language Models (LLMs) to leverage contextual information in the form of structured linguistic representations. Specifically, we examine t…
cs.CL2024
Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QA
George Arthur Baker, Ankush Raut, Sagi Shaier +2
Previous work finds that recent long-context language models fail to make equal use of information in the middle of their inputs, preferring pieces of information located at the ta…