← Search

Pradyot Prakash

2 accepted papers

2025

Dynamic Strategy Planning for Efficient Question Answering with Large Language Models

NAACL 2025findings

Research has shown an effectiveness of reasoning (e.g. Chain-of-Thought), planning (e.g. SelfAsk) and retrieval augmented generation strategies to improve performance of Large Language Models (LLMs) on various tasks, such as question answering. However, using a single fixed strategy for answering al…

2025

Improving Model Factuality with Fine-grained Critique-based Evaluator

ACL 2025long

Factuality evaluation aims to detect factual errors produced by language models (LMs) and hence guide the development of more factual models. Towards this goal, we train a factuality evaluator, FenCE, that provides LM generators with claim-level factuality feedback. In particular, we train FenCE to…