4 citations · 7 across the 4 of their papers we have counts for
4 papers
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
Jierui Li, Vipul Raheja, Dhruv Kumar
In recent times, large language models (LLMs) have shown impressive performance on various document-level tasks such as document classification, summarization, and question-answeri…
Explaining Competitive-Level Programming Solutions using LLMs
Jierui Li, Szymon Tworkowski, Yingying Wu +1
In this paper, we approach competitive-level programming problem-solving as a composite task of reasoning and code generation. We propose a novel method to automatically annotate n…
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction
Zhanming Jie, Jierui Li, Wei Lu
Solving math word problems requires deductive reasoning over the quantities in the text. Various recent research efforts mostly relied on sequence-to-sequence or sequence-to-tree m…
Evaluating Explanation Methods for Neural Machine Translation
Jierui Li, Lemao Liu, Huayang Li +3
Recently many efforts have been devoted to interpreting the black-box NMT models, but little progress has been made on metrics to evaluate explanation methods. Word Alignment Error…