most citedFact-Checking Complex Claims with Program-Guided Reasoning

3 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning

Xinyuan Lu, Liangming Pan, Yubo Ma +2

Current Large Language Models (LLMs) exhibit limited ability to understand table structures and to apply precise numerical reasoning, which is crucial for tasks such as table quest…

cs.CV2024★ 1 cited

MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations

Yubo Ma, Yuhang Zang, Liangyu Chen +13

Understanding documents with rich layouts and multi-modal components is a long-standing and practical task. Recent Large Vision-Language Models (LVLMs) have made remarkable strides…

cs.CL2023

QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking

Liangming Pan, Xinyuan Lu, Min-Yen Kan +1

Fact-checking real-world claims often requires complex, multi-step reasoning due to the absence of direct evidence to support or refute them. However, existing fact-checking system…

cs.CL2023★ 3 cited

Fact-Checking Complex Claims with Program-Guided Reasoning

Liangming Pan, Xiaobao Wu, Xinyuan Lu +4

Fact-checking real-world claims often requires collecting multiple pieces of evidence and applying complex multi-step reasoning. In this paper, we present Program-Guided Fact-Check…

cs.CL2023★ 2 cited

SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables

Xinyuan Lu, Liangming Pan, Qian Liu +2

Current scientific fact-checking benchmarks exhibit several shortcomings, such as biases arising from crowd-sourced claims and an over-reliance on text-based evidence. We present S…

cs.IR2023★ 3 cited

Improving Recommendation Systems with User Personality Inferred from Product Reviews

Xinyuan Lu, Min-Yen Kan

Personality is a psychological factor that reflects people's preferences, which in turn influences their decision-making. We hypothesize that accurate modeling of users' personalit…