activity
20232025
most citedDocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles

Yitao Long, Yuru Jiang, Hongjun Liu +6

This work investigates the reasoning and planning capabilities of foundation models and their scalability in complex, dynamic environments. We introduce PuzzlePlex, a benchmark des…

cs.CL2025★ 1 cited

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing

Hongjun Liu, Yilun Zhao, Arman Cohan +1

Automatic fact-checking has recently received more attention as a means of combating misinformation. Despite significant advancements, fact-checking systems based on retrieval-augm…

cs.CL2024

FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents

Yilun Zhao, Yitao Long, Yuru Jiang +7

We introduce FinDVer, a comprehensive benchmark specifically designed to evaluate the explainable claim verification capabilities of LLMs in the context of understanding and analyz…

cs.CL2023★ 2 cited

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents

Yilun Zhao, Yitao Long, Hongjun Liu +7

Recent LLMs have demonstrated remarkable performance in solving exam-like math word problems. However, the degree to which these numerical reasoning skills are effective in real-wo…

cs.CL2023

FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains

Yilun Zhao, Hongjun Liu, Yitao Long +3

We introduce FinanceMath, a novel benchmark designed to evaluate LLMs' capabilities in solving knowledge-intensive math reasoning problems. Compared to prior works, this study feat…