collaborators

5 papers

cs.CL2026

M2-Verify: A Large-Scale Multidomain Benchmark for Checking Multimodal Claim Consistency

Abolfazl Ansari, Delvin Ce Zhang, Zhuoyang Zou +2

Evaluating scientific arguments requires assessing the strict consistency between a claim and its underlying multimodal evidence. However, existing benchmarks lack the scale, domai…

cs.AI2026

Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning

Jihyun Janice Ahn, Ryo Kamoi, Berk Atil +34

LLMs often generate seemingly valid answers to flawed or ill-posed inputs. This is not due to missing knowledge: under discriminative prompting, the same models can mostly identify…

cs.AI2026

DIAGPaper: Diagnosing Valid and Specific Weaknesses in Scientific Papers via Multi-Agent Reasoning

Zhuoyang Zou, Abolfazl Ansari, Delvin Ce Zhang +2

Paper weakness identification using single-agent or multi-agent LLMs has attracted increasing attention, yet existing approaches exhibit key limitations. Many multi-agent systems s…

cs.CL2025

AAAR-1.0: Assessing AI's Potential to Assist Research

Renze Lou, Hanzi Xu, Sijia Wang +15

Numerous studies have assessed the proficiency of AI systems, particularly large language models (LLMs), in facilitating everyday tasks such as email writing, question answering, a…

cs.CL2025

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?

Yusen Zhang, Wenliang Zheng, Aashrith Madasu +14

High-resolution image (HRI) understanding aims to process images with a large number of pixels, such as pathological images and agricultural aerial images, both of which can exceed…