collaborators

5 papers

cs.CL2026

Who Wrote It Is Not Enough: Detecting Who Contributed the Insight

Zhuoyang Zou, Abolfazl Ansari, Jiaxi Yang +4

As LLMs increasingly assist scientific writing and peer review, detecting who wrote the text is no longer sufficient: we need to determine who contributed the underlying insight. W…

cs.AI2026

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue

Ali Al-Lawati, Nafis Tripto, Abolfazl Ansari +3

The emergence of multi-agent systems introduces novel moderation challenges that extend beyond content filtering. Agents with malicious intent may contribute harmful content that a…

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

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

Echoes of Automation: The Increasing Use of LLMs in Newsmaking

Abolfazl Ansari, Delvin Ce Zhang, Nafis Irtiza Tripto +1

The rapid rise of Generative AI (GenAI), particularly LLMs, poses concerns for journalistic integrity and authorship. This study examines AI-generated content across over 40,000 ne…