3 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.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.AI2025
Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?
Zewen Liu, Juntong Ni, Xianfeng Tang +4
Uncovering hidden symbolic laws from time series data, as an aspiration dating back to Kepler's discovery of planetary motion, remains a core challenge in scientific discovery and…