2 papers
cs.CL2026
DVBench: Benchmarking MLLMs for Understanding Dynamic Charts and Narratives in Data Videos
Bomiao Wang, Zekai Shao, Jiexiang Lan +3
While MLLMs have made significant strides in chart comprehension and video understanding, current evaluations largely isolate these capabilities, leaving a critical gap in understa…
cs.AI2026
ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification
Runze Zhao, Zixin Tang, Xiaoshuai Hao +4
Multi-hop fact verification, which verifies claims by reasoning over multiple pieces of evidence, is critical for combating misinformation on social media yet remains highly challe…