TestHallVQA evaluates LVLMs’ document-level reasoning under redundant contexts in scientific exams.
Read the original at arxiv.org→arXiv:2609.13158v1 Announce Type: new Abstract: Large Vision--Language Models (LVLMs) are increasingly expected to perform visual question answering (VQA) over planar media. However, existing planar VQA benchmarks...
Original headline: "TestHallVQA: Exploring LVLMs' Document-Level Reasoning under Redundant Contexts from Scientific Exams"
Coverage timeline
- Sep 15, 04:00 UTC arXiv cs.CL lead source TestHallVQA: Exploring LVLMs' Document-Level Reasoning under Redundant Contexts from Scientific Exams