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20242026
most citedPHYSICS: Benchmarking Foundation Models on University-Level Physics Problem Solving

1 citations · 1 across the 8 of their papers we have counts for

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cs.AI2026

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG

Tianyu Yang, Shir Simon, Zhenzhen Li +2

Multimodal retrieval-augmented generation (mRAG) aims to answer image-text queries with external knowledge, but most existing systems still retrieve directly from raw multimodal in…

cs.AI2026

A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning

Tianyu Yang, Sihong Wu, Yilun Zhao +6

Multimodal Mathematical Reasoning (MMR) has recently attracted increasing attention for its capability to solve mathematical problems involving both textual and visual modalities.…

cs.AI2026

JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks

Lanbo Lin, Jiayao Liu, Tianyuan Yang +5

Evaluating agentic AI on open-ended professional tasks faces a fundamental dilemma between rigor and flexibility. Static rubrics provide rigorous, reproducible assessment but fail…

cs.AI20251 cited

PHYSICS: Benchmarking Foundation Models on University-Level Physics Problem Solving

Kaiyue Feng, Yilun Zhao, Yixin Liu +4

We introduce PHYSICS, a comprehensive benchmark for university-level physics problem solving. It contains 1297 expert-annotated problems covering six core areas: classical mechanic…

cs.AI2024

SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark

Zhenwen Liang, Kehan Guo, Gang Liu +7

The paper introduces SceMQA, a novel benchmark for scientific multimodal question answering at the college entrance level. It addresses a critical educational phase often overlooke…