Chaoyou Fu

activity

20232026

most citedA Survey on Multimodal Large Language Models

736 citations · 880 across the 33 of their papers we have counts for

collaborators

Showing 2026Show all

3 papers · 1 filter

hep-ph2026

Two-loop helicity amplitudes for $g g \to W^{+} W^{-}$ using high-energy and forward expansions

Mateusz Czaja, Ben Rott, Matthias Steinhauser +1

We calculate next-to-leading order QCD corrections for the process $g g \to W^{+} W^{-}$ with two off-shell $W$ bosons, accounting for virtual top quarks in the loop diagrams. Our approa…

cs.CV2026

OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs

Xianyun Sun, Chaoyou Fu, Zhengye Zhang +6

Recent omni-modal large language models (Omni-LLMs) show great potential as real-time video assistants, which continuously perceive environments and guide users to achieve specific…

cs.CV2026

Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding

Chaoyou Fu, Haozhi Yuan, Yuhao Dong +16

With the rapid advancement of video understanding, existing benchmarks are becoming increasingly saturated, exposing a critical discrepancy between inflated leaderboard scores and…

Two-loop helicity amplitudes for gg→W+W− using high-energy and forward expansions

OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs

Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding

Two-loop helicity amplitudes for $g g \to W^{+} W^{-}$ using high-energy and forward expansions