OmniBench
Emerging6papers using it
2024first seen
OmniBench is a benchmark that evaluates the performance of omnimodal large language models across tasks involving images, text, and speech.
Papers using OmniBench (6)
- Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate TasksAVRT: Audio-Visual Reasoning Transfer through Single-Modality TeachersOMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language ModelLVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMsOpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Self-Aware Emotional Speech SynthesisOmniBench: Towards The Future of Universal Omni-Language Models