🏢 Shanghai Artificial Intelligence Laboratory

VBench 2.0: A new benchmark suite advancing video generation evaluation with intrinsic faithfulness metrics.

ResearchBench: Benchmarking LLMs for Scientific Discovery via Inspiration-Based Task Decomposition.

FakeVLM: A multimodal model & artifact-annotated dataset for detecting synthetic images with interpretable explanations, setting a new benchmark.

Infinite Mobility: Procedural generation of high-fidelity articulated objects for scalable embodied AI training.

SURVEYFORGE automates survey generation, improving quality and evaluation.

IVO: Iterative Value Function Optimization for Guided Decoding

InternLM-XComposer2.5-Reward: A novel multi-modal reward model boosting Large Vision Language Model performance.

Introducing Evaluation Agent, a faster, more flexible human-like framework for evaluating visual generative AI.

Chimera boosts large multimodal models’ performance on specialized tasks by cleverly integrating domain-specific expert models, achieving state-of-the-art results on multiple benchmarks.

VLSBench exposes visual leakage in MLLM safety benchmarks, creating a new, leak-free benchmark to evaluate true multimodal safety.