MAC-AutoML

[ACMMM 2026🔥] This is the official implementation of our paper "OmniScope: Modality-decoupled Token Compression for Efficient Omnimodal Video Understanding"

A powerful model compression framework for LLMs and LVLMs, adapted for NVIDIA GPUs and Huawei Ascend NPUs.

[ICML 2026]

A curated reading list for awesome self-distillation works in LLMs, MLLMs, reasoning models, diffusion LLMs, and large generative models.

Tool-generated verifiable traces for reliable algorithm visualization.

A training-free orchestration framework for building interactive omni-modal assistants by composing off-the-shelf modality experts, explicit LLM routing, text-centric cross-modal memory, and interruption-aware streaming interaction.

A list of awesome papers on compression and acceleration of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs).

Benchmarking Audio-Visual Social Interactivity in Omni Models