EVERLYN ai RESEARCH

tHE EVERLYN TEAM HAS 400+ ai research papers.
over 500,000 citations.

Everlyn'S RESEARCH is CONCENTRATED in the AREAS OF AUTOREGRESSIVE VIDEO GENERATION, TOKENIZATION, MLLMS, masking, AND MULTI-MODULE VIDEO GENERATION.

Efficient autoregressive video generation with one multi-modal model through unstructured tokenization & masking

Research Paper

Towards the optimal solution to vector quantization: A distributional perspective

Research Paper

VideoGen-of-Thought: A collaborative multi-module video generation framework for long, reasona

Research Paper

Intervening anchor token is all need in alleviating hallucinations for MLLMs

Research Paper

Seeing clearly an answering incorrectly: a multi-modal robustness benchmark for MLMS on leading questions

Research Paper

VMAMBAR: Hybrid architecture for autoregressive text-to-image generation

Research Paper

DOCVID-1M: A large scale documentary video dataset with multi-modal captioning

Research Paper

Towards a generalized video editing framework for visual consistency and quality

Research Paper

On disentangling the visual effect of multi-modal large language models

Research Paper
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