ByteDance

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https://www.bytedance.com/

ByteDanceOSS

ByteDance

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Recent Activity

brianxb001 published a dataset 4 days ago

ByteDance/veAgentBench

sunny1001 updated a model 5 days ago

ByteDance/BindWeave

sunny1001 published a model 5 days ago

ByteDance/BindWeave

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Papers

Reg-DPO: SFT-Regularized Direct Preference Optimization with GT-Pair for Improving Video Generation

PairUni: Pairwise Training for Unified Multimodal Language Models

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ByteDance 's Papers 16

Submitted by

dujie

Reg-DPO: SFT-Regularized Direct Preference Optimization with GT-Pair for Improving Video Generation

ByteDance

Submitted by

zjn

PairUni: Pairwise Training for Unified Multimodal Language Models

ByteDance

Submitted by

taesiri

Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents

ByteDance

8

Submitted by

Yuxuan BIAN

Video-As-Prompt: Unified Semantic Control for Video Generation

ByteDance

Submitted by

taesiri

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

ByteDance

Submitted by

taesiri

Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs

ByteDance

Submitted by

taesiri

MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation

ByteDance

Submitted by

taesiri

SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model

ByteDance

Submitted by

HaochenWang

Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology

ByteDance

Submitted by

Jiahao Meng

CyberV: Cybernetics for Test-time Scaling in Video Understanding

ByteDance

Submitted by

Wei Chow

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query

ByteDance

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models

ByteDance

Submitted by

YSH

MAGREF: Masked Guidance for Any-Reference Video Generation

ByteDance

Submitted by

Xiangtai Li

Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding

ByteDance

3

Submitted by

Xiangtai Li

The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

ByteDance

Submitted by

Xiangtai Li

Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

ByteDance