Jifeng Dai

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models

Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning

VisualPRM400K: An Effective Dataset for Training Multimodal Process Reward Models

GenExam: A Multidisciplinary Text-to-Image Exam

Learning Adaptive and Temporally Causal Video Tokenization in a 1D Latent Space

Sequential Diffusion Language Models

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents

AnyCap: Omni-Modal Captioning with Instruction Alignment

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis

GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

CoMemo: LVLMs Need Image Context with Image Memory

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Diffusion Transformer Policy

big.LITTLE Vision Transformer for Efficient Visual Recognition