Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments Paper • 2605.30280 • Published May 28 • 146
Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization Paper • 2605.09996 • Published May 11 • 8
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights Paper • 2603.12228 • Published Mar 12 • 12
Contextualized Visual Personalization in Vision-Language Models Paper • 2602.03454 • Published Feb 3 • 3
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text Paper • 2601.22975 • Published Jan 30 • 113
Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking Paper • 2601.04720 • Published Jan 8 • 59
VLA-4D: Embedding 4D Awareness into Vision-Language-Action Models for SpatioTemporally Coherent Robotic Manipulation Paper • 2511.17199 • Published Nov 21, 2025 • 8
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments Paper • 2508.08791 • Published Aug 12, 2025 • 16
Energy-Based Transformers are Scalable Learners and Thinkers Paper • 2507.02092 • Published Jul 2, 2025 • 71
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models Paper • 2506.18369 • Published Jun 23, 2025 • 2
Seedance 1.0: Exploring the Boundaries of Video Generation Models Paper • 2506.09113 • Published Jun 10, 2025 • 109