JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence

arXiv:2606.14777 · cs.CV, cs.AI · Submitted 2026-06-10 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-06-10

Updated: 2026-09-24

Code: https://github.com/jd-opensource/JoyAI-VL-Interaction

Project page: https://joyai-vl-video-future-academy-jd.github.io/JoyAI-VL-Interaction

Terminology

• Commentary — 20× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Verifier — 5× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Distillation — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• KV cache — 2× in this paper · explained in 3 episodes
• On-Policy Distillation — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Vision-language models — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
• Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
• Efficient Memory Management for Large Language Model Serving with PagedAttention
• OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
• StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding
• Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
• EasyVideoR1: Easier RL for Video Understanding
• Qwen3.5-Omni Technical Report
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
• Streaming Video Instruction Tuning
• StreamingVLM: Real-Time Understanding for Infinite Video Streams
• Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
• Qwen3 Technical Report
• HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
• SGLang: Efficient Execution of Structured Language Model Programs

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models