HuggingFace
VGI-BENCH: Probing Visual Intelligence in Video Generation Models
Recent studies suggest that video generation models can exhibit certain forms of zero-shot visual reasoning through g...
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HuggingFace
JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution
Agent capability is not determined by the model alone. The agent harness, encompassing memory management, planning st...
HuggingFace
V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning
Vision-language models can produce fluent answers that are insufficiently grounded in the visual evidence: a single u...
HuggingFace
Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation
Multi-teacher on-policy distillation (M-OPD) has emerged as a promising paradigm for consolidating domain-specialized...
HuggingFace
StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models
Vision-Language-Action (VLA) models have demonstrated effectiveness in robot manipulation, yet state-of-the-art model...
HuggingFace
MA-VLA: Multi-Arm Vision-Language-Action Model for Collaboration and Compositional Generalization
Multi-arm collaboration is becoming a core capability in embodied manipulation. Recent vision-language-action (VLA) m...
HuggingFace
WarpSAC: Towards the Pinnacle of Scalable Off-policy RL by Rethinking Exploration and Exploitation
Massively parallel simulation changes the data regime in which off-policy reinforcement learning (RL) is trained, cha...
HuggingFace
Gated Recurrent Transformers: Expressive Depth through Recurrent Modulation in Transformers
Scaling transformer language models creates an inherent tension between expressivity and memory efficiency. While uni...
HuggingFace
VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction
Conversational systems, such as duplex speech language models (SLMs), still lack a streaming, accurate, and empatheti...
HuggingFace
Stream4D: 4D-Consistency for Streaming Autoregressive Diffusion Video Models
Streaming autoregressive diffusion models enable real-time, long-horizon video generation, but their training objecti...
HuggingFace
Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation
Large vision-language models have shown strong progress in UI-to-code generation, yet their test-time self-evolution ...
HuggingFace
FIRM-Video: Check Before You Score for Reliable Text-to-Video Reward Modeling
Reliable reward models are essential for text-to-video evaluation and alignment. However, the trade-off between evalu...