arXiv
One Basis to Animate Them All: Gaussian Blendshape Distillation for Real-Time Avatars
3D Gaussian avatars support fast rendering, however, their real-time animation is often challenged by the costly neur...
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HuggingFace
Explore Broadly, Reason Sharply: Push Small Models toward the Frontier via Sampling
Power-sharpened sampling is an inference-time alternative to reinforcement-learning (RL) post-training for enhancing ...
HuggingFace
Memorizon: Training World Models Beyond Their Context Window
Streaming world models should render a place consistently across repeated visits. Directly supervising such revisits ...
HuggingFace
DataMagic: Authoring Data Videos through Declarative Multi-Agent Orchestration
Data videos communicate data insights through dynamic charts, voice narration, and synchronized animations, and have ...
HuggingFace
KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts' intent into ...
HuggingFace
Devils in Question Relay: Source-Conditioned Relay Steering to Mitigate Hallucinations in Audio-visual Large Language Models
Audio-visual large language models (AVLLMs) have made remarkable progress in multimodal understanding and reasoning t...
HuggingFace
Better Supervision Is Nearby: Neighborhood On-Policy Self-Distillation
On-policy self-distillation (OPSD) trains mathematical reasoning models using a privileged teacher that sees a refere...
HuggingFace
Decentralized Master-Mind: Joint Action Refinement through Iterative Intent Denoising in Multi-Agent Pathfinding
Decentralized multi-agent path finding (MAPF) with communication requires agents to reach individual goals without co...
HuggingFace
AgSpec: Pushing the Limits of Retrieval-Based Speculative Decoding in Coding Agent Pipelines
Retrieval-based speculative decoding (SD) drafts tokens by copying continuations from existing text, which suits codi...
HuggingFace
Omni-Embed-Mini: Binding Modalities Without Forgetting via Dense Distillation
Extending a text embedding model to new modalities typically degrades text retrieval quality, and existing omni-modal...
HuggingFace
EgoTools: Towards Tool-Centric Reasoning in Real-World Egocentric Videos
Real-world embodied tasks, from everyday activities to professional procedures, require agents to act under physical ...
HuggingFace
E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language Models
Masked diffusion models (MDMs) generate sequences by progressively unmasking several tokens per denoising step, but t...