HuggingFace
Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection
The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious eth...
🤖 AI 前沿资讯
每天自动聚合 AI 领域最新动态
HuggingFace
DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds
CLI-based software-engineering agents have matured rapidly, yet the open ecosystem has converged on a single training...
HuggingFace
MatrAIx: Simulating the World with 8.3 Billion Persona Agents
Human evaluation of AI systems and digital products is costly, slow, and difficult to scale. Offline evaluations are ...
HuggingFace
Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting
Sequence models must decide what to write into memory and what to retain. In quantum and quantum-inspired sequence le...
HuggingFace
DuplexGen: Adaptive Synthesis of Human-AI Turn-Taking Dialogues
Turn-taking is a central component of full-duplex interaction. Which turn-taking behaviors are appropriate varies wit...
HuggingFace
CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models
Benchmarking video-language models has largely focused on short clips and single-sentence metrics, leaving open wheth...
HuggingFace
Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control
World generative models are typically used through what they produce: a rendered future, a video-conditioned action, ...
arXiv
CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing
Test-time scaling is often implemented by spending more compute along one axis: sampling more solutions, extending a ...
arXiv
A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracy
LLM inference accounts for over 90% of AI operational energy, scaling directly with input token count---a critical in...
arXiv
TEPA: Revoking Stale Memories for Conflict-Robust Language Agents
Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also crea...
arXiv
Diffusion LLMs as Targets and Adversaries: Mechanistic Safety Exploits
Diffusion Large Language Models (DLLMs) replace autoregressive next-token prediction with iterative parallel denoisin...
arXiv
SABRE: Scalable and Automated Benchmarking of VLMs under Stress
Vision-language models (VLMs) are improving rapidly, but benchmark development lags behind, making weaknesses hard to...