A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods Paper • 2502.01618 • Published Feb 3, 2025 • 10 • 3
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models Paper • 2502.01061 • Published Feb 3, 2025 • 222 • 23
Demystifying Long Chain-of-Thought Reasoning in LLMs Paper • 2502.03373 • Published Feb 5, 2025 • 58 • 3
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? Paper • 2502.00674 • Published Feb 2, 2025 • 13 • 4
Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense Paper • 2502.00840 • Published Feb 2, 2025 • 3