Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
Deductive AI, a startup that uses AI to catch and resolve bugs in software, was founded just three years ago.
A large-scale dataset of human-metaevaluations of LLM critiques for agentic tasks is introduced to improve the calibration and reliability of automated evaluation methods.
Calibrated verifier telemetry enhances LLM agents in knowledge-intensive question answering by providing confidence scores and grounding verification, reducing both over-retrieval…
A novel speaker verification framework combines frozen self-supervised features with ECAPA-TDNN and MoE modules to improve identity verification across both speech and non-verbal v…
Reward models in reinforcement learning suffer from oversensitivity issues where they assign different scores to equally good responses, leading to poor policy learning, but this c…
PoLAR introduces a geometrically structured latent action representation in hyperbolic space that separates transition extent from transition mode, improving robotic policy learnin…
Training-time data augmentation techniques help mitigate overfitting in autoregressive language model pretraining by delaying performance deterioration and improving final model qu…
Agentic Data Tailoring paradigm uses learnable data processing to structure high-entropy multimodal streams, with DataClaw_0-9B model achieving robust alignment through SFT and GRP…
UnityShots is a memory-driven audio-video generation system that maintains consistent subject appearance and audio across video cuts using fixed-size long-term and short-term memor…
Researchers develop a human-centered approach to align AI agents with privacy norms by creating a comprehensive dataset of privacy judgments and using annotation-conditioned reward…
A text-to-music generation system uses reward conditioning, expert iteration, and preference tuning to improve audio quality while maintaining efficiency within a 120M-parameter mo…
Large language models demonstrate varying effectiveness in software development tasks, successfully completing localized refactoring but showing limitations in integrating new game…