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Anthropic Launches Life Sciences Verification Program for Biotech and Pharma Teams
Anthropic's new Life Sciences Verification Program grants vetted life science organizations access to Mythos, Opus, and Sonnet mod...
PANORAMA Brings Pixel-Level Grounding to Detailed Image Captions
A new Hugging Face paper introduces PANORAMA, a vision-language model that grounds every referring phrase in a caption with pixel-...
New Memory-Bounding Techniques Let MoE Models Train at 1M Context
A new paper introduces four complementary methods that cap every memory peak in long-context Mixture-of-Experts training, enabling...
GPT-Policy Lets Robots Learn New Tasks In-Context via VLM Agents
A new Hugging Face paper introduces GPT-Policy, a general-agent framework that combines a context compiler, a commercial vision-la...
EventEgoHands++ Brings Instance-Aware 3D Hand Reconstruction to Event Cameras
A new Hugging Face paper introduces EventEgoHands++, an event-camera framework for egocentric 3D hand mesh reconstruction that add...
Gaze as a Cue to Mutual Understanding: Cross-Corpus Study of MapTask and MUNDEX
A new study maps two collaborative dialogue corpora into a shared gaze vocabulary and finds that aligned references and "understoo...
Hugging Face Paper Proposes Zeroth-Order Method to Fix LLM Preference Alignment
A new paper introduces Comparison-based Preference Optimization (ComPO), a zeroth-order alignment method that extracts directional...
SpectralShift: Extending Gated DeltaNet's Context Window via Spectral Reparameterization
A new research paper proposes SpectralShift, a spectral reparameterization method for long-context continual pretraining of Gated...
HypoEvolve Uses Genetic Algorithms to Coordinate Multi-Agent LLMs for Scientific Hypothesis Discovery
A new framework called HypoEvolve applies a generational genetic algorithm to coordinate specialized LLM agents that propose, crit...
Hugging Face Releases Zing-0.5, a 5B Real-Time Playable World Model
Zing-0.5 is a 5B autoregressive world model that lets users explore generated worlds through joint keyboard and online text contro...
Hugging Face Paper Proposes XConf: Confidence Estimation Grounded in a Model's Own Experience
A new paper introduces XConf, an experiential confidence estimator that retrieves a model's own graded past episodes to judge how...
Hugging Face Paper Exposes 'Value Flattening' in PPO Critics, Proposes SP3O Fix
A new paper identifies Value Flattening, a systematic failure mode in PPO critics used for LLM reinforcement learning, and introdu...