Latest stories
Language Model Agents Rewrite Sella to Cut Molecular Relaxation Costs
A new Hugging Face paper introduces AutoSella, a family of molecular geometry optimizers discovered by language-model agents that...
Hugging Face Paper Introduces 'World Editing' as a New AI Capability, With Minecraft and Terraria Benchmark
A new paper formalizes world editing as intervening on an existing executable world while preserving unchanged properties, introdu...
SEER Turns Forecast Errors Into Smarter Event Retrieval for Time Series
A new closed-loop framework called SEER feeds forecasting errors back into event retrieval and causal knowledge, improving predict...
Hugging Face Paper Introduces Inverse Distillation Unlearning for One-Step Generative Models
A new framework called Inverse Distillation Unlearning (IDU) jointly distills multi-step diffusion and flow-matching teachers into...
New Post-Training Method Aligns Diffusion Language Models via Representation-Space MMD
Researchers propose a post-training objective that minimizes Maximum Mean Discrepancy between generated and reference distribution...
LoGRA Cuts LLM Reinforcement Learning Memory by Up to 45.7%
A new method called LoGRA compresses reinforcement learning signals into low-rank gradient sketches, cutting training memory by up...
OmniReasoning Targets the Blind Spot in Audio-Visual Joint Reasoning
A new Hugging Face paper introduces OmniReasoningBench, the OmniQA data engine, and a self-distillation method that together push...
Self-Generated Feedback Destabilizes Test-Time Training, New Study Finds
A new Hugging Face paper shows that when models learn from their own generated text during inference, prediction on independent hu...
Hugging Face Paper Proposes 3T Framework and Proactivity-Gym Testbed for Proactive LLM Agents
A new paper outlines three joint principles — Task Capability, Temporal Allocation, and Trust — for designing proactive LLM agents...
LMBuild Benchmark Tests Whether LLM Agents Can Build Objects That Actually Work
A new benchmark from Hugging Face researchers evaluates LLM agents on generating buildable, functional 3D structures rather than j...
MemAdapter Targets Memory-Induced Sycophancy in LLM Agents
A new framework called MemAdapter adaptively integrates retrieved memories so LLM agents can reason objectively instead of over-al...
ID-Forcing Tackles Drift in Long Autoregressive Video Generation
A new test-time framework, In-Distribution Forcing (ID-Forcing), keeps cached key-value entries in-distribution to stop color, tex...