Hugging Face
Hugging Face is the GitHub of machine learning — the platform hosting millions of open models, datasets and demos. Its Transformers library and open leaderboards made it the center of gravity for open-source AI. All our Hugging Face coverage lives on this page.

Manga2Animate: A Multi-Agent System Turns Manga Into Anime Through a Script and a Storyboard
Manga2Animate splits manga adaptation into two steps: a script and a storyboard. A creator agent produces each one, and a reviewer agent checks it against the…

Study: Overfitting and Extra Compute Eat 68% of the Gains from Harness Evolution
The new HDA protocol broke down automated agent-optimization gains across 11 models: on average, overfitting accounts for 54% and test-time scaling for 14%, while…

Researchers Test 16 Types of Hints for OPSD and Find a Selection Metric
16 privileged-information configs, 3 agentic benchmarks, 3 models: KL metrics predict how much a hint will help OPSD better than directly testing the hint's…

"Wait" in Reasoning Models Turns Out to Be Inherited from Data, Not Discovered by RL

DeepSeek releases V4.1-Flash-1017 and opens its Search API at $0.75 per 1000 calls

Researchers Annotate 2,122 WildChat Conversations: 71.1% of Legal Chats Seek Personal Advice

Changing the definition of "unsafe" moves a guardrail score from 0 to 100 with 0.03% of weights

Researchers Propose Anti-Persistence: LLM Agent Memory Without Stored Rules
A new memory design for LLM agents stores trajectories and outcomes, then rebuilds guidance from scratch for each task. It uses the fewest LLM calls of the designs…

3D Scene Generation: DiT Works in a 3D Latent and Encodes a Scene in 1K Tokens
Researchers move scene diffusion from 2D views into an implicit 3D latent space built on DINOv2, SigLIP2 and DA3. Per the paper's title, a scene fits in roughly 1K…

UserArena: A 64 729-Session Benchmark Tests Whether Shoppers Can Be Simulated

HiSTEVE 1.0 Plays Minecraft With a Mouse and Keyboard: 85.0% on MineStudio Bench

Dual Exam: GPT 6 Astra Scores 31.3 Among Multimodal Agents

MMVistaReason: Open Recipe Trains a 4B Model That Beats Qwen3.5-9B on 15 Benchmarks

Nestor: nested sparsity in attention beats MoE at equal compute
Tianzhe Chu, Druv Pai, and Yi Ma propose the Nestor transformer: attention sparsity nests inside MoE, delivering gains at equal compute and in continual pretraining.

A 17-million-parameter encoder picks the right tool in 14ms on CPU
Tardelli Stekel has released six open encoders ranging from 17M to 1B parameters for closed-set selection. The 68M and 150M models beat the 435M DeBERTa-v3 by 4.9…









