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Your Agent Aced the Task. Will It Do It Again?

IBM Research09-1680

Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL

Amine Dirhoussi09-1040

Rebuilding AUTOMATIC1111 with Gradio Workflow

yuvraj sharma09-1057

Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic

Multiverse Computing09-0828

NeoMME: an efficient Multimodal-native and Multilingual Encoder

H company09-03108

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps

Leonie Monigatti09-03125

Give Your Coding Agents a Memory You Own

David Corvoysier09-03108

Training a coding model to paint watercolours with TRL and OpenEnv

Sergio Paniego09-0369

BenchMIRT: What are LLM benchmarks actually measuring?

Ai209-0223

Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI

Nico Martin09-0172

The Open ASR Leaderboard Adds Its First Global South Language

Eric Bezzam08-2856

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

Tom Aarsen08-26138

Granite 4.2 LLMs: How They're Built

IBM Granite08-25120

Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original

Multiverse Computing08-2566

Wire It, Run It, Deploy It: AI Workflows in Gradio

yuvraj sharma08-2548

How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code

Niels Rogge08-2132

Measuring benchmark optimization in speech recognition

Theo Lebryk08-2167

Up to 3.2x Faster Inference with LFM2.5-DSpark

Liquid AI08-2156

How Much Memory Does Your Agent Actually Need?

IBM Research08-1982

Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers

Tom Aarsen08-18115

— 没有更多了 —