Jarrod Barnes's picture

Jarrod Barnes PRO

Jarrodbarnes

·

https://arc.computer

AI & ML interests

Continual Learning, Reinforcement Learning

Recent Activity

liked a dataset 3 days ago

EdisonScientific/bixbench_hypothesis

updated a model 3 days ago

Dynamical-Systems/crystalite-balanced

updated a model 3 days ago

Dynamical-Systems/crystalite-base

View all activity

Organizations

upvoted a paper 6 days ago

Crystalite: A Lightweight Transformer for Efficient Crystal Modeling

Paper • 2604.02270 • Published 15 days ago • 1

upvoted a paper 9 days ago

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published 21 days ago • 50

upvoted an article 17 days ago

Article

SynthVision: Building a 110K Synthetic Medical VQA Dataset with Cross-Model Validation

24 days ago

•

16

upvoted a paper 21 days ago

Self-Improving Pretraining: using post-trained models to pretrain better models

Paper • 2601.21343 • Published Jan 29 • 18

upvoted a paper 24 days ago

Attention Residuals

Paper • 2603.15031 • Published Mar 16 • 180

upvoted an article about 1 month ago

Article

Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

+7

Mar 10

•

126

upvoted a paper about 1 month ago

Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Paper • 2601.18778 • Published Jan 26 • 42

upvoted a collection about 2 months ago

Qwen3.5

21 items • Updated Mar 9 • 1.53k

upvoted a paper about 2 months ago

Arcee Trinity Large Technical Report

Paper • 2602.17004 • Published Feb 19 • 20

upvoted 3 collections about 2 months ago

Aya Datasets

The Aya Collection is a massive multilingual collection for over 100 languages consisting of 513 million instances of prompts and completions. • 5 items • Updated Jul 31, 2025 • 28

Inference Optimized Checkpoints (with Model Optimizer)

A collection of generative models quantized and optimized for inference with Model Optimizer. • 61 items • Updated 1 day ago • 139

Tiny Aya

Bridging Scale and Multilingual Depth • 10 items • Updated Feb 17 • 67

upvoted 2 articles 2 months ago

Article

Forge: Scalable Agent RL Framework and Algorithm

Feb 13

•

147

Article

Learn the Hugging Face Kernel Hub in 5 Minutes

+5

Jun 12, 2025

•

164

upvoted a paper 2 months ago

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

Paper • 2602.02192 • Published Feb 2 • 12

upvoted 3 collections 2 months ago

Surprisal Guided Selection

Training at test-time for kernel optimization • 2 items • Updated Feb 12 • 1

OpenSec: Incident Response Agent Calibration

OpenSec is a dual-control RL environment, dataset, and evaluation suite that measures agent calibration on incident response tasks. • 4 items • Updated Feb 12 • 1

Agent World Model

4 items • Updated Feb 11 • 9

upvoted a paper 2 months ago

Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation

Paper • 2602.07670 • Published Feb 7 • 1

upvoted an article 2 months ago

Article

Where should test-time compute go? Surprisal-guided selection in verifiable environments

Feb 7

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1