Jacopo Parvizi

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upvoted a paper about 10 hours ago

Learning to Discover at Test Time

Paper • 2601.16175 • Published Jan 22 • 44

upvoted 6 papers about 12 hours ago

FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory

Paper • 2601.18642 • Published Jan 26 • 1

Mixture-of-Depths Attention

Paper • 2603.15619 • Published 1 day ago • 55

Attention Residuals

Paper • 2603.15031 • Published 2 days ago • 72

EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings

Paper • 2603.13594 • Published 4 days ago • 129

OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published 1 day ago • 130

AI Can Learn Scientific Taste

Paper • 2603.14473 • Published 3 days ago • 222

upvoted 3 papers 2 days ago

LMEB: Long-horizon Memory Embedding Benchmark

Paper • 2603.12572 • Published 5 days ago • 63

CREATE: Testing LLMs for Associative Creativity

Paper • 2603.09970 • Published 8 days ago • 14

In-Context Reinforcement Learning for Tool Use in Large Language Models

Paper • 2603.08068 • Published 9 days ago • 37

upvoted a paper 3 days ago

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

Paper • 2603.04597 • Published 13 days ago • 196

upvoted 5 papers 4 days ago

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Paper • 2505.22954 • Published May 29, 2025 • 15

Learning to Continually Learn via Meta-learning Agentic Memory Designs

Paper • 2602.07755 • Published Feb 8 • 7

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Paper • 1901.01753 • Published Jan 7, 2019 • 2

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

Paper • 2509.24372 • Published Sep 29, 2025 • 12

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

Paper • 2603.12228 • Published 6 days ago • 10

upvoted 4 papers 5 days ago

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning

Paper • 2603.05863 • Published 12 days ago • 5

Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications

Paper • 2603.08806 • Published 9 days ago • 7

Lost in Backpropagation: The LM Head is a Gradient Bottleneck

Paper • 2603.10145 • Published 8 days ago • 10

OpenClaw-RL: Train Any Agent Simply by Talking

Paper • 2603.10165 • Published 8 days ago • 118