Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
Paper • 2609.04199 • Published • 333 •
4
TJ June
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commentedon a paper 29 days ago
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions commentedon a paper about 1 month ago
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes commentedon a paper about 1 month ago
HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?Organizations
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papers about 1 month ago
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Paper • 2609.03796 • Published • 186 •
5
HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?
Paper • 2609.01437 • Published • 567 •
4
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction
Paper • 2609.02783 • Published • 62 •
3
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Paper • 2609.02749 • Published • 407 •
4
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Paper • 2608.09888 • Published • 798 •
6
LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering
Paper • 2608.28281 • Published • 99 •
5
StudentSim: Training LLM-based Student Simulators
Paper • 2609.01591 • Published • 495 •
4
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving
Paper • 2609.00111 • Published • 316 •
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