FIELD NOTES TOPIC
post-training
2 notes, newest first.
Agent Error Dataset: Scaling 50,000 Error--Diagnosis Pairs for Failure Analysis and Error-Aware Post-Training
The preprint introduces 50,228 error-diagnosis pairs from 9,961 tasks across 33 environments, 19 harness families, and 23 policy models. Its Agentic Error-to-Training pipeline preserves traces and execution metadata…
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals
The researchers propose a new method called Proxy-guided Update Signal Transfer (PUST) for improving the domain-specific capabilities of large language models (LLMs). Instead of using the primary model for exploration…
