SWE-Doctor generates multi-faceted BRTs, derives runtime diagnoses from their executions, and uses the diagnoses to guide patch generation, raising average resolution rates to 75.7% on SWE-bench Verified and 59.4% on SWE-bench Pro.
Klear- agentforge: Forging agentic intelligence through posttraining scaling,
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SWE-MeM introduces adaptive memory management for coding agents via synthesized trajectories and Memory-aware GRPO, reporting 43.4% and 60.2% resolve rates on SWE-Bench Verified for 4B and 30B models while beating baselines on performance and token use.
citing papers explorer
-
SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests
SWE-Doctor generates multi-faceted BRTs, derives runtime diagnoses from their executions, and uses the diagnoses to guide patch generation, raising average resolution rates to 75.7% on SWE-bench Verified and 59.4% on SWE-bench Pro.
-
SWE-MeM: Learning Adaptive Memory Management for Long-Horizon Coding Agents
SWE-MeM introduces adaptive memory management for coding agents via synthesized trajectories and Memory-aware GRPO, reporting 43.4% and 60.2% resolve rates on SWE-Bench Verified for 4B and 30B models while beating baselines on performance and token use.