SWE-agent introduces a custom agent-computer interface that lets LM agents solve software engineering tasks, reaching 12.5% pass@1 on SWE-bench and 87.7% on HumanEvalFix, exceeding prior non-interactive approaches.
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MedExAgent models clinical diagnosis as a POMDP with patient and exam noise, then uses supervised fine-tuning followed by DAPO optimization to train an agent that matches larger models on diagnostic accuracy while controlling exam costs.
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SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
SWE-agent introduces a custom agent-computer interface that lets LM agents solve software engineering tasks, reaching 12.5% pass@1 on SWE-bench and 87.7% on HumanEvalFix, exceeding prior non-interactive approaches.
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MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments
MedExAgent models clinical diagnosis as a POMDP with patient and exam noise, then uses supervised fine-tuning followed by DAPO optimization to train an agent that matches larger models on diagnostic accuracy while controlling exam costs.