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cs.MA2025
EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
Wenzhe Fan, Ning Yan, Masood Mortazavi
Planning has been a cornerstone of artificial intelligence for solving complex problems, and recent progress in LLM-based multi-agent frameworks have begun to extend this capabilit…
cs.CL2025
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
Chunyu Miao, Henry Peng Zou, Yangning Li +28
Large language models (LLMs) show the promise in supporting scientific research implementation, yet their ability to generate correct and executable code remains limited. Existing…