新闻
Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers extended SwiftSage, a dual-process language agent, with memory and self-reflection modules to improve performance in interactive environments like ScienceWorld.
- 为何重要
- Matters for engineers building autonomous agents that must track state, execute actions, and recover from failures across long task sequences.
- 注意
- Results are limited to ScienceWorld benchmark; unclear how well these extensions transfer to other interactive environments or real-world applications.
- agent
- rag
- retrieval
- eval
- long-horizon
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