新闻
An RLM agent for searching Wikidata, and the traces to train on it
Pleias · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers released an open recursive language model harness enabling models to search Wikidata through code rather than pasting results into context.
- 为何重要
- Matters for engineers building knowledge assistants, semantic search systems, or tools that need to query structured databases with complex multi-step reasoning.
- 注意
- The evaluation uses only 100 test questions; multi-hop performance remains challenging with best scores of 28 out of 50 correct answers on harder questions.
- agent
- language model
- eval
- open-weight
- gpt
这条新闻背后的模式
- Context Editing & Tool-Result Clearing
- Agentic Context Engineering (Evolving Playbook)
- Structure-Aware Codebase Retrieval (Repo Map)
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
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