Hindsight Structured Advice Distillation: Steering Executor Agents with Advisors Trained on Their Failures and Task Characteristics
Language-model agents are used for specialized work such as financial research, healthcare and law.
ProofPaper ↗
Key points
- Such agents are often capable enough for a task but still miss its details.
- We propose to learn to generate this guidance instead.
- A small advisor model reads each input and writes structured advice, which is appended to the prompt of a frozen executor.
- We call this approach hindsight structured advice distillation (HSAD).
Sources (1)
- [1]Hindsight Structured Advice Distillation: Steering Executor Agents with Advisors Trained on Their Failures and Task CharacteristicsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 9, 05:03 AM
Language-model agents are used for specialized work such as financial research, healthcare and law.
Such agents are often capable enough for a task but still miss its details.
Extractive summary: sentences quoted from the sources.
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