Search Agents Learn to Abstain to Reduce Hallucinations
_reachsumit · x · 2026-07-14
Search Agents Learn to Abstain to Reduce Hallucinations
Alibaba has proposed a training method for search agents: using abstention-aware reinforcement learning, agents are taught to dynamically abstain from answering when uncertain, rather than forcing a hallucinated response.
The core ideas are:
- Training specifically against the hallucination issues of search agents
- Encouraging the model to abstain when unreliable through dynamically calibrated refusal reward
- Aiming to improve the reliability and robustness of search agent responses
This approach focuses more on controlling the agent's behavior during real-world retrieval and answering pipelines, rather than merely boosting generative capabilities.
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