Papers by Mai Nishimura
Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities (2026.acl-long)
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| Challenge: | Existing agentic RAG systems rely on large language models with billions of parameters. |
| Approach: | They propose a method to elicit agentic RAG behaviors from compact models . they propose ARC, which uses cold-start initialization and teacher guidance . |
| Outcome: | The proposed method outperforms the larger teacher model in some cases. |