Kan Shao
1 indexed paper
Recent (6 mo)
1With code
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126
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NLP×1
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2026
Cross-Environment Neural Reranking for Sample-Efficient Action Selection in Text-Based Agents
The paper demonstrates that jointly training a single lightweight neural reranker on multiple diverse environments significantly improves action selection performance and achieves positive cross-domain transfer, making the system highly sample-efficient.
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