Combining contrastive loss with KLD distillation and adding sparsity regularization improves effectiveness and reduces FLOPS by 2x in conversational search with minimal recall loss.
A Survey of Conversational Search
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cs.IR 2years
2026 2verdicts
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Human-AI teams with RAG assistants outperform AI-only systems in information-seeking tasks independent of model size, with similar perceived usability across 3B to 70B models.
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Improving the Efficiency and Effectiveness of LLM Knowledge Distillation for Conversational Search
Combining contrastive loss with KLD distillation and adding sparsity regularization improves effectiveness and reduces FLOPS by 2x in conversational search with minimal recall loss.
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Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?
Human-AI teams with RAG assistants outperform AI-only systems in information-seeking tasks independent of model size, with similar perceived usability across 3B to 70B models.