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#artificial intelligence Preprint Aug 2026

TSS: Target-Side Sparsification for Speculative Decoding in Domain-Specific Large Language Models

Speculative decoding accelerates large language model inference through collaboration between a lightweight draft model and a target verifier. Existing methods mainly improve the draft side, while the target model is typically kept dense and unchanged. We show that, under domain-specific inference, full-depth target ve...

Hai-Bo Hu, Lian-Ming Huang, Qiao Li et al. · 0 citations

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever

Behavior Aligned Retrieval (BAR) is proposed, a backbone-agnostic training recipe that teaches a dense retriever a behavior-aware similarity, keeping semantically related candidates close only when their tool-use behavior is compatible.

Yixin Chen, Ying Xiong, Shangyu Wu et al. · 0 citations

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