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Home/Authors/Sebastian Schreiber

Sebastian Schreiber

1 indexed paper

Recent (6 mo)
1
With code
0
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Publications per year

1
26

Top categories

AI×1Info Retrieval×1ML×1

Frequent co-authors

Vaishali Senthil1×
Ashutosh Hathidara1×

Research Timeline

2026
CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval

CoHyDE introduces an iterative co-training framework that jointly optimizes an LLM rewriter and a dense encoder, significantly improving tool retrieval accuracy for LLM agents, especially on vague queries.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.IRcs.LGRecentMay 28, 2026

CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval

Vaishali Senthil, Ashutosh Hathidara, Sebastian Schreiber

CoHyDE introduces an iterative co-training framework that jointly optimizes an LLM rewriter and a dense encoder, significantly improving tool retrieval accuracy for LLM agents, especially on vague que…

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