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cs.IR2025★ 1 cited
RankLLM: A Python Package for Reranking with LLMs
Sahel Sharifymoghaddam, Ronak Pradeep, Andre Slavescu +7
The adoption of large language models (LLMs) as rerankers in multi-stage retrieval systems has gained significant traction in academia and industry. These models refine a candidate…
cs.IR2024
An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking
Zijian Chen, Ronak Pradeep, Jimmy Lin
Recent advances have demonstrated that large language models (LLMs) excel as listwise rerankers, but their high computational demands remain a barrier to widespread adoption. Furth…