Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking
Paper
•
2405.07920
•
Published
•
3
This model was introduced in the paper Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking.
For code, examples and more, please visit https://github.com/webis-de/msmarco-llm-distillation.
- Downloads last month
- 8,925
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for webis/monoelectra-base
Base model
google/electra-base-discriminator