Reviewer2 prompt generation
According to the model card, this is the prompt generation model (Mp) for the Reviewer2 pipeline.
Open Source Model Profile · GitBag
Reviewer2_Mp
Reviewer2_Mp is a Llama-family text-generation model from GitBag. According to the model card, it serves as the prompt generation model for Reviewer2.
- Publisher
- GitBag
- Task
- text-generation
- Model type
- llama
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
Reviewer2_Mp is published by GitBag as a llama text-generation model. The captured configuration identifies LlamaForCausalLM. According to the model card, it is the prompt generation model for the Reviewer2 pipeline.
Recorded capabilities
Llama Transformers config
Captured configuration identifies LlamaForCausalLM with llama type and transformers library support.
Apache-2.0 research record
Captured metadata records apache-2.0 licensing with conversational, text-generation-inference, and endpoints-compatible tags.
Paper-grounded citation
According to the model card, the model connects to arXiv 2402.10886 with a full Reviewer2 citation.
Use cases in the source record
- Conversational text-generation workflows using transformers or text-generation-inference-compatible runtimes.
- Review-generation research that follows the publisher-documented Reviewer2 pipeline and requested paper citation.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No parameter count was extracted from this record.
- No context-window value was extracted from this record.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: GitBag/Reviewer2_Mp
Captured: Unknown. Processed: 2026-09-07T19:34:31.020006+00:00.
Prompt Generation Model for Reviewer2 This is the prompt generation model (Mp) for our Reviewer2 pipeline. A demo of the model is provided in this repo . Citation If you find this model useful in your research, please cite the following paper: @misc{gao2024reviewer2, title={Reviewer2: Optimizing Review Generation Through Prompt Generation}, author={Zhaolin Gao and Kianté Brantley and Thorsten Joachims}, year={2024}, eprint={2402.10886}, archivePrefix={arXiv}, primaryClass={cs.CL} }
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