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onurkeles
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llama-2-7b-econ-chat-qa

Text Generation
Transformers
PyTorch
English
llama
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -54,4 +54,4 @@ The LLaMA-2-Econ Q&A model's performance was evaluated against a set of criteria
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  3. **Model Comparison:** LLaMA-2-Econ's generated answers, produced without any RAG integration, were compared against these human-verified reference responses.
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  ### Citation:
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- Keleş, O. & Bayraklı, Ö. T. (Fortcoming 2024, May). LLaMA-2-Econ: Enhancing Title Generation, Classification, and Academic Q&A in Economic Research. To be presented in LREC-COLING 2024, 4th Workshop on ECONLP: Turin, Italy.
 
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  3. **Model Comparison:** LLaMA-2-Econ's generated answers, produced without any RAG integration, were compared against these human-verified reference responses.
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  ### Citation:
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+ - Keleş, O. & Bayraklı, Ö. T. (Fortcoming 2024, May). LLaMA-2-Econ: Enhancing Title Generation, Classification, and Academic Q&A in Economic Research. To be presented in LREC-COLING 2024, 4th Workshop on ECONLP: Turin, Italy.