onurkeles
/

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

Text Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

onurkeles commited on Mar 25, 2024

Commit

ad106e3

·

verified ·

1 Parent(s): 044c037

Update README.md

Files changed (1) hide show

README.md +3 -0

README.md CHANGED Viewed

@@ -52,3 +52,6 @@ The LLaMA-2-Econ Q&A model's performance was evaluated against a set of criteria
 1. **Reference Answers Generation:** A subset of synthetically created questions was used to obtain reference answers from the base LLaMA-2-7B-chat model integrated with a Retrieval Augmented Generation (RAG) pipeline, employing semantic search and dense vector indexing.
 2. **Human Verification:** The reference answers were subjected to human verification to ensure their relevance and accuracy.
 3. **Model Comparison:** LLaMA-2-Econ's generated answers, produced without any RAG integration, were compared against these human-verified reference responses.

 1. **Reference Answers Generation:** A subset of synthetically created questions was used to obtain reference answers from the base LLaMA-2-7B-chat model integrated with a Retrieval Augmented Generation (RAG) pipeline, employing semantic search and dense vector indexing.
 2. **Human Verification:** The reference answers were subjected to human verification to ensure their relevance and accuracy.
 3. **Model Comparison:** LLaMA-2-Econ's generated answers, produced without any RAG integration, were compared against these human-verified reference responses.
+### Citation:
+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.