CodeBERTScore: an automatic metric for code generation, based on BERTScore
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Updated
Mar 1, 2024 - Jupyter Notebook
CodeBERTScore: an automatic metric for code generation, based on BERTScore
EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
MAchine Translation Evaluation Online (MATEO)
LLM Evaluation and Observability System for Football Content
AUTOMATIC ROMANIAN TEXT GENERATION USING GPT-2
ViAG: A Novel Framework for Fine-tuning Answer Generation models ultilizing Encoder-Decoder and Decoder-only Transformers's architecture
TaxMate – RAG-based Tax Law Query Bot A semantic legal assistant powered by Retrieval-Augmented Generation (RAG) to simplify access to Indian tax law. It utilizes FAISS-based retrieval, Cohere reranking, and local LLaMA 2 inference to provide accurate tax-related answers through an interactive Streamlit UI.
Medical Question Answering System using on PubMed dataset.
Fine-tuning GPT-3.5 and Llama3 LLMs for enhanced persona consistency in chatbots using Google's Synthetic Persona Chat dataset
Detecting and Mitigating Self Contradictory Hallucinations in LLMs using a Multi-Agent System and Stepback Prompting
Summarization, clastering and characterization of text categories using LLM
Code and data from the master’s thesis “Decoding Spatial Semantics”. Analyzes and compares open-source LLMs and NMT systems in translating spatial prepositions from English to Brazilian Portuguese. Includes preprocessing scripts, datasets, and evaluation metrics.
BleuMacaw: GPT-2 and SentenceTransformers for Paraphrases Generation
The work presented was developed during the internship, as researchers in the field of Natural Language Generation, at the Insid&s Lab laboratory in Milan-Bicocca. The work carried out deals with the creation of a framework for the correct assessment of the impact of the quality of the input datasets on the quality of the text generated by the N…
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