Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files
CauseNet: Towards a Causality Graph Extracted from the Web
Machine Comprehension Train on MSMARCO with S-NET Extraction Modification
Analysis on the MS-MARCO leaderboard regarding the machine reading comprehension task.
This repo shows how foundational model hallucinates and how we can fix such hallucinations using fine-tuning them
Fixed some bugs and edited original baseline scripts from MS MARCO
阅读/论文笔记
MONSERRATE is a dataset specifically created to evaluate Question Generation systems. It has, on average, 26 questions associated to each source sentence, attempting to be an “exhaustive” reference.
A Fine-Grained Analysis of Distribution Shifts in MSMARCO (MS-Shift). Evaluation benchmark on three types of distribution shifts, all conditioned on MSMARCO queries.
Final project for course on deep learning for nlp (IA376E/1s2020 @ Unicamp)
Python code to train SPLADE sparse retrieval models based on BERT-Tiny (4M) and BERT-Mini (11M) by distilling a Cross-Encoder on the MSMARCO dataset
Information Retrieval Using TFIDF and Conv-KNRM
Learning-to-Rank on MS MARCO Passages: candidate generation from prebuilt indexes and re-ranking for QA search
End-to-end Information Retrieval (IR) system implemented in Python
Fine-tuning of transformer-based models to predict semantically relevant outlinks in large-scale web crawling. Includes binary classification, score estimation with QualT5, and a multimodal BERT architecture integrating textual and metadata features for robust frontier prioritisation.
Doc-Phi: An Intelligent Document Finder
In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool
Document search engine built for the MSMARCO collection. Multimedia Infomation Retrieval @ University of Pisa
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