Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

The Tensorflow implementation of "Review-driven Answer Generation for Product-related Questions in E-commerce ", WSDM 2019.

Vietnamese Legal Question Answering with Machine Reading Comprehension (MRC) and Answer Generation (AG) approches. (KSE 2024)

Code for Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning, EMNLP 2021

Work on answering questions in digital humanities (history) using various large language models (LLMs)

ViAG: A Novel Framework for Fine-tuning Answer Generation models ultilizing Encoder-Decoder and Decoder-only Transformers's architecture

Comprehensive Evaluation On Answer Calibration For Multi-Step Reasoning

In this we generate QA pairs from the paragraph content and pdf content

A Python library for generating high-quality question-answer pairs from PDF, DOCX, MD, and TXT files

This app allows users to auto-generate unlimited exam preparation questions, based off their own, or a community created question.

A Python library for generating high-quality question-answer pairs from PDF, DOCX, MD, and TXT files

Open-Domain Chitchat System with Multi-Module Architecture for Enhanced Conversational AI

AI Answer Generator is a Python tool that uses Google Gemini to generate smart answers to your questions and reads them aloud using pyttsx3.