Stars
[NAACL '25] Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
code and resources for our paper "Achieving Joint Training Accuracy in Continual Learning" in AAAI2025
Code for paper called Self-Training Elicits Concise Reasoning in Large Language Models
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".
AGIent and Tool-Mart: A Super-Agent Framework Enabled by Marketplace-Driven Tool Selection
AI Agent Version Control Framework for Real-Time Updation of Tools
Investigating the impact of the three message types on LLMs responses
Real-time AI-driven Trending keyword generation for SEO
Language Model Learning a Dataset for Data-Augmented Prediction
Skip YouTube video sponsors (browser extension)
Automated LLM-based Prompt Engineering for Structured Data Processing
Automated Filtering of Undesirable Web Data to Update LLM Knowledge