GitHub

Subgraph-conditioned Graph Information Bottleneck

We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...
IEEE

Context-Aware Retrieval Augmented Generation Using Similarity Validation to Handle Context Inconsistencies in Large Language Models

Abstract: Large Language Models (LLMs) have transformed natural language processing by offering human-like responses. However, issues such as incorrect information (hallucinations) and errors in ...
GitHub

Simple, Practical, Single-Server Private Information Retrieval for Keyword Queries

ChalametPIR allows a client to retrieve a specific value from a key-value database, stored on a server, without revealing the requested key to the server. It uses Binary Fuse Filters to encode ...
IEEE

Advancing Amharic Information Retrieval: A Comparative Analysis of Traditional, Neural, and Transformer-Based Models

Abstract: Amharic, the official language of Ethiopia, presents unique challenges for information retrieval (IR) due to its complex morphology, vocabulary richness, and limited computational and ...
techxplore

Benchmarking framework reveals major safety risks of using AI in lab experiments

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, a new study shows that it should not yet be trusted in many lab ...