Multimodal large language models (MLLMs) extend LLMs with visual understanding through a three-stage pipeline: multimodal preprocessing, vision encoding, and LL...
Article URL: https://terriblesoftware.org/2025/12/19/the-strange-case-of-engineers-who-dismiss-ai/ Comments URL: https://news.ycombinator.com/item?id=46325360 P...
We introduce PathBench-MIL, an open-source AutoML and benchmarking framework for multiple instance learning (MIL) in histopathology. The system automates end-to...
Software Defect Prediction (SDP) models are central to proactive software quality assurance, yet their effectiveness is often constrained by the quality of avai...
A Tiny Benchmark that Exposes Silent Failure Modes in AI and ML Pipelines Most AI blog posts show best practices: clean architectures, neat abstractions, and i...
Electricity systems are key to transforming today's society into a carbon-free economy. Long-term electricity market mechanisms, including auctions, support sch...
Benchmarks like SWE-bench have standardized the evaluation of Large Language Models (LLMs) on repository-level software engineering tasks. However, these effort...
We present an aircraft maintenance scheduling problem, which requires suitably qualified staff to be assigned to maintenance tasks on each aircraft. The tasks o...
Overview There is a new way to train image‑generating AIs that helps them avoid getting stuck repeating the same output, and it often feels more steady during...
Spatio-Temporal Graph Neural Networks (ST-GNNs) are well-suited for processing high-frequency data streams from geographically distributed sensors in smart mobi...
Federated Learning (FL) allows multiple clients to collaboratively train a model without sharing their private data. However, FL is vulnerable to Byzantine atta...
Overview OpenAI Gym is a simple playground for teaching computers through trial and error. You drop a task in, the program tries actions, learns from mistakes,...
