How I Optimized My Leaf Raking Strategy Using Linear Programming
From a weekend chore to a fun application of valuable operations research principles The post How I Optimized My Leaf Raking Strategy Using Linear Programming a...
From a weekend chore to a fun application of valuable operations research principles The post How I Optimized My Leaf Raking Strategy Using Linear Programming a...
While end-to-end (E2E) automatic speech recognition (ASR) models excel at general transcription, they struggle to recognize rare or unseen named entities (e.g.,...
Streaming Speech-to-Text Translation (StreamST) requires producing translations concurrently with incoming speech, imposing strict latency constraints and deman...
Multimodal large language models (MLLMs) extend LLMs with visual understanding through a three-stage pipeline: multimodal preprocessing, vision encoding, and LL...
The ChatGPT maker is aiming to raise the funding by the end of the first quarter in 2026, and the company may ask sovereign wealth funds to invest in the round....
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...
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...
The developers of a browser tool that changes AI-centric LinkedIn posts to Allen Iverson facts want to help “take back control of your experience of the interne...
Large Language Models (LLMs) are increasingly applied to real-world code generation, where functional correctness alone is insufficient for reliable deployment,...