Abstract: Transformer-based models have demonstrated state-of-the-art performance in various intelligent coding tasks such as code comment generation and code completion. Previous studies show that ...

LoRI (LoRA with Reduced Interference) is a simple yet effective variant of LoRA for fine-tuning LLMs. It freezes the projection matrices A as random projections and sparsifies B using task-specific ...

Abstract: Distributed joint source-channel coding (DJSCC) refers to the correlated sources which are encoded separately and reconstructed in the centre node by joint decoding. Therefore, the ...

PhysicianBench is a benchmark for evaluating LLM agents on physician tasks grounded in real clinical workflows. It comprises 100 long-horizon tasks (670 sub-checkpoints) adapted from real primary-care ...

At some point over the last 18 months, the term “open-source artificial intelligence (AI)” began to make policymakers nervous ...

Since its debut, Zhipu AI's GLM-5.2 has been generating a lot of buzz across social media with investors, founders, and developers expressing awe at the high-performance and capabilities of the new ...

Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...

GERMANY currently sit at the summit of Group E, having delivered a clinical opening-night performance that signalled their terrifying attacking prowess. They now take on the Ivory Coast, who ...

Physical AI for life sciences—where intelligent agents do not merely generate textual answers but translate experimental ...

Discover the best software development project management tools, tested for agile teams, DevOps pipelines, and enterprise ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...