…Extensive experiments across five datasets and multiple architectures demonstrate consistent improvements over competing SSL methods, advancing the state-of-the-art in semi-supervised medical image segmentation. View arXiv page View PDF…
…AI-generated summary With the advancement of multimodal large language models (MLLMs) and coding agents , the website development has shifted from manual programming to agent-based project-level code synthesis. Existing benchmarks…
…AI-generated summary Recent advancements in large audio language models have extended Chain-of-Thought (CoT) reasoning into the auditory domain , enabling models to tackle increasingly complex acoustic and spoken tasks. To…
…While English benchmark s have advanced rapidly, non-English counterparts remain scarce, leaving it unclear whether this progress generalizes across languages. A key obstacle is the difficulty of collecting realistic and diverse…
…awesome This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API MotuBrain: An Advanced…
…is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API SWE-Shepherd: Advancing PRMs for…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Recent advances in Vision-Language Models (VLMs) have achieved impressive performance across many tasks, yet prior studies report unsatisfactory performance when applying large language…
…AI-generated summary Autonomous scientific research is significantly advanced thanks to the development of AI agents . One key step in this process is finding the right scientific literature, whether to explore existing…
…https://github.com/daxintan-cuhk/SpeechEditBench https://huggingface.co/datasets/DiscreteSpeech/SpeechEditBench This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following…
…AI-generated summary LLM-based agents for GPU kernel generation are advancing rapidly, yet their progress is fundamentally constrained by the benchmarks they optimize against. Existing benchmarks are poorly aligned with production…