Tracked topic
Qwen3 is an AI model family developed by Alibaba, released as a set of large language models for natural-language tasks.
…Reza Bayat , , Abstract Tapered language models allocate more parameters to earlier layers and fewer to later layers, improving performance without increasing total parameters or compute costs. Generated by Qwen/Qwen2.5-Coder…
…synthetic dataset with automated task generation and verification achieves significantly improved performance on desktop interaction benchmarks. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Training computer-use agents (CUAs) -- models that interact…
…effectively replace teleoperated robot trajectories for embodied model pretraining, achieving better performance with reduced data collection costs. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Embodied foundation models are expected to benefit…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their primary focus on content creation. For…
…language models causes performance degradation through shared computational pathways, but targeted refresh and rollback techniques can selectively recover lost capabilities with minimal side effects. Generated by Qwen/Qwen2.5-Coder-32B-Instruct…
…Ryota Komatsu , , , Abstract A speaker-disentangled syllabic tokenizer regresses perturbed student representations toward clean teacher targets to improve syllable boundary detection and speech language modeling performance. Generated by Qwen/Qwen2.5-Coder…
…standardized patients to evaluate clinical agents' dynamic performance across encounters, revealing limitations of current large language models in medical applications. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Large language models (LLMs…
…for precise visual editing tasks, revealing low performance across models and identifying key challenges in geometric transformations and structural manipulations. Generated by Qwen/Qwen2.5-Coder-32B-Instruct While current multimodal models…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Video understanding is a fundamental capability for multimodal intelligence, and recent Multimodal Large Language Models (MLLMs) have achieved remarkable performance on Video Question Answering…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Expressive performance rendering (EPR) aims to generate realistic performances constrained on sequences of notes. However, flow matching audio editing models manipulate only synchronized music…