…constraint application until after a trigger token is generated, improving accuracy in classification and reasoning tasks. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Natural generation allows Large Language Models (LLMs) to…
…Experiments show that leveraging coordination-path diversity improves performance over fixed coordination strategies while providing interpretable intermediate behaviors. The code is available at:https://github.com/AIFrontierLab/TorchUMM/tree/main/src/umm…
…GUI agents by incorporating reusable app-specific graph knowledge to improve task planning and execution efficiency. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Recent advances in mobile GUI agents have shown…
…complicated agent framework really improve performance over a simpler approach" doesn't have an immediately obvious answer to me. I took the liberty of converting your javascript code into python and implementing…
…Experiments across multiple model scales and architectures show that SEIF consistently improves instruction-following performance, suggesting strong generality. Further analyses reveal the sources of improvement and identify an effective training strategy for…
…Benchmarking and Improving Instruction Following Abilities for Omni-Video Captioning Published on Jun 7 Submitted by jiahaowang on Jun 9 NJU-LINK Lab Authors: Jiahao Wang , An Ping , , , , , , , Han Wang , , , , , , , Abstract OmniCap…
…models can improve translation for low-resource languages through structured linguistic reasoning traces, with the most significant benefits occurring during inference rather than training. Generated by Qwen/Qwen2.5-Coder-32B-Instruct…
…Yet, limited bandwidth and on-device compute resources prevent full utilization when transmitted via conventional codecs like JPEG/MPEG. Newer codecs, like AV1/AVIF, improve the rate-distortion trade-off, but demand…
…Action-Aligned Visual Planning via Internalized Affordance (2026) CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models (2026) Action with Visual Primitives (2026) Guide, Think, Act…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reasoning models improve accuracy through extended chains of thought, but their long outputs create a memory and compute bottleneck. KV cache eviction methods reduce…