Tracked topic
Qwen3 is an AI model family developed by Alibaba, released as a set of large language models for natural-language tasks.
…and keypoint descriptions, revealing gaps between language-grounded localization and visual correspondence while demonstrating strong prediction of downstream task performance. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Measuring structured object understanding…
…more reliable intermediate layers based on entropy-guided search, improving reasoning performance with minimal computational overhead. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Autoregressive generation in large language models (LLMs) conventionally…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct In long-context use, large language models frequently synthesize answers from the meaning of a relevant context span rather than literally copy-pasting them…
…CAR) to address soft boundary challenges in stereo conversion through local boundary decomposition and efficient scene-level inference. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Accurately modeling soft boundaries , e.g…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Multimodal image fusion aims to integrate complementary information from different modalities into a fused image that preserves rich local details while maintaining globally consistent…
…Experimental results show our method achieves up to 1.8x end-to-end acceleration in async RL training of Qwen3.5, Qwen3.6, and Qwen3.7 models. View arXiv page View PDF…
…Empirically, TRACE achieves competitive performance and efficiency gains on typical agentic benchmarks, e.g., improving Qwen3-14B Multi-Hop QA average accuracy by 2.8 points over competitive baselines at equal sampling…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning with verifiable rewards (RLVR) has been extended from single-domain training to multi-domain reasoning suites spanning mathematics, programming, and science. However…
…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…
…The performer becomes a multi-GPU Ulysses-style context-parallel group for the expensive next-unit latent generation. Each performer rank writes incoming K/V into a pre-sharded local cache . The…