Tracked topic
…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…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Mixture-of-Experts (MoE) is now the dominant architecture for frontier language models, yet it requires all expert parameters to be loaded in memory…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Autoregressive generation in large language models (LLMs) conventionally decodes from the final layer, assuming that deeper representations yield more reliable next-token predictions . We…
Accelerating Qwen3-8B Agent on Intel® Core™ Ultra with Depth-Pruned Draft Models
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct When applying Group Relative Policy Optimization (GRPO) for GUI Grounding , rollouts are sampled from a single screenshot view; groups often become either all failures…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning pipelines for Large Language Model (LLM) training often rely on manually redesigned environments between stages, requiring practitioners to heuristically infer which configuration…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Scaling robot learning requires massive, diverse trajectory data, yet collection is currently bottlenecked by physical teleoperation, where every demonstration binds operator time to specific…
Papers arxiv:2606.19341 Native Active Perception as Reasoning for Omni-Modal Understanding Published on Jun 17 Submitted by Zhenghao Xing on Jun 18 Qwen Authors: Zhenghao Xing , , , , , , , , , , Abstract OmniAgent is a…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Key-value (KV) cache growth is a major bottleneck in autoregressive decoding , as memory and bandwidth scale linearly with context length. Existing KV eviction…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Large language models perform increasingly well on standardized logical reasoning benchmarks , but whether this ability remains robust beyond English is unclear. We introduce ChLogic…