…However, many existing methods tokenize motion with a single shared codebook, forcing heterogeneous motion signals into the same quantization space. Our frequency-domain analysis of human motion data reveals a clear mismatch…
…Can Code Agents Handle Data-Intensive Tasks? (2026) OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents (2026) Terminal-World: Scaling Terminal-Agent Environments via Agent Skills (2026) ORAgentBench: Can LLM…
…Quantum-inspired recurrent models using gated QKAN-FWPs demonstrate superior forecasting accuracy with reduced computational requirements compared to traditional LSTM networks for traffic matrix prediction. Generated by Qwen/Qwen2.5-Coder-32B…
…Cong Wan , Zeyu Guo , , Jiangyang Li , , , Xiangyang Luo , , Abstract Agentic Data Tailoring paradigm uses learnable data processing to structure high-entropy multimodal streams, with DataClaw_0-9B model achieving robust alignment through…
…Instead of relying on massive closed-source APIs, we used these empirical failure profiles to calibrate an asymmetric 6-role multi-agent debate pipeline. By forcing the agents through targeted safety gates…
…Enhancing Quantized Skill Abstractions via Visual Alignment and Iterative Refinement for Robotic Manipulation (2026) UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization (2026) AgentCVR: Active Multi…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning and agentic capabilities. However, rollout generation remains a dominant…
…quantizers ( VQVAE , LFQ , IBQ ) and to text-to-image generation . View arXiv page View PDF Project page GitHub 64 Add to collection Community 📄 Paper: https://arxiv.org/abs/2606.32039 💻 Code: https…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Modern agent systems often suffer from fragmented runtime state: transcripts, tool effects, memory events, workspace placement, branch provenance, and replay evidence are recorded separately…
…General-purpose compression schemes based on scalar quantization or resolution reduction are broadly applicable but fail to exploit inherent signal redundancies, resulting in suboptimal rate-distortion performance . Recent generative neural codec s…