…Building upon this, DataClaw_0-9B model synergizes Supervised Fine-Tuning (SFT) with Group Relative Policy Optimization (GRPO), achieving robust alignment with complex refinement and tailoring intents. To systematically quantify this capability…
…with a substantially smaller backbone (4B active parameters). Typed profiles and RDI surface failure modes that aggregate metrics hide; we further show these diagnostics serve as calibration inputs for multi-agent debate…
…To bridge this gap, we employ LoRA as a controlled memory capacity probe within the latent space to systematically quantify exact parametric memory . We introduce the Parametric Memory Law, a robust power…
…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…
…GEAR resolves this with a dual read-out of the codebook assignment . A hard, one-hot branch trains the AR with next-token prediction , while a differentiable soft branch carries a representation…
…while broad quantitative comparisons, live-provider quality, optional-backend availability, and memory quality are left for follow-on evaluation. The central thesis is that Session provides agent systems with a first-class…
…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…
…To address the second challenge, we introduce a parameter-efficient FP8-aware quantization-aware training (FP8-aware QAT) strategy with partial attention distillation , which freezes the vast majority of pretrained backbone parameters…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Long-horizon search agents accumulate large amounts of retrieved content across many tool calls, making context-budget efficiency increasingly important. A minimal intervention is…