…4) Evaluation, covering both evaluation of the world model itself and its use as an evaluation environment for agents. We aim to consolidate this rapidly developing area, clarify its design space, and…
…Mastery-Consolidated Policy Optimization for Large Reasoning Models (2026) EP-GRPO: Entropy-Progress Aligned Group Relative Policy Optimization with Implicit Process Guidance (2026) PAPO: Stabilizing Rubric Integration Training via Decoupled Advantage Normalization…
…Exploring the Pruning and Distillation in Large MoE Model Pre-training (2026) Post-Trained MoE Can Skip Half Experts via Self-Distillation (2026) ConMoE: Expert-Pool Consolidation via Prototype Reassignment for MoE…
…We provide a unified analysis of these two paradigms in consolidating multiple expert capabilities into a single model, identifying capability loss in different ways: mixed RLVR suffers from inter-capability divergence cost…
…Inspired by human memory consolidation, Echo-Infinity replaces handcrafted memory curation with learnable Memory Query , which are updated by attention and a gating mechanism when past frames are evicted from the local…
…Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora (2026) Self-Consolidating Language Models: Continual Knowledge Incorporation from Context (2026) Self-Improvement of Large Language Models: A Technical Overview and…
…Unified Post-Training for Large Vision-Language Models (2026) OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models (2026) SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting…
Papers arxiv:2605.04045 Audio-Visual Intelligence in Large Foundation Models Published on May 5 Submitted by Hao Fei on May 8 National University of Singapore Authors: , , Shengqiong Wu , , , , , , , , , Lei Cui , , , Hao…
…A Hierarchical Skill Consolidation Framework for Self-Evolving Agents (2026) SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision (2026) Please give a thumbs up to this comment if you…
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