… In a controlled ARC-AGI Stream environment that exposes Retain, Delete, and Consolidate actions, agents preserve raw episodes by default and double the accuracy of their forced-consolidation counterparts; disabling consolidation entirely episodic management only matches this auto regime. …
Papers arxiv:2605.10537 Mela: Test-Time Memory Consolidation based on Transformation Hypothesis Published on May 11 Submitted by Lung-Chuan Chen on May 12 Musubi Authors: Lungchuan Chen Abstract A memory-augmented transformer architecture called Mela incorporates hierarchical memory modules inspire… …
… To address this, we propose FluxMem, a connectivity-evolving memory framework that models memory as a heterogeneous graph and progressively refines its topology through three stages: initial connection formation, feedback-driven refinement , and long-term consolidation . …
…model that integrates 3D scene understanding and future geometry prediction within a single framework. Our approach addresses the distinct requirements of these tasks through synergistic designs. First, a BEV representation consolidates multi…
…Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models (2026) MCPO: Mastery-Consolidated Policy Optimization for Large Reasoning Models (2026) Too Correct to Learn: Reinforcement Learning on Saturated…
…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…
…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…
…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…