GLOVE: Global Verifier for LLM Memory-Environment Realignment

arXiv:2601.19249 · cs.AI · Submitted 2026-01-27 · Read on arXiv

cs.AI

Submitted: 2026-01-27

Updated: 2026-09-26

Code: https://github.com/NICE-HKU/GLOVE

Terminology

• Verifier — 48× in this paper · explained in 2 episodes
• Verification — 29× in this paper · explained in 2 episodes
• Robustness — 20× in this paper · explained in 5 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Adaptation — 10× in this paper · explained in 1 episode
• Introspection — 6× in this paper · explained in 2 episodes
• Large Language Model — 6× in this paper
• Consistency — 5× in this paper · explained in 3 episodes
• Semantic Drift — 5× in this paper · explained in 3 episodes
• RAG — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation — 3× in this paper
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Cognitive Load — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Non-stationarity — 2× in this paper · explained in 2 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Active Exploration — 1× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Agent Architectures — 1× in this paper · explained in 1 episode
• Concept Drift — 1× in this paper · explained in 4 episodes
• Imitation Learning (IL) — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Memory Decay — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 5 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• OpenAI Gym
• Training Verifiers to Solve Math Word Problems
• MemGPT: Towards LLMs as Operating Systems
• Real-Time Reasoning Agents in Evolving Environments
• Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
• Agent Learning via Early Experience

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