Learning to Retrieve Missing Evidence for Long-Term Memory QA

arXiv:2609.37443 · cs.CL, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Accuracy — 41× in this paper · explained in 1 episode
• Verification — 21× in this paper · explained in 2 episodes
• Verifier — 19× in this paper · explained in 2 episodes
• Aggregation — 17× in this paper · explained in 1 episode
• GRPO — 13× in this paper · explained in 6 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Provenance — 5× in this paper · explained in 4 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Knowledge Graph — 3× in this paper · explained in 7 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Agent Memory — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Group Relative Policy Optimization — 2× in this paper
• Group Relative Policy Optimization (GRPO) — 2× in this paper · explained in 5 episodes
• Missing-Evidence Retrieval Augmentation — 2× in this paper
• RAG — 2× in this paper · explained in 3 episodes
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Granularity Mismatch — 1× in this paper · explained in 2 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Self-Evolving Agents — 1× in this paper · explained in 2 episodes

Sources

• LightMem: Lightweight and Efficient Memory-Augmented Generation
• Proximal Policy Optimization Algorithms
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Qwen3 Technical Report
• MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

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