UpliftMem: Learning Set-Level Uplift for Agent Memory Retrieval
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- Bayesian Active Learning for Classification and Preference Learning
- AI Agents That Matter
- BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
- MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
- SkillAligner: Treating Retrieved Skills as Adaptable Drafts at Execution Time
- MemGPT: Towards LLMs as Operating Systems
- Dynamic Dual-Granularity Skill Bank for Agentic RL
- MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
- Qwen3 Technical Report
- WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
- MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
- Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
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