ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents
cs.AI, cs.IR
Submitted: 2026-09-29
Updated: 2026-10-03
Code: https://github.com/Quhaoh233/ReMem
Project page: https://amazon-reviews-2023.github.io/10https://unsloth.ai/10
Sources
- Rethinking Large Language Model Architectures for Sequential Recommendations
- VTC-R1: Vision-Text Compression for Efficient Long-Context Reasoning
- DeepSeek-OCR: Contexts Optical Compression
- DeepSeek-OCR 2: Visual Causal Flow
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
- PaddleOCR 3.0 Technical Report
- A Survey of Large Language Models
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