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cs.CL2026
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
Jinghan Cao, Yu Ma, Xinjin Li +2
Large Language Models achieve remarkable performance but incur substantial computational costs unsuitable for resource-constrained deployments. This paper presents the first compre…
cs.CL2026
TeleMem: Building Long-Term and Multimodal Memory for Agentic AI
Chunliang Chen, Ming Guan, Xiao Lin +8
Large language models (LLMs) excel at many NLP tasks but struggle to sustain long-term interactions due to limited attention over extended dialogue histories. Retrieval-augmented g…
cs.CL2025
Beyond Heuristics: A Decision-Theoretic Framework for Agent Memory Management
Changzhi Sun, Xiangyu Chen, Jixiang Luo +2
External memory is a key component of modern large language model (LLM) systems, enabling long-term interaction and personalization. Despite its importance, memory management is st…