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cs.CL2026
Logic-Regularized Verifier Elicits Reasoning from LLMs
Xinyu Wang, Changzhi Sun, Lian Cheng +4
Verifiers are crucial components for enhancing modern LLMs' reasoning capability. Typicalverifiers require resource-intensive superviseddataset construction, which is costly and fa…
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…