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cs.CL2026
AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents
Wenhui Zhu, Xiwen Chen, Zhipeng Wang +11
Long-horizon LLM agents require memory systems that remain accurate under fixed context budgets. However, existing systems struggle with two persistent challenges in long-term dial…
cs.CL2025
Learning to Reason with Mixture of Tokens
Adit Jain, Brendan Rappazzo
Reinforcement learning with verifiable rewards (RLVR) has become a leading approach for improving large language model (LLM) reasoning capabilities. Most current methods follow var…
cs.CL2024
GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation
Brendan Hogan Rappazzo, Yingheng Wang, Aaron Ferber +1
The ability to form, retrieve, and reason about memories in response to stimuli serves as the cornerstone for general intelligence - shaping entities capable of learning, adaptatio…