11 citations · 31 across the 16 of their papers we have counts for
3 papers · 1 filter
Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
Kaustubh Pethkar, Ziyang Xiong, Zuofeng Shang +1
Continual incorporation of new knowledge is essential for the long-term evolution of large language models (LLMs). Existing approaches typically rely on parameter-update algorithms…
MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
Jiayi Chen, Yingcong Li, Guiling Wang
Modern language agents must operate over long-horizon, multi-turn histories, yet deploying such agents with Small Language Models (SLMs) remains fundamentally difficult. Full-conte…
Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation
Haiyan Zhao, Zirui He, Guanchu Wang +3
Activation verbalization explains hidden representations in natural language, but existing methods are mostly limited to self-explanation, where each model explains only its own ac…