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cs.CL2025
InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation
Bowen Cao, Deng Cai, Wai Lam
In-context learning (ICL) is critical for large language models (LLMs), but its effectiveness is constrained by finite context windows, particularly in ultra-long contexts. To over…
cs.CL2024
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai, Huayang Li, Tingchen Fu +11
Despite the general capabilities of pre-trained large language models (LLMs), they still need further adaptation to better serve practical applications. In this paper, we demonstra…