2 papers
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
Large Language Models Can Self-Improve in Long-context Reasoning
Siheng Li, Cheng Yang, Zesen Cheng +4
Large language models (LLMs) have achieved substantial progress in processing long contexts but still struggle with long-context reasoning. Existing approaches typically involve fi…