1
RePo: Language Models with Context Re-Positioning
新方法RePo让大模型重新调整上下文位置，提升长文本理解与推理能力。
arXiv:2512.14391v3 Announce Type: replace-cross Abstract: In-context learning is fundamental to modern Large Language Models (LLMs); however, prevaili…
2
Periodic RoPE for Infinite Context LLMs
提出Periodic RoPE方法，让大模型突破上下文长度瓶颈，实现无限长序列理解，是长文本处理的重要进步。
arXiv:2605.27980v1 Announce Type: cross Abstract: The ability to process ultra-long contexts is crucial for large language models (LLMs) to perform lo…