We introduce SEGMENT+, a general framework that enables LMs to handle extended inputs within limited context windows efficiently.

This fragmen- tation presents challenges for tasks requiring the synthesis and reasoning across multiple segments of a long text (BehnamGhader et al., 2023).

There is a growing interest in expanding the input capacity of language models (LMs) across various domains. However, simply increasing the context window does ...

Oct 9, 2024 · We introduce Segment + , a general framework that enables LMs to handle extended inputs within limited context windows efficiently.

Oct 9, 2024 · The Segment+ approach breaks down the long input text into smaller, more manageable chunks or "segments." Each segment is then processed ...

This repo includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation ...

Nov 4, 2024 · SEGMENT+: Long Text Processing with Short-Context Language Models. Paper • 2410.06519 • Published 28 days ago · StructRAG: Boosting Knowledge ...

Oct 12, 2024 · SEGMENT : Long Text Processing with Short-Context Language Models Combining structured notes and filtering **Solution in this Paper** ...

SEGMENT+: Long Text Processing with Short-Context Language Models ... There is a growing interest in expanding the input capacity of language ...

SEGMENT+: Long Text Processing with Short-Context Language Models ... There is a growing interest in expanding the input capacity of language models (LMs) across ...