May 7, 2024 · This paper introduces Step-Skipping Alignment (SkipAlign), a new technique designed to enhance the long-context capabilities of LLMs in the phase of alignment.
May 7, 2024 · This paper introduces Step-Skipping Alignment (SkipAlign), a new technique designed to enhance the long-context capabilities of LLMs in the phase of alignment.
Figure 1: SkipAlign modifies positional indices in instruction-following samples to simulate long-range dependency relations. The provided example showcases ...
May 7, 2024 · A new technique designed to enhance the long-context capabilities of LLMs in the phase of alignment without the need for additional efforts beyond training ...
May 7, 2024 · View recent discussion. Abstract: Effectively handling instructions with extremely long context remains a challenge for Large Language ...
May 7, 2024 · This paper presents a novel approach to improving language models' ability to comprehend and reason about long-form text.
Long Context Alignment with Short Instructions and Synthesized Positions. ... Can Many-Shot In-Context Learning Help Long-Context LLM Judges? See More ...
Sep 27, 2024 · Long-context models (LCMs) have shown great potential in processing long input sequences (even more than 100M tokens) conveniently and ...
Dec 1, 2024 · The expansion of large language models to effectively handle instructions with extremely long contexts has yet to be fully investigated.
LongAlign -- a recipe of the instruction data, training, and evaluation for long context alignment that outperforms existing recipes for LLMs in long ...