必读基于LLM的长上下文建模的论文和博客🔥
length-extrapolation 开源项目推荐(13 个)
length-extrapolation 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 13
GitHub 共 13 个仓库,已全部展示Methods and code for extending the context length of diffusion language models
An imaginary extension of rotary position embeddings for long-context language models
Context-aware Biases for Length Extrapolation
A training-free method for extending the maximum context length of language models
该项目在 GitHub 上没有填写描述
Subquadratic sparse attention that zero-shot length extrapolation to 256k+ tokens, with fast CUDA kernels. arXiv:2610.17191
Controlled experiments on recurrent-depth (looped) transformers — length extrapolation, adaptive test-time compute, and honest sub-1B negatives.
A modular, config-driven PyTorch framework for conducting empirical positional encoding ablation experiments on decoder-only transformers (~51M parameters) using Google Colab T4 GPUs
Selective Attention trained like Dilution-Attention: no position signal, 209M parameters, 16K context, with a fused Triton kernel.
Likelihood-based Needle-In-A-Haystack eval for small and from-scratch language models: multiple-choice scoring with a control prior (no generation needed), a hard mode with natural filler and keyed distractors, depth × length heatmaps, during-training eval and an LM Evaluation Harness task.
A constant-memory recurrent stream coupled to a growing .causal knowledge index, with a measured capacity threshold in the gated readout. Builds on GSSM.
The O(1)-state organism: constant-memory unbounded streaming, surprise-gated plasticity, holographic memory through silence, dosed sleep, a runtime knowledge index — and live cross-architecture migration. Seven disclosed foundations, 38 pre-registered predictions, falsifications kept.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 13 个项目;原始页面见 https://github.com/topics/length-extrapolation。
- 该话题在 GitHub 上共有 13 个仓库, 本站收录的是其中最热门的 13 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 13 个项目累计 2327 Star,覆盖 1 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。