InfLLM
The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory"
About
The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory" pdf.
Open Source Health
- Stars
- 408
- Forks
- 40
- License
- MIT
- Last commit
- 2 years ago
Resources & Links
Related Categories
Vendor
THUNLP
Natural Language Processing Lab at Tsinghua University
Quick Links
Open Source
More by THUNLP
Related Products
TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
More from this vendor
The Algorithm
Source code for the X Recommendation Algorithm
Shared categories
Recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Shared categories
RPG_KDD2025
This repository provides the code for implementing RPG described in our KDD'25 paper "Generating Long Semantic IDs in Parallel for Recommendation".
Shared categories
Pairec
A Go web framework for quickly building recommendation online services based on JSON configuration.
Shared categories