princeton-nlp / AutoCompressorsLinks
[EMNLP 2023] Adapting Language Models to Compress Long Contexts
☆326Updated last year
Alternatives and similar repositories for AutoCompressors
Users that are interested in AutoCompressors are comparing it to the libraries listed below
Sorting:
- DSIR large-scale data selection framework for language model training☆269Updated last year
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆194Updated last year
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆389Updated last year
- ☆273Updated 2 years ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆534Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆373Updated 2 years ago
- ☆313Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆370Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆484Updated last year
- ☆294Updated 2 years ago
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆230Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆361Updated 2 years ago
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆146Updated last month
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆110Updated 11 months ago
- Datasets for Instruction Tuning of Large Language Models☆260Updated 2 years ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆409Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆445Updated last year
- Data and Code for Program of Thoughts [TMLR 2023]☆303Updated last year
- Generative Judge for Evaluating Alignment☆249Updated 2 years ago
- ☆322Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆350Updated 2 years ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆200Updated last month
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆168Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆584Updated last year
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆260Updated last year
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆264Updated 6 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆129Updated last year
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆137Updated 8 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆512Updated last year
- LongEmbed: Extending Embedding Models for Long Context Retrieval (EMNLP 2024)☆145Updated last year