princeton-nlp / AutoCompressorsLinks
[EMNLP 2023] Adapting Language Models to Compress Long Contexts
☆314Updated last year
Alternatives and similar repositories for AutoCompressors
Users that are interested in AutoCompressors are comparing it to the libraries listed below
Sorting:
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆360Updated last year
- DSIR large-scale data selection framework for language model training☆261Updated last year
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆389Updated last year
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆185Updated last year
- ☆271Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆352Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆477Updated last year
- Datasets for Instruction Tuning of Large Language Models☆257Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆341Updated last year
- ☆291Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆520Updated 9 months ago
- Generative Judge for Evaluating Alignment☆247Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆401Updated last year
- Data and Code for Program of Thoughts [TMLR 2023]☆287Updated last year
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆108Updated 8 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆352Updated last year
- ☆312Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆440Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆164Updated last year
- The repo for In-context Autoencoder☆145Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆548Updated last year
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆296Updated 8 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆279Updated 2 years ago
- Benchmarking LLMs with Challenging Tasks from Real Users☆242Updated 11 months ago
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆138Updated 11 months ago
- The HELMET Benchmark☆177Updated 2 months ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆204Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆571Updated 10 months ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆246Updated last year
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆130Updated last year