princeton-nlp / AutoCompressors
[EMNLP 2023] Adapting Language Models to Compress Long Contexts
☆278Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for AutoCompressors
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆285Updated last month
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆430Updated 7 months ago
- DSIR large-scale data selection framework for language model training☆231Updated 7 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆440Updated 8 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆307Updated 7 months ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆167Updated last month
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆318Updated 10 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆500Updated 6 months ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆199Updated 6 months ago
- ☆265Updated 11 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆384Updated 6 months ago
- RewardBench: the first evaluation tool for reward models.☆437Updated last month
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆93Updated 2 weeks ago
- A Survey on Data Selection for Language Models☆183Updated last month
- ☆247Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆214Updated last year
- Generative Judge for Evaluating Alignment☆218Updated 10 months ago
- ☆296Updated 5 months ago
- Benchmarking LLMs with Challenging Tasks from Real Users☆198Updated 3 weeks ago
- The repo for In-context Autoencoder☆90Updated 6 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆306Updated 10 months ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆358Updated last month
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆359Updated 4 months ago
- All available datasets for Instruction Tuning of Large Language Models☆237Updated 11 months ago
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆160Updated 3 months ago
- Data and Code for Program of Thoughts (TMLR 2023)☆243Updated 6 months ago
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆156Updated 7 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆240Updated last year
- ☆222Updated 3 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆315Updated 10 months ago