Strivin0311 / long-llms-learningLinks
A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
☆263Updated 10 months ago
Alternatives and similar repositories for long-llms-learning
Users that are interested in long-llms-learning are comparing it to the libraries listed below
Sorting:
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆411Updated 8 months ago
- InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning☆261Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆336Updated 9 months ago
- train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism☆221Updated last year
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆264Updated 9 months ago
- ☆319Updated 11 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆332Updated last year
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆244Updated 7 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆250Updated 6 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆463Updated last year
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆379Updated 11 months ago
- ☆288Updated 11 months ago
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆154Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆556Updated 6 months ago
- The related works and background techniques about Openai o1☆222Updated 5 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆456Updated 8 months ago
- LongBench v2 and LongBench (ACL 25'&24')☆908Updated 5 months ago
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆373Updated 9 months ago
- Collaborative Training of Large Language Models in an Efficient Way☆415Updated 9 months ago
- Finetuning LLaMA with RLHF (Reinforcement Learning with Human Feedback) based on DeepSpeed Chat☆114Updated 2 years ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆185Updated 8 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆251Updated 3 weeks ago
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆967Updated 6 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆617Updated last year
- ☆331Updated 2 weeks ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆158Updated 9 months ago
- ☆264Updated last year
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆204Updated 6 months ago
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆179Updated 6 months ago