alinlab / HOMERLinks
Official implementation of Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs (ICLR 2024).
☆43Updated last year
Alternatives and similar repositories for HOMER
Users that are interested in HOMER are comparing it to the libraries listed below
Sorting:
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆83Updated last year
- Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)☆63Updated last year
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆89Updated last year
- Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)☆70Updated last year
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆52Updated 4 months ago
- This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o…☆27Updated 5 months ago
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆39Updated last year
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆38Updated last year
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆33Updated last year
- Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting☆34Updated last year
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆52Updated last year
- PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"☆37Updated 2 years ago
- [Technical Report] Official PyTorch implementation code for realizing the technical part of Phantom of Latent representing equipped with …☆61Updated last year
- Directional Preference Alignment☆58Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆131Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆61Updated last year
- Large Language Models Can Self-Improve in Long-context Reasoning☆73Updated last year
- ☆23Updated 3 weeks ago
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆123Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆33Updated 2 years ago
- Model Stock: All we need is just a few fine-tuned models☆127Updated 4 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073☆31Updated last year
- official repo for the paper "Learning From Mistakes Makes LLM Better Reasoner"☆59Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- ☆20Updated last year
- [EMNLP 2024] Official implementation of "Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Ut…☆23Updated last year