VITA-Group / Junk_DNA_HypothesisLinks
[ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, Souvik Kundu, Zhangyang Wang
☆16Updated 4 months ago
Alternatives and similar repositories for Junk_DNA_Hypothesis
Users that are interested in Junk_DNA_Hypothesis are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆54Updated 2 years ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆35Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆176Updated last year
- ☆15Updated last year
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆56Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆54Updated 6 months ago
- ☆30Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆116Updated 4 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated 10 months ago
- ☆20Updated 9 months ago
- ☆59Updated last year
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆18Updated last year
- A Sober Look at Language Model Reasoning☆81Updated 2 months ago
- Test-time-training on nearest neighbors for large language models☆45Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆95Updated last month
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆23Updated last year
- Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)☆36Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆49Updated last year
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆116Updated last month
- ☆17Updated 4 months ago
- ☆48Updated last month
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated last year
- ☆38Updated last year
- ☆35Updated last year
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆32Updated 9 months ago
- ThinK: Thinner Key Cache by Query-Driven Pruning☆23Updated 6 months ago
- ☆73Updated 3 years ago
- Long Context Extension and Generalization in LLMs☆58Updated 11 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- [ICML‘2024] "LoCoCo: Dropping In Convolutions for Long Context Compression", Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen☆17Updated 11 months ago