cliang1453 / task-aware-distillationLinks
Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
☆40Updated 2 years ago
Alternatives and similar repositories for task-aware-distillation
Users that are interested in task-aware-distillation are comparing it to the libraries listed below
Sorting:
- A Sober Look at Language Model Reasoning☆92Updated 2 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆84Updated last year
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated 2 years ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆47Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆50Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆33Updated 2 years ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆154Updated 7 months ago
- ☆43Updated 2 years 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
- Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)☆20Updated last year
- Test-time-training on nearest neighbors for large language models☆49Updated last year
- Codes for Merging Large Language Models☆35Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆50Updated last year
- ☆29Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 9 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆99Updated last year
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning☆36Updated last year
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆27Updated last year
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆143Updated 10 months ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated 2 years ago
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Updated last year
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆52Updated last year
- A block pruning framework for LLMs.☆27Updated 8 months ago
- Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…☆61Updated 5 months ago
- [NeurIPS 2025 Spotlight] A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone.☆45Updated 3 months ago
- Residual Prompt Tuning: a method for faster and better prompt tuning.☆57Updated 2 years ago
- ☆30Updated 2 years ago
- [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning☆20Updated 4 months ago