CASE Lab@UMD
- 20 followers
- United States of America
- https://www.ang-li.com/lab/
- angliece@umd.edu
Popular repositories Loading
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Unified-MoE-Compression
Unified-MoE-Compression PublicThe official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
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Router-Tuning-Mixture-of-Depths
Router-Tuning-Mixture-of-Depths PublicThe open-source Mixture of Depths code and the official implementation of the paper "Router-Tuning: A Simple and Effective Approach for Enabling Dynamic Depth in Transformers. (EMNLP 2025)"
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Capacity-Aware-MoE
Capacity-Aware-MoE PublicThe official implementation of the paper "Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts" (ICLR 2026).
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Pruning-on-Representations
Pruning-on-Representations PublicThe official implementation of the paper "Demystifying When Pruning Works via Representation Hierarchies" (ICML 2026).
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Repositories
- Router-Tuning-Mixture-of-Depths Public
The open-source Mixture of Depths code and the official implementation of the paper "Router-Tuning: A Simple and Effective Approach for Enabling Dynamic Depth in Transformers. (EMNLP 2025)"
- Pruning-on-Representations Public
The official implementation of the paper "Demystifying When Pruning Works via Representation Hierarchies" (ICML 2026).
- Capacity-Aware-MoE Public
The official implementation of the paper "Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts" (ICLR 2026).
- LLM-Drop Public
The official implementation of the paper "Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping (TMLR)".
- ROCKET-VLA Public
- LLM-Auditing-CoIn Public
- Unified-MoE-Compression Public
The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
- counterfactual_fairness_2025 Public
- SHED-Shapley-Based-Automated-Dataset-Refinement Public Forked from Lucidreamer9/SHED-Shapley-Based-Automated-Dataset-Refinement
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