Muhan Zhang
- Papers
- 17
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Authored papers
17TransMLA: Multi-Head Latent Attention Is All You Need
arXiv 2025
Griffin: Towards a Graph-Centric Relational Database Foundation Model
arXiv 2025
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
arXiv 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
arXiv 2025
TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference
arXiv 2025
What Affects the Effective Depth of Large Language Models?
arXiv 2025
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning
arXiv 2024
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
arXiv 2024
Number Cookbook: Number Understanding of Language Models and How to Improve It
arXiv 2024
One for All: Towards Training One Graph Model for All Classification Tasks
arXiv 2023
LooGLE: Can Long-Context Language Models Understand Long Contexts?
arXiv 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
arXiv 2023
Neural Common Neighbor with Completion for Link Prediction
arXiv 2023
On the Stability of Expressive Positional Encodings for Graphs
arXiv 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
arXiv 2023
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners
arXiv 2023
Decoupling the Depth and Scope of Graph Neural Networks
decoupling-the-depth-and-scope-of-graph
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