Pingzhi Li
11 papers · 2024–2025 · 6 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (28) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (11)
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Machine Learning
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Artificial Intelligence
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(3)
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Computer Science
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Keywords
large language model
(5)
model merging
(3)
mixture of expert
(3)
model compression
(2)
expert routing
(2)
knowledge distillation
(2)
transfer learning
(2)
data leakage
(1)
diffusion model
(1)
conditional generation
(1)
collaborative communication
(1)
zeroth-order optimization
(1)
multimodal large language model
(1)
parameter-efficient fine-tuning
(1)
parameter efficient
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sparse activation
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vision-language model
(1)
safety alignment
(1)
low-rank adaptation
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instruction tuning
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Papers
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
NAACL 2025
Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety
EMNLP 2025
Glider: Global and Local Instruction-Driven Expert Router
EMNLP 2025
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
ICML 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
EMNLP 2025
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
ICLR 2025
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025
Vision Language Model Helps Private Information De-Identification in Vision Data
ACL 2025
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
NeurIPS 2024
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
ICLR 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
ICML 2024