Pingzhi Li
11 papers · 2024–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Cross-Pollinator (7) πΊοΈ Taxonomy Completionist (23) π Interdisciplinary Bridge π§ Keyword Pioneer
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Renaissance Researcher
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Dynamic Duo
(11)
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Triple Crown
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Century Club
(11)
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Prolific Year
(8)
Conferences
EMNLP (3)
ACL (2)
ICLR (2)
ICML (2)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
model merging
(2)
expert routing
(2)
mixture of expert
(2)
conditional generation
(1)
instruction tuning
(1)
safety alignment
(1)
parameter efficient
(1)
diffusion model
(1)
vision language model
(1)
data leakage
(1)
low-rank adaptation
(1)
multi-modal large language model
(1)
multimodal large language model
(1)
model scaling
(1)
privacy protection
(1)
model clustering
(1)
model zoo
(1)
privacy risk
(1)
parameter generation
(1)
Papers
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
NAACL 2025
Vision Language Model Helps Private Information De-Identification in Vision Data
ACL 2025
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025
Glider: Global and Local Instruction-Driven Expert Router
EMNLP 2025
Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety
EMNLP 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
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
ICML 2025
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
ICML 2024
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
ICLR 2024
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
NIPS 2024