Sebastian Jaszczur
5 papers · 2021–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🐣
Hot Topic Early Bird
Venues
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Research topics
Keywords
mixture of expert
(3)
scaling law
(2)
language modeling
(1)
efficient inference
(1)
context window
(1)
sparse attention
(1)
dense model
(1)
long context
(1)
memory constraint
(1)
context utilization
(1)
parameter scaling
(1)
model size
(1)
large language model
(1)
sparse layer
(1)
training token
(1)
continuous moe
(1)
cross-example aggregation
(1)
active parameters
(1)
empirical validation
(1)
efficiency gap
(1)
Papers
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
ICML 2025
Structured Packing in LLM Training Improves Long Context Utilization
AAAI 2025
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
NeurIPS 2024
Scaling Laws for Fine-Grained Mixture of Experts
ICML 2024
Sparse is Enough in Scaling Transformers
NeurIPS 2021