Jason Cong
7 papers · 2023–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (21) π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
β‘
Prolific Year
(6)
Conferences
AAAI (2)
ACL (1)
CONLL (1)
ICLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
high-level synthesis
(2)
hardware design
(2)
data selection
(2)
efficient inference
(1)
neural network optimization
(1)
efficient computing
(1)
token efficiency
(1)
spaced repetition
(1)
language model
(1)
mixture of expert
(1)
inference optimization
(1)
downstream performance
(1)
hierarchical memory
(1)
speculative decoding
(1)
beam search
(1)
language model inference
(1)
efficient learning
(1)
knowledge retention
(1)
language model pretraining
(1)
Papers
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
ACL 2025
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
AAAI 2025
Dynamic-Width Speculative Beam Decoding for LLM Inference
AAAI 2025
HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing
NAACL 2025
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
CONLL 2025
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference
ICLR 2025
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs
NIPS 2023