Zhuocheng Gong
8 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(23)
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Hot Topic Early Bird
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The Questioner
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Research topics
Deep Learning
(7)
Machine Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Application Areas
(5)
Optimization & Theory
(4)
Natural Language Processing
(3)
Learning Types · Deep Learning
(3)
Architectures
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Resources & Methods
(2)
Techniques
(2)
Data Science & Analytics
(1)
Applications
(1)
Keywords
large language model
(4)
model compression
(3)
pre-trained language model
(2)
model quantization
(2)
preference modeling
(2)
lottery ticket hypothesis
(1)
perturbation analysis
(1)
representation learning
(1)
network pruning
(1)
in-context learning
(1)
neural network pruning
(1)
attention mechanism
(1)
parameter-efficient fine-tuning
(1)
token prediction
(1)
parameter efficiency
(1)
robustness
(1)
weight quantization
(1)
inference acceleration
(1)
causal attention
(1)
post-training quantization
(1)
Papers
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
ICML 2025
Graph-Structured Speculative Decoding
ACL 2024
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules
EMNLP 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
AAAI 2024
Your Career Path Matters in Person-Job Fit
AAAI 2024
Improving Input-label Mapping with Demonstration Replay for In-context Learning
EMNLP 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ACL 2023
Finding the Dominant Winning Ticket in Pre-Trained Language Models
ACL 2022