Hongkun Yu
9 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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Prolific Year · Productive
Top co-authors
Research topics
Keywords
large language model
(3)
model compression
(3)
knowledge distillation
(2)
transfer learning
(1)
natural language inference
(1)
data augmentation
(1)
question answering
(1)
instruction tuning
(1)
reinforcement learning from human feedback
(1)
language model
(1)
reward model
(1)
parameter-efficient fine-tuning
(1)
mixture of expert
(1)
instruction fine-tuning
(1)
model scaling
(1)
pre-trained language model
(1)
parameter efficiency
(1)
process supervision
(1)
chain-of-thought prompting
(1)
reasoning ability
(1)
Papers
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Enabling Lanuguage Models to Implicitly Learn Self-Improvement
ICLR 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
EMNLP 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
ICLR 2023
Large Language Models Can Self-Improve
EMNLP 2023
On the Transformer Growth for Progressive BERT Training
NAACL 2021
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
ACL 2020