Hongkun Yu
9 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π₯
Mega-Team
(35)
β‘
Prolific Year
(5)
Conferences
EMNLP (3)
ICLR (3)
ACL (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
model compression
(2)
few-shot learning
(1)
network architecture
(1)
transfer learning
(1)
knowledge distillation
(1)
natural language inference
(1)
question answering
(1)
language model
(1)
model scaling
(1)
process supervision
(1)
chain-of-thought prompting
(1)
reasoning ability
(1)
mobile deployment
(1)
parameter-efficient finetuning
(1)
pretrained language model
(1)
unlabeled datum
(1)
inference time
(1)
multi-task training
(1)
multi-step reasoning
(1)
compound scaling
(1)
Papers
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
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
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Large Language Models Can Self-Improve
EMNLP 2023
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
ICLR 2023
On the Transformer Growth for Progressive BERT Training
NAACL 2021
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
ACL 2020