Le Hou
19 papers · 2016–2024 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (9) π Academic Marathon (8) πΊοΈ Taxonomy Completionist (38)
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Keyword Pioneer
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Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π₯
Mega-Team
(35)
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Keyword Champion
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Topic Evolution
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Trend Setter
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Prolific Year
(6)
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Century Club
(19)
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The Questioner
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Keyword Collector
(73)
Conferences
EMNLP (5)
ICLR (5)
CVPR (3)
ACL (1)
AISTATS (1)
ICML (1)
JMLR (1)
MIDL (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
chain-of-thought prompting
(3)
convolutional neural network
(2)
domain generalization
(2)
few-shot learning
(2)
instruction tuning
(2)
language model
(2)
image classification
(2)
human pose estimation
(1)
image synthesis
(1)
prompt engineering
(1)
in-context learning
(1)
knowledge distillation
(1)
text style transfer
(1)
image segmentation
(1)
remote sensing
(1)
patch-based learning
(1)
medical imaging
(1)
computational efficiency
(1)
medical image analysis
(1)
Papers
Distilling Text Style Transfer With Self-Explanation From LLMs
NAACL 2024
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Improving Multi-Agent Debate with Sparse Communication Topology
EMNLP 2024
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
Scaling Instruction-Finetuned Language Models
JMLR 2024
Symbol tuning improves in-context learning in language models
EMNLP 2023
Few Shot Hematopoietic Cell Classification
MIDL 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
ICML 2023
Large Language Models Can Self-Improve
EMNLP 2023
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
ICLR 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 2023
Token Dropping for Efficient BERT Pretraining
ACL 2022
Robust Histopathology Image Analysis: To Label or to Synthesize?
CVPR 2019
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
CVPR 2019
Label super-resolution networks
ICLR 2019
ConvNets with Smooth Adaptive Activation Functions for Regression
AISTATS 2017
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification
CVPR 2016