Haokun Liu
16 papers · 2018–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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The Namer
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Keyword Champion
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Keyword Pioneer
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Topic Evolution
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(83)
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(9)
Core AI
(9)
Learning Types Β· Machine Learning
(8)
Deep Learning
(6)
Natural Language Processing
(6)
Learning Types Β· Deep Learning
(4)
Learning Paradigms
(3)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Models
(2)
Resources & Methods
(2)
Understanding
(2)
Keywords
pre-trained language model
(3)
few-shot learning
(3)
large language model
(3)
natural language understanding
(2)
parameter-efficient fine-tuning
(2)
hypothesis generation
(2)
transfer learning
(1)
cross-lingual transfer
(1)
benchmark evaluation
(1)
in-context learning
(1)
natural language inference
(1)
item response theory
(1)
feature learning
(1)
language understanding
(1)
multi-armed bandit
(1)
self-supervised learning
(1)
strategic reasoning
(1)
inductive bia
(1)
pre-trained model
(1)
model pruning
(1)
Papers
Explore the Reasoning Capability of LLMs in the Chess Testbed
NAACL 2025
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
ACL 2025
Hypothesis Generation with Large Language Models
EMNLP 2024
Learning to Route Among Specialized Experts for Zero-Shot Generalization
ICML 2024
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
ICML 2023
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
NeurIPS 2022
Comparing Test Sets with Item Response Theory
ACL 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
EMNLP 2021
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
EMNLP 2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
AACL 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
ACL 2020
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
ACL 2020
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
EMNLP 2020
Precise Task Formalization Matters in Winograd Schema Evaluations
EMNLP 2020
Investigating BERTβs Knowledge of Language: Five Analysis Methods with NPIs
EMNLP 2019
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation
COLING 2018