Haokun Liu
18 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (7)
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Interdisciplinary Bridge
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
The Namer
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
π
Keyword Champion
π
Conference Pioneer
β‘
Prolific Year
(6)
π
Trend Setter
ποΈ
Keyword Collector
(89)
β
The Questioner
π
Century Club
(18)
π₯
Unstoppable
(8)
Conferences
EMNLP (6)
ACL (4)
ICML (2)
IJCNLP (2)
AACL (1)
COLING (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
pretrained language model
(4)
natural language understanding
(3)
large language model
(3)
few-shot learning
(3)
language understanding
(2)
item response theory
(2)
negative polarity item
(2)
hypothesis generation
(2)
dataset evaluation
(2)
grammatical knowledge
(2)
sentence representation
(2)
language model evaluation
(1)
decision making
(1)
syntactic analysis
(1)
model evaluation
(1)
transfer learning
(1)
benchmark evaluation
(1)
cross-lingual transfer
(1)
probing analysis
(1)
in-context learning
(1)
Papers
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
ACL 2025
Explore the Reasoning Capability of LLMs in the Chess Testbed
NAACL 2025
Learning to Route Among Specialized Experts for Zero-Shot Generalization
ICML 2024
Hypothesis Generation with Large Language Models
EMNLP 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
NIPS 2022
Comparing Test Sets with Item Response Theory
ACL 2021
Comparing Test Sets with Item Response Theory
IJCNLP 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
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
ACL 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
ACL 2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
AACL 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
IJCNLP 2019
Investigating BERTβs Knowledge of Language: Five Analysis Methods with NPIs
EMNLP 2019
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation
COLING 2018