Jason Wei
37 papers · 2019–2024 · 11 conferences · across top CS/AI conferences
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Academic Marathon
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Topic Evolution
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The Questioner
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Century Club
(37)
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Unstoppable
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Conferences
ACL (8)
ICLR (8)
EMNLP (6)
IJCNLP (5)
NAACL (3)
JMLR (2)
AAAI (1)
EACL (1)
ICML (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
large language model
(8)
text classification
(6)
language model
(6)
few-shot learning
(6)
data augmentation
(5)
reinforcement learning
(3)
context-aware evaluation
(2)
random deletion
(2)
language model scaling
(2)
curriculum learning
(2)
random swap
(2)
reference generation
(2)
natural language generation
(2)
emergent ability
(2)
multi-step reasoning
(2)
inductive bia
(2)
synonym replacement
(2)
evaluation metric
(2)
random insertion
(2)
question answering
(1)
Papers
Scaling Instruction-Finetuned Language Models
JMLR 2024
A Pretrainerβs Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
NAACL 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
ACL 2024
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
ICLR 2023
Language models are multilingual chain-of-thought reasoners
ICLR 2023
Inverse Scaling Can Become U-Shaped
EMNLP 2023
UL2: Unifying Language Learning Paradigms
ICLR 2023
Transcending Scaling Laws with 0.1% Extra Compute
EMNLP 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
ICML 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
NIPS 2022
A Recipe for Arbitrary Text Style Transfer with Large Language Models
ACL 2022
Finetuned Language Models are Zero-Shot Learners
ICLR 2022
The MultiBERTs: BERT Reproductions for Robustness Analysis
ICLR 2022
Mitigating Political Bias in Language Models through Reinforced Calibration
AAAI 2021
Frequency Effects on Syntactic Rule Learning in Transformers
EMNLP 2021
Linguistic Complexity Loss in Text-Based Therapy
NAACL 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
NAACL 2021
Good-Enough Example Extrapolation
EMNLP 2021
Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
WACV 2021
Text Augmentation in a Multi-Task View
EACL 2021
Modulating Language Models with Emotions
ACL 2021
A Survey of Data Augmentation Approaches for NLP
ACL 2021
Language Model Augmented Relevance Score
ACL 2021
A Cognitive Regularizer for Language Modeling
IJCNLP 2021
Language Model Augmented Relevance Score
IJCNLP 2021
A Survey of Data Augmentation Approaches for NLP
IJCNLP 2021
Modulating Language Models with Emotions
IJCNLP 2021
A Cognitive Regularizer for Language Modeling
ACL 2021
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
EMNLP 2020
What Are People Asking About COVID-19? A Question Classification Dataset
ACL 2020
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
EMNLP 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
IJCNLP 2019