Jason Wei
32 papers · 2019–2024 · 10 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(19)
Natural Language Processing
(18)
Machine Learning
(16)
Core AI
(16)
Deep Learning
(13)
Resources & Methods
(9)
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Generation
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Keywords
large language model
(10)
few-shot learning
(8)
language model
(7)
text classification
(5)
chain-of-thought prompting
(4)
data augmentation
(4)
zero-shot learning
(3)
instruction tuning
(3)
emergent ability
(2)
multi-step reasoning
(2)
curriculum learning
(2)
pre-trained language model
(2)
inductive bia
(2)
language model scaling
(2)
reinforcement learning
(2)
chain-of-thought reasoning
(2)
commonsense reasoning
(2)
mathematical reasoning
(1)
model robustness
(1)
metric learning
(1)
Papers
A Pretrainerβs Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
NAACL 2024
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
ACL 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Inverse Scaling Can Become U-Shaped
EMNLP 2023
Language models are multilingual chain-of-thought reasoners
ICLR 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
ICLR 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
ICML 2023
Transcending Scaling Laws with 0.1% Extra Compute
EMNLP 2023
UL2: Unifying Language Learning Paradigms
ICLR 2023
A Recipe for Arbitrary Text Style Transfer with Large Language Models
ACL 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
NeurIPS 2022
Finetuned Language Models are Zero-Shot Learners
ICLR 2022
The MultiBERTs: BERT Reproductions for Robustness Analysis
ICLR 2022
A Cognitive Regularizer for Language Modeling
ACL 2021
A Survey of Data Augmentation Approaches for NLP
ACL 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
NAACL 2021
Frequency Effects on Syntactic Rule Learning in Transformers
EMNLP 2021
Good-Enough Example Extrapolation
EMNLP 2021
Language Model Augmented Relevance Score
ACL 2021
Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
WACV 2021
Linguistic Complexity Loss in Text-Based Therapy
NAACL 2021
Mitigating Political Bias in Language Models through Reinforced Calibration
AAAI 2021
Modulating Language Models with Emotions
ACL 2021
Text Augmentation in a Multi-Task View
EACL 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