Jason Wei

According to our database1, Jason Wei authored at least 57 papers between 1996 and 2023.

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Bibliography

2023
Investor Attention and Option Returns.
Manag. Sci., August, 2023

PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res., 2023

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.
CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.
CoRR, 2023

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.
CoRR, 2023

Foundation Models for Decision Making: Problems, Methods, and Opportunities.
CoRR, 2023

Larger language models do in-context learning differently.
CoRR, 2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.
Proceedings of the International Conference on Machine Learning, 2023

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

UL2: Unifying Language Learning Paradigms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Language models are multilingual chain-of-thought reasoners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mind's Eye: Grounded Language Model Reasoning through Simulation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Consistency Improves Chain of Thought Reasoning in Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Inverse Scaling Can Become U-Shaped.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Transcending Scaling Laws with 0.1% Extra Compute.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Emergent Abilities of Large Language Models.
Trans. Mach. Learn. Res., 2022

Large Language Models Encode Clinical Knowledge.
CoRR, 2022

Inverse scaling can become U-shaped.
CoRR, 2022

Scaling Instruction-Finetuned Language Models.
CoRR, 2022

Rationale-Augmented Ensembles in Language Models.
CoRR, 2022

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
CoRR, 2022

Self-Consistency Improves Chain of Thought Reasoning in Language Models.
CoRR, 2022

Chain of Thought Prompting Elicits Reasoning in Large Language Models.
CoRR, 2022

Quantifying and alleviating political bias in language models.
Artif. Intell., 2022

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Finetuned Language Models are Zero-Shot Learners.
Proceedings of the Tenth International Conference on Learning Representations, 2022

The MultiBERTs: BERT Reproductions for Robustness Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Calibrating Histopathology Image Classifiers Using Label Smoothing.
Proceedings of the Artificial Intelligence in Medicine, 2022

A Recipe for Arbitrary Text Style Transfer with Large Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Linguistic Complexity Loss in Text-Based Therapy.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Frequency Effects on Syntactic Rule Learning in Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Good-Enough Example Extrapolation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Text Augmentation in a Multi-Task View.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

A Petri Dish for Histopathology Image Analysis.
Proceedings of the Artificial Intelligence in Medicine, 2021

A Cognitive Regularizer for Language Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Language Model Augmented Relevance Score.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Modulating Language Models with Emotions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Survey of Data Augmentation Approaches for NLP.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Mitigating Political Bias in Language Models through Reinforced Calibration.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
What Are People Asking About COVID-19? A Question Classification Dataset.
CoRR, 2020

Narrative Origin Classification of Israeli-Palestinian Conflict Texts.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Difficulty Translation in Histopathology Images.
Proceedings of the Artificial Intelligence in Medicine, 2020

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images.
Proceedings of the Machine Learning for Health Workshop, 2019

2018
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images.
CoRR, 2018

2015
A 25 GHz Fast-Lock Digital LC PLL With Multiphase Output Using a Magnetically-Coupled Loop of Oscillators.
IEEE J. Solid State Circuits, 2015

2014
A Fast-Lock, Jitter Filtering All-Digital DLL Based Burst-Mode Memory Interface.
IEEE J. Solid State Circuits, 2014

2012
A Tri-Modal 20-Gbps/Link Differential/DDR3/GDDR5 Memory Interface.
IEEE J. Solid State Circuits, 2012

A 12.8-Gb/s/link Tri-Modal Single-Ended Memory Interface.
IEEE J. Solid State Circuits, 2012

2005
Autonomous dual-mode (PAM2/4) serial link transceiver with adaptive equalization and data recovery.
IEEE J. Solid State Circuits, 2005

2003
Equalization and clock recovery for a 2.5-10-Gb/s 2-PAM/4-PAM backplane transceiver cell.
IEEE J. Solid State Circuits, 2003

A 0.4-4-Gb/s CMOS quad transceiver cell using on-chip regulated dual-loop PLLs.
IEEE J. Solid State Circuits, 2003

1998
A 2.6-GByte/s multipurpose chip-to-chip interface.
IEEE J. Solid State Circuits, 1998

1996
A 660 MB/s interface megacell portable circuit in 0.3 μm-0.7 μm CMOS ASIC.
IEEE J. Solid State Circuits, 1996


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