Nikolaos Pappas

Nikolaos Pappas

University of Washington

H-index: 19

North America-United States

About Nikolaos Pappas

Nikolaos Pappas, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Natural Language Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Eliciting Better Multilingual Structured Reasoning from LLMs through Code

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

DeAL: Decoding-time Alignment for Large Language Models

Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens

Conversation style transfer using few-shot learning

Backward compatibility during data updates by weight interpolation

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing

Pre-training Intent-Aware Encoders for Zero-and Few-Shot Intent Classification

Nikolaos Pappas Information

University

Position

___

Citations(all)

2789

Citations(since 2020)

2403

Cited By

866

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

33

i10Index(since 2020)

22

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Nikolaos Pappas Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Nikolaos Pappas

Title

Journal

Author(s)

Publication Date

Eliciting Better Multilingual Structured Reasoning from LLMs through Code

arXiv preprint arXiv:2403.02567

Bryan Li

Tamer Alkhouli

Daniele Bonadiman

Nikolaos Pappas

Saab Mansour

2024/3/5

MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

Hossein Aboutalebi

Hwanjun Song

Yusheng Xie

Arshit Gupta

Justin Sun

...

2024/3/5

DeAL: Decoding-time Alignment for Large Language Models

arXiv preprint arXiv:2402.06147

James Y Huang

Sailik Sengupta

Daniele Bonadiman

Yi-an Lai

Arshit Gupta

...

2024/2/5

Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens

Advances in Neural Information Processing Systems

Zhanpeng Zeng

Cole Hawkins

Mingyi Hong

Aston Zhang

Nikolaos Pappas

...

2024/2/13

Conversation style transfer using few-shot learning

IJCNLP-AACL 2023

Shamik Roy

Raphael Shu

Nikolaos Pappas

Elman Mansimov

Yi Zhang

...

2023/2/16

Backward compatibility during data updates by weight interpolation

EACL 2024

Raphael Schumann

Elman Mansimov

Yi-An Lai

Nikolaos Pappas

Xibin Gao

...

2023/1/25

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing

arXiv preprint arXiv:2305.15338

Shufan Wang

Sébastien Jean

Sailik Sengupta

James Gung

Nikolaos Pappas

...

2023/5/24

Pre-training Intent-Aware Encoders for Zero-and Few-Shot Intent Classification

Mujeen Sung

James Gung

Elman Mansimov

Nikolaos Pappas

Raphael Shu

...

2023/5/24

ABC: Attention with bounded-memory control

Hao Peng

Jungo Kasai

Nikolaos Pappas

Dani Yogatama

Zhaofeng Wu

...

2022

Dialog2api: Task-oriented dialogue with api description and example programs

arXiv preprint arXiv:2212.09946

Raphael Shu

Elman Mansimov

Tamer Alkhouli

Nikolaos Pappas

Salvatore Romeo

...

2022/12/20

Modeling Context With Linear Attention for Scalable Document-Level Translation

Zhaofeng Wu

Hao Peng

Nikolaos Pappas

Noah A Smith

2022/10/16

Sentence bottleneck autoencoders from transformer language models

arXiv preprint arXiv:2109.00055

Ivan Montero

Nikolaos Pappas

Noah A Smith

2021/8/31

Finetuning pretrained transformers into RNNs

arXiv preprint arXiv:2103.13076

Jungo Kasai

Hao Peng

Yizhe Zhang

Dani Yogatama

Gabriel Ilharco

...

2021/3/24

Random feature attention

Hao Peng

Nikolaos Pappas

Dani Yogatama

Roy Schwartz

Noah A Smith

...

2021/3/3

Deep encoder, shallow decoder: Reevaluating non-autoregressive machine translation

arXiv preprint arXiv:2006.10369

Jungo Kasai

Nikolaos Pappas

Hao Peng

James Cross

Noah A Smith

2021

Plug and play autoencoders for conditional text generation

arXiv preprint arXiv:2010.02983

Florian Mai

Nikolaos Pappas

Ivan Montero

Noah A Smith

James Henderson

2020/10/6

Multilevel text alignment with cross-document attention

Xuhui Zhou

Nikolaos Pappas

Noah A Smith

2020/10/3

Grounded compositional outputs for adaptive language modeling

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Nikolaos Pappas

Phoebe Mulcaire

Noah A Smith

2020/9/24

Transformers are RNNs: Fast autoregressive transformers with linear attention

Thirty-seventh International Conference on Machine Learning (ICML)

Angelos Katharopoulos

Apoorv Vyas

Nikolaos Pappas

François Fleuret

2020/6/29

See List of Professors in Nikolaos Pappas University(University of Washington)

Co-Authors

H-index: 134
Shih-Fu Chang

Shih-Fu Chang

Columbia University in the City of New York

H-index: 104
Noah A. Smith

Noah A. Smith

University of Washington

H-index: 52
Efstathios Stamatatos

Efstathios Stamatatos

University of the Aegean

H-index: 26
Roy Schwartz

Roy Schwartz

Hebrew University of Jerusalem

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