Taylor Berg-Kirkpatrick

Taylor Berg-Kirkpatrick

University of California, San Diego

H-index: 37

North America-United States

About Taylor Berg-Kirkpatrick

Taylor Berg-Kirkpatrick, With an exceptional h-index of 37 and a recent h-index of 35 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Natural Language Processing.

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

MusicLDM: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies

Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

DITTO: Diffusion Inference-Time T-Optimization for Music Generation

Membership inference attacks against language models via neighbourhood comparison

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction

Unsupervised Lead Sheet Generation via Semantic Compression

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation

Taylor Berg-Kirkpatrick Information

University

Position

___

Citations(all)

6364

Citations(since 2020)

5016

Cited By

2766

hIndex(all)

37

hIndex(since 2020)

35

i10Index(all)

71

i10Index(since 2020)

69

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Taylor Berg-Kirkpatrick Skills & Research Interests

Natural Language Processing

Top articles of Taylor Berg-Kirkpatrick

Title

Journal

Author(s)

Publication Date

MusicLDM: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies

(ICASSP 2024) IEEE International Conference on Acoustics, Speech and Signal Processing

Ke Chen

Yusong Wu

Haohe Liu

Marianna Nezhurina

Taylor Berg-Kirkpatrick

...

2024/4/14

Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors

Niloofar Mireshghallah

Justus Mattern

Sicun Gao

Reza Shokri

Taylor Berg-Kirkpatrick

2024/3

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

arXiv preprint arXiv:2402.11711

Yasaman Jafari

Dheeraj Mekala

Rose Yu

Taylor Berg-Kirkpatrick

2024/2/18

DITTO: Diffusion Inference-Time T-Optimization for Music Generation

arXiv preprint arXiv:2401.12179

Zachary Novack

Julian McAuley

Taylor Berg-Kirkpatrick

Nicholas J Bryan

2024/1/22

Membership inference attacks against language models via neighbourhood comparison

arXiv preprint arXiv:2305.18462

Justus Mattern

Fatemehsadat Mireshghallah

Zhijing Jin

Bernhard Schölkopf

Mrinmaya Sachan

...

2023/5/29

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction

(ISMIR 2023) the 24th International Society for Music Information Retrieval Conference

Keren Shao

Ke Chen

Taylor Berg-Kirkpatrick

Shlomo Dubnov

2023/8/4

Unsupervised Lead Sheet Generation via Semantic Compression

arXiv preprint arXiv:2310.10772

Zachary Novack

Nikita Srivatsan

Taylor Berg-Kirkpatrick

Julian McAuley

2023/10/16

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation

arXiv preprint arXiv:2312.04510

Jarad Forristal

Niloofar Mireshghallah

Greg Durrett

Taylor Berg-Kirkpatrick

2023/12/7

Climabench: A benchmark dataset for climate change text understanding in english

arXiv e-prints

Tanmay Laud

Daniel Spokoyny

Tom Corringham

Taylor Berg-Kirkpatrick

2023/1

Text Conditional Alt-Text Generation for Twitter Images

arXiv preprint arXiv:2305.14779

Nikita Srivatsan

Sofia Samaniego

Omar Florez

Taylor Berg-Kirkpatrick

2023/5/24

Contrastive attention networks for attribution of early modern print

Proceedings of the AAAI Conference on Artificial Intelligence, 37(4), 5285-5293. https://doi.org/10.1609/aaai.v37i4.25659

Nikolai Vogler

Kartik Goyal

Kishore PV Reddy

Elizaveta Pertseva

Samuel V Lemley

...

2023/6/12

Alt-Text with Context: Improving Accessibility for Images on Twitter

Nikita Srivatsan

Sofia Samaniego

Omar Florez

Taylor Berg-Kirkpatrick

2023/10/13

CuneiML: A Cuneiform Dataset for Machine Learning

Danlu Chen

Aditi Agarwal

Taylor Berg-Kirkpatrick

Jacobo Myerston

2023/12/6

Smaller language models are better black-box machine-generated text detectors

Fatemehsadat Mireshghallah

Justus Mattern

Sicun Gao

Reza Shokri

Taylor Berg-Kirkpatrick

2024

Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation

Ke Chen*

Yusong Wu*

Tianyu Zhang

Yuchen Hui

Taylor Berg-Kirkpatrick

...

2023/6/4

Exploring the relationship between model architecture and in-context learning ability

arXiv preprint arXiv:2310.08049

Ivan Lee

Nan Jiang

Taylor Berg-Kirkpatrick

2023/10/12

Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN

Niloofar Mireshghallah

Nikolai Vogler

Junxian He

Omar Florez

Ahmed El-Kishky

...

2023/12

Universal source separation with weakly labelled data

arXiv preprint arXiv:2305.07447

Qiuqiang Kong

Ke Chen

Haohe Liu

Xingjian Du

Taylor Berg-Kirkpatrick

...

2023/5/11

Multitrack music transformer

Hao-Wen Dong

Ke Chen

Shlomo Dubnov

Julian McAuley

Taylor Berg-Kirkpatrick

2023/6/4

Misusing Tools in Large Language Models With Visual Adversarial Examples

arXiv preprint arXiv:2310.03185

Xiaohan Fu

Zihan Wang

Shuheng Li

Rajesh K Gupta

Niloofar Mireshghallah

...

2023/10/4

See List of Professors in Taylor Berg-Kirkpatrick University(University of California, San Diego)