Taylor Berg-Kirkpatrick

Orcid: 0000-0002-1283-4075

According to our database1, Taylor Berg-Kirkpatrick authored at least 136 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation.
CoRR, 2024

ClimaQA: An Automated Evaluation Framework for Climate Foundation Models.
CoRR, 2024

Imprompter: Tricking LLM Agents into Improper Tool Use.
CoRR, 2024

TeaserGen: Generating Teasers for Long Documentaries.
CoRR, 2024

Presto! Distilling Steps and Layers for Accelerating Music Generation.
CoRR, 2024

Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset.
CoRR, 2024

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.
CoRR, 2024

Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation.
CoRR, 2024

Grammar-Aligned Decoding.
CoRR, 2024

DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation.
CoRR, 2024

HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis.
CoRR, 2024

MAWI Rec: Leveraging Severe Weather Data in Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Retrieval Guided Music Captioning via Multimodal Prefixes.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DITTO: Diffusion Inference-Time T-Optimization for Music Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Alt-Text with Context: Improving Accessibility for Images on Twitter.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Clustering Running Titles to Understand the Printing of Early Modern Books.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for Recognition Models of Arabic-Script Handwriting.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 Workshops, 2024

MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies.
Proceedings of the IEEE International Conference on Acoustics, 2024

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
URL-BERT: Training Webpage Representations via Social Media Engagements.
CoRR, 2023

Unsupervised Lead Sheet Generation via Semantic Compression.
CoRR, 2023

Exploring the Relationship Between Model Architecture and In-Context Learning Ability.
CoRR, 2023

Misusing Tools in Large Language Models With Visual Adversarial Examples.
CoRR, 2023

Text Conditional Alt-Text Generation for Twitter Images.
CoRR, 2023

Smaller Language Models are Better Black-box Machine-Generated Text Detectors.
CoRR, 2023

Universal Source Separation with Weakly Labelled Data.
CoRR, 2023

ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English.
CoRR, 2023

Jointly modeling products and resource pages for task-oriented recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multitrack Music Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2023

Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Membership Inference Attacks against Language Models via Neighbourhood Comparison.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Attention Networks for Attribution of Early Modern Print.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Non-Parametric Temporal Adaptation for Social Media Topic Classification.
CoRR, 2022

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments.
CoRR, 2022

Memorization in NLP Fine-tuning Methods.
CoRR, 2022

Mix and Match: Learning-free Controllable Text Generation using Energy Language Models.
CoRR, 2022

An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization.
CoRR, 2022

Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Checklist Models for Improved Output Fluency in Piano Fingering Prediction.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Towards a Unified View of Parameter-Efficient Transfer Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Performer: Score-to-Audio Music Performance Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2022

Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music.
Proceedings of the IEEE International Conference on Acoustics, 2022

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Prompt Consistency for Zero-Shot Task Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Paraphrastic Representations at Scale.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HeLo: Learning-Free Lookahead Decoding for Conversation Infilling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Bach Violin Dataset.
Dataset, October, 2021

Truth-Conditional Captioning of Time Series Data.
CoRR, 2021

Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction.
CoRR, 2021

An Empirical Study of Extrapolation in Text Generation with Scalar Control.
CoRR, 2021

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models.
CoRR, 2021

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Neural Representation Learning for Scribal Hands of Linear B.
Proceedings of the Document Analysis and Recognition, 2021

Scalable Font Reconstruction with Dual Latent Manifolds.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Investigating Robustness of Dialog Models to Popular Figurative Language Constructs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Truth-Conditional Captions for Time Series Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Efficient Nearest Neighbor Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods.
CoRR, 2020

Learning Sparse Prototypes for Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MusPy: A Toolkit for Symbolic Music Generation.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

A Probabilistic Formulation of Unsupervised Text Style Transfer.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Bilingual Generative Transformer for Semantic Sentence Embedding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Narrative Text Generation with a Latent Discrete Plan.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Empirical Investigation of Contextualized Number Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Domain Adaptation via Context Prediction for Engineering Diagram Search.
Proceedings of the Advances in Information Retrieval, 2020

Phonetic and Visual Priors for Decipherment of Informal Romanization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Deep Factorization of Style and Structure in Fonts.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Rhyming Constraints using Structured Adversaries.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Simple and Effective Paraphrastic Similarity from Parallel Translations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Unsupervised Text Style Transfer using Language Models as Discriminators.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Speaker-Follower Models for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Visual Referring Expression Recognition: What Do Systems Actually Learn?
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Modeling Online Discourse with Coupled Distributed Topics.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Describe Differences Between Pairs of Similar Images.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

SPINE: SParse Interpretable Neural Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Using Syntax to Ground Referring Expressions in Natural Images.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Tools for Automated Analysis of Cybercriminal Markets.
Proceedings of the 26th International Conference on World Wide Web, 2017

Efficient Correlated Topic Modeling with Topic Embedding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.
Proceedings of the 34th International Conference on Machine Learning, 2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Automatic Compositor Attribution in the First Folio of Shakespeare.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Differentiable Scheduled Sampling for Credit Assignment.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Unsupervised Code-Switching for Multilingual Historical Document Transcription.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

GPU-Friendly Local Regression for Voice Conversion.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

An Empirical Analysis of Optimization for Max-Margin NLP.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Unsupervised Transcription of Piano Music.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparser, Better, Faster GPU Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Improved Typesetting Models for Historical OCR.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Learning Whom to Trust with MACE.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Decipherment with a Million Random Restarts.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Unsupervised Transcription of Historical Documents.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
An Empirical Investigation of Statistical Significance in NLP.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Simple Effective Decipherment via Combinatorial Optimization.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Jointly Learning to Extract and Compress.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Painless Unsupervised Learning with Features.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Phylogenetic Grammar Induction.
Proceedings of the ACL 2010, 2010

2008
Learning Bilingual Lexicons from Monolingual Corpora.
Proceedings of the ACL 2008, 2008


  Loading...