Taylor Berg-Kirkpatrick
101 papers · 2008–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (12) πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Academic Marathon (17)
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(12)
π§
Keyword Pioneer
π
Academic Marathon
(17)
π
Keyword Trendsetter Combo
(5)
π
Conference Loyalist
(27)
π
Grand Slam
π
Triple Crown
π¬
Deep Specialist
(15)
π
Keyword Champion
(3)
π€
Dynamic Duo
(19)
β
The Questioner
(3)
ποΈ
Keyword Collector
(329)
π
Century Club
(99)
π₯
Unstoppable
(16)
β‘
Prolific Year
(12)
π
Trend Setter
Conferences
ACL (28)
EMNLP (28)
NAACL (11)
ICLR (10)
IJCNLP (6)
NIPS (6)
ICML (3)
AAAI (2)
CONLL (2)
EACL (2)
IJCAI (2)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
language model
(16)
unsupervised learning
(11)
text generation
(9)
latent variable
(7)
variational autoencoder
(7)
generative model
(5)
variational inference
(5)
cross-lingual transfer
(4)
machine translation
(4)
domain adaptation
(4)
representation learning
(4)
large language model
(4)
latent variable model
(4)
metropolis-hastings sampling
(3)
style transfer
(3)
text style transfer
(3)
text classification
(3)
zero-shot learning
(3)
source separation
(3)
language modeling
(3)
Papers
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
ACL 2026
From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media
EACL 2026
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques
NAACL 2025
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
ICML 2025
Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora
IJCAI 2025
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models
ICLR 2025
TeaserGen: Generating Teasers for Long Documentaries
ICLR 2025
Presto! Distilling Steps and Layers for Accelerating Music Generation
ICLR 2025
Grammar-Aligned Decoding
NIPS 2024
Retrieval Guided Music Captioning via Multimodal Prefixes
IJCAI 2024
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP
ACL 2024
Aligning Unstructured Paris Agreement Climate Plans with Sustainable Development Goals
ACL 2024
Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating
ACL 2024
DITTO: Diffusion Inference-Time T-Optimization for Music Generation
ICML 2024
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
NIPS 2024
Alt-Text with Context: Improving Accessibility for Images on Twitter
ICLR 2024
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
ICLR 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
EMNLP 2024
Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation
INTERSPEECH 2024
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors
EACL 2024
Contrastive Attention Networks for Attribution of Early Modern Print
AAAI 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation
CONLL 2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison
ACL 2023
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval
ACL 2023
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation
EMNLP 2023
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN
EMNLP 2023
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
ICLR 2023
Towards a Unified View of Parameter-Efficient Transfer Learning
ICLR 2022
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data
AAAI 2022
Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription
NAACL 2022
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context
NAACL 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
NAACL 2022
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models
ACL 2022
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
ACL 2022
HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes
ACL 2022
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models
EMNLP 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
EMNLP 2022
Paraphrastic Representations at Scale
EMNLP 2022
Prompt Consistency for Zero-Shot Task Generalization
EMNLP 2022
HeLo: Learning-Free Lookahead Decoding for Conversation Infilling
EMNLP 2022
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
ICLR 2022
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction
IJCNLP 2021
Truth-Conditional Captions for Time Series Data
EMNLP 2021
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
EMNLP 2021
Scalable Font Reconstruction with Dual Latent Manifolds
EMNLP 2021
Efficient Nearest Neighbor Language Models
EMNLP 2021
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
EMNLP 2021
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels
NAACL 2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
IJCNLP 2021
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction
ACL 2021
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation
ACL 2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
ACL 2021
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation
IJCNLP 2021
An Empirical Investigation of Contextualized Number Prediction
EMNLP 2020
Phonetic and Visual Priors for Decipherment of Informal Romanization
ACL 2020
Refer360β: A Referring Expression Recognition Dataset in 360β Images
ACL 2020
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing
ACL 2020
Narrative Text Generation with a Latent Discrete Plan
EMNLP 2020
A Probabilistic Formulation of Unsupervised Text Style Transfer
ICLR 2020
A Bilingual Generative Transformer for Semantic Sentence Embedding
EMNLP 2020
Learning Sparse Prototypes for Text Generation
NIPS 2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
EMNLP 2020
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
ICLR 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
ACL 2019
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
ACL 2019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search
NAACL 2019
Learning Rhyming Constraints using Structured Adversaries
IJCNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
IJCNLP 2019
Simple and Effective Paraphrastic Similarity from Parallel Translations
ACL 2019
A Deep Factorization of Style and Structure in Fonts
IJCNLP 2019
A Deep Factorization of Style and Structure in Fonts
EMNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
EMNLP 2019
Learning Rhyming Constraints using Structured Adversaries
EMNLP 2019
Unsupervised Text Style Transfer using Language Models as Discriminators
NIPS 2018
Speaker-Follower Models for Vision-and-Language Navigation
NIPS 2018
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data
ACL 2018
Visual Referring Expression Recognition: What Do Systems Actually Learn?
NAACL 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
EMNLP 2018
Learning to Describe Differences Between Pairs of Similar Images
EMNLP 2018
Modeling Online Discourse with Coupled Distributed Topics
EMNLP 2018
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
ICML 2017
Differentiable Scheduled Sampling for Credit Assignment
ACL 2017
Automatic Compositor Attribution in the First Folio of Shakespeare
ACL 2017
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
EMNLP 2017
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
ACL 2016
Unsupervised Code-Switching for Multilingual Historical Document Transcription
NAACL 2015
An Empirical Analysis of Optimization for Max-Margin NLP
EMNLP 2015
GPU-Friendly Local Regression for Voice Conversion
NAACL 2015
Improved Typesetting Models for Historical OCR
ACL 2014
Unsupervised Transcription of Piano Music
NIPS 2014
Sparser, Better, Faster GPU Parsing
ACL 2014
Decipherment with a Million Random Restarts
EMNLP 2013
Learning Whom to Trust with MACE
NAACL 2013
Unsupervised Transcription of Historical Documents
ACL 2013
An Empirical Investigation of Statistical Significance in NLP
EMNLP 2012
An Empirical Investigation of Statistical Significance in NLP
CONLL 2012
Simple Effective Decipherment via Combinatorial Optimization
EMNLP 2011
Jointly Learning to Extract and Compress
ACL 2011
Phylogenetic Grammar Induction
ACL 2010
Painless Unsupervised Learning with Features
NAACL 2010
Learning Bilingual Lexicons from Monolingual Corpora
ACL 2008