Nicholas Andrews

66 papers A* 5C 3Misc 1Journal 35Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can LLMs Help Localize Fake Words in Partially Fake Speech? CoRR Lin Zhang, Thomas Thebaud, Zexin Cai, Sanjeev Khudanpur, Daniel Povey, Leibny Paola García-Perera, Matthew Wiesner, Nicholas Andrews
2026	J	`jnl`	CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data. CoRR Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, Rafael Mosquera Gómez, Sara Hincapié Monsalve, Thom Vaughan, Damian Stewart, Malte Ostendorff, Idris Abdulmumin, Vukosi Marivate, Shamsuddeen Hassan Muhammad, Atnafu Lambebo Tonja, Hend Al-Khalifa, Nadia Ghezaiel Hammouda, Verrah Otiende, Tack Hwa Wong, Jakhongir Saydaliev, Melika Nobakhtian, Muhammad Ravi Shulthan Habibi, Chalamalasetti Kranti, Carol Muchemi, Khang Nguyen, Faisal Muhammad Adam, Luis Frentzen Salim, Reem Alqifari, Cynthia Amol, Joseph Marvin Imperial, Ilker Kesen, Ahmad Mustafid, Pavel Stepachev, Leshem Choshen, David Anugraha, Hamada Nayel, Seid Muhie Yimam, Vallerie Alexandra Putra, My Chiffon Nguyen, Azmine Toushik Wasi, Gouthami Vadithya, Rob van der Goot, Lanwenn Ar C'horr, Karan Dua, Andrew Yates, Mithil Bangera, Yeshil Bangera, Hitesh Laxmichand Patel, Shu Okabe, Fenal Ashokbhai Ilasariya, Dmitry Gaynullin, Genta Indra Winata, Yiyuan Li, Juan Pablo Martínez, Amit Agarwal, Ikhlasul Akmal Hanif, Raia Abu Ahmad, Esther Adenuga, Filbert Aurelian Tjiaranata, Weerayut Buaphet, Michael Anugraha, Sowmya Vajjala, Benjamin Rice, Azril Hafizi Amirudin, Jesujoba O. Alabi, Srikant Panda, Yassine Toughrai, Bruhan Kyomuhendo, Daniel Ruffinelli, Akshata A, Manuel Goulão, Ej Zhou, Ingrid Gabriela Franco Ramirez, Cristina Aggazzotti, Konstantin Dobler, Jun Kevin, Quentin Pagès, Nicholas Andrews, Nuhu Ibrahim, Mattes Ruckdeschel, Amr Keleg, Mike Zhang, Casper Muziri, Saron Samuel, Sotaro Takeshita, Kun Kerdthaisong, Luca Foppiano, Rasul Dent, Tommaso Green, Ahmad Mustapha Wali, Kamohelo Makaaka, Vicky Feliren, Inshirah Idris, Hande Çelikkanat, Abdulhamid Abubakar, Jean Maillard, Benoît Sagot, Thibault Clérice, Kenton Murray, Sarah Luger
2026	J	`jnl`	Integrated Spoofing-Robust Automatic Speaker Verification via a Three-Class Formulation and LLR. CoRR Kai Tan, Lin Zhang, Ruiteng Zhang, Johan Rohdin, Leibny Paola García-Perera, Zexin Cai, Sanjeev Khudanpur, Matthew Wiesner, Nicholas Andrews
2026	J	`jnl`	Universal Speech Content Factorization. CoRR Henry Li Xinyuan, Zexin Cai, Lin Zhang, Leibny Paola García-Perera, Berrak Sisman, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner
2025	J	`jnl`	Can Optimization Trajectories Explain Multi-Task Transfer? Trans. Mach. Learn. Res. David Mueller, Mark Dredze, Nicholas Andrews
2025	J	`jnl`	Content Anonymization for Privacy in Long-form Audio. CoRR Cristina Aggazzotti, Ashi Garg, Zexin Cai, Nicholas Andrews
2025	J	`jnl`	Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News. CoRR Ross Koval, Nicholas Andrews, Xifeng Yan
2025	J	`jnl`	Feedback Friction: LLMs Struggle to Fully Incorporate External Feedback. CoRR Dongwei Jiang, Alvin Zhang, Andrew Wang, Nicholas Andrews, Daniel Khashabi
2025	C	`conf`	GenVC: Self-Supervised Zero-Shot Voice Conversion. ASRU Zexin Cai, Henry Li Xinyuan, Ashi Garg, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Matthew Wiesner, Nicholas Andrews
2025	J	`jnl`	GenVC: Self-Supervised Zero-Shot Voice Conversion. CoRR Zexin Cai, Henry Li Xinyuan, Ashi Garg, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Matthew Wiesner, Nicholas Andrews
2025	Misc	`conf`	HLTCOE Submission to the VoicePrivacy Attacker Challenge. ICASSP Henry Li Xinyuan, Ashi Garg, Zexin Cai, Kevin Duh, Leibny Paola García-Perera, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner
2025	J	`jnl`	Hell or High Water: Evaluating Agentic Recovery from External Failures. CoRR Andrew Wang, Sophia Hager, Adi Asija, Daniel Khashabi, Nicholas Andrews
2025	J	`jnl`	Language Models Optimized to Fool Detectors Still Have a Distinct Style (And How to Change It). CoRR Rafael A. Rivera Soto, Barry Y. Chen, Nicholas Andrews
2025	A*	`conf`	Learning Extrapolative Sequence Transformations from Markov Chains. ICML Sophia Hager, Aleem Khan, Andrew Wang, Nicholas Andrews
2025	J	`jnl`	Learning Extrapolative Sequence Transformations from Markov Chains. CoRR Sophia Hager, Aleem Khan, Andrew Wang, Nicholas Andrews
2025	J	`jnl`	Less is More for Synthetic Speech Detection in the Wild. CoRR Ashi Garg, Zexin Cai, Henry Li Xinyuan, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Matthew Wiesner, Nicholas Andrews
2025	—	`conf`	Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion. ACL (Findings) Rafael Alberto Rivera Soto, Barry Y. Chen, Nicholas Andrews
2025	—	`conf`	Multimodal Language Models for Financial Forecasting from Interleaved Sequences of Text and Time Series. IJCNLP-AACL (long papers) Ross Koval, Nicholas Andrews, Xifeng Yan
2025	J	`jnl`	Multimodal Language Models with Modality-Specific Experts for Financial Forecasting from Interleaved Sequences of Text and Time Series. CoRR Ross Koval, Nicholas Andrews, Xifeng Yan
2025	C	`conf`	Rapidly Adapting to New Voice Spoofing: Few-Shot Detection of Synthesized Speech Under Distribution Shifts. ASRU Ashi Garg, Zexin Cai, Henry Li Xinyuan, Leibny Paola García-Perera, Sanjeev Khudanpur, Matthew Wiesner, Nicholas Andrews
2025	C	`conf`	Scalable Controllable Accented TTS. ASRU Henry Li Xinyuan, Zexin Cai, Ashi Garg, Kevin Duh, Leibny Paola García-Perera, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner
2025	J	`jnl`	The Impact of Automatic Speech Transcription on Speaker Attribution. CoRR Cristina Aggazzotti, Matthew Wiesner, Elizabeth Allyn Smith, Nicholas Andrews
2025	J	`jnl`	The Impact of Automatic Speech Transcription on Speaker Attribution. Trans. Assoc. Comput. Linguistics Cristina Aggazzotti, Matthew Wiesner, Elizabeth Allyn Smith, Nicholas Andrews
2025	J	`jnl`	Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence. CoRR Sophia Hager, David Mueller, Kevin Duh, Nicholas Andrews
2024	A*	`conf`	AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. EMNLP Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi
2024	J	`jnl`	AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. CoRR Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi
2024	J	`jnl`	Are Paraphrases Generated by Large Language Models Invertible? CoRR Rafael A. Rivera Soto, Barry Y. Chen, Nicholas Andrews
2024	J	`jnl`	Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts? Trans. Assoc. Comput. Linguistics Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith
2024	J	`jnl`	Can Optimization Trajectories Explain Multi-Task Transfer? CoRR David Mueller, Mark Dredze, Nicholas Andrews
2024	A*	`conf`	Few-Shot Detection of Machine-Generated Text using Style Representations. ICLR Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews
2024	J	`jnl`	Few-Shot Detection of Machine-Generated Text using Style Representations. CoRR Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews
2024	—	`conf`	Financial Forecasting from Textual and Tabular Time Series. EMNLP (Findings) Ross Koval, Nicholas Andrews, Xifeng Yan
2024	J	`jnl`	HLTCOE JHU Submission to the Voice Privacy Challenge 2024. CoRR Henry Li Xinyuan, Zexin Cai, Ashi Garg, Kevin Duh, Leibny Paola García-Perera, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner
2024	—	`conf`	Learning to Compare Financial Reports for Financial Forecasting. EACL (Findings) Ross Koval, Nicholas Andrews, Xifeng Yan
2024	—	`conf`	Multi-Task Transfer Matters During Instruction-Tuning. ACL (Findings) David Mueller, Mark Dredze, Nicholas Andrews
2024	—	`conf`	Privacy Versus Emotion Preservation Trade-Offs in Emotion-Preserving Speaker Anonymization. SLT Zexin Cai, Henry Li Xinyuan, Ashi Garg, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner
2024	J	`jnl`	Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization. CoRR Zexin Cai, Henry Li Xinyuan, Ashi Garg, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner
2023	J	`jnl`	Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts? CoRR Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith
2023	J	`jnl`	Can Authorship Representation Learning Capture Stylistic Features? CoRR Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael A. Rivera Soto, Marcus Bishop, Nicholas Andrews
2023	J	`jnl`	Can Authorship Representation Learning Capture Stylistic Features? Trans. Assoc. Comput. Linguistics Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael A. Rivera Soto, Marcus Bishop, Nicholas Andrews
2023	—	`conf`	Forecasting Earnings Surprises from Conference Call Transcripts. ACL (Findings) Ross Koval, Nicholas Andrews, Xifeng Yan
2023	J	`jnl`	Learning to Generate Text in Arbitrary Writing Styles. CoRR Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews
2022	—	`conf`	Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? EMNLP (Findings) David Mueller, Nicholas Andrews, Mark Dredze
2022	J	`jnl`	Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? CoRR David Mueller, Nicholas Andrews, Mark Dredze
2022	J	`jnl`	Low-Resource Authorship Style Transfer with In-Context Learning. CoRR Ajay Patel, Nicholas Andrews, Chris Callison-Burch
2021	—	`conf`	A Deep Metric Learning Approach to Account Linking. NAACL-HLT Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
2021	J	`jnl`	A Deep Metric Learning Approach to Account Linking. CoRR Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
2021	—	`conf`	Learning Universal Authorship Representations. EMNLP (1) Rafael A. Rivera Soto, Olivia Elizabeth Miano, Juanita Ordonez, Barry Y. Chen, Aleem Khan, Marcus Bishop, Nicholas Andrews
2020	—	`conf`	Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. RepL4NLP@ACL Mitchell A. Gordon, Kevin Duh, Nicholas Andrews
2020	J	`jnl`	Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. CoRR Mitchell A. Gordon, Kevin Duh, Nicholas Andrews
2020	—	`conf`	Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three. EMNLP (1) Steven Reich, David Mueller, Nicholas Andrews
2020	J	`jnl`	Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three. CoRR Steven Reich, David Mueller, Nicholas Andrews
2020	A*	`conf`	Sources of Transfer in Multilingual Named Entity Recognition. ACL David Mueller, Nicholas Andrews, Mark Dredze
2020	J	`jnl`	Sources of Transfer in Multilingual Named Entity Recognition. CoRR David Mueller, Nicholas Andrews, Mark Dredze
2019	—	`conf`	Learning Invariant Representations of Social Media Users. EMNLP/IJCNLP (1) Nicholas Andrews, Marcus Bishop
2019	J	`jnl`	Learning Invariant Representations of Social Media Users. CoRR Nicholas Andrews, Marcus Bishop
2018	—	`conf`	Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP Zach Wood-Doughty, Nicholas Andrews, Mark Dredze
2018	—	`conf`	Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze
2017	—	`conf`	Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner
2016	—	`conf`	Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. SocialNLP@EMNLP Mark Dredze, Nicholas Andrews, Jay DeYoung
2015	—	`conf`	A Concrete Chinese NLP Pipeline. HLT-NAACL Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze
2014	—	`conf`	Robust Entity Clustering via Phylogenetic Inference. ACL (1) Nicholas Andrews, Jason Eisner, Mark Dredze
2013	—	`conf`	PARMA: A Predicate Argument Aligner. ACL (2) Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao
2012	—	`conf`	Entity Clustering Across Languages. HLT-NAACL Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning
2012	—	`conf`	Name Phylogeny: A Generative Model of String Variation. EMNLP-CoNLL Nicholas Andrews, Jason Eisner, Mark Dredze
2008	A*	`conf`	Seeded Discovery of Base Relations in Large Corpora. EMNLP Nicholas Andrews, Naren Ramakrishnan