Cohn, Trevor

21 publications

NeurIPS 2025 Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation Jianyuan Guo, Peike Li, Trevor Cohn

ICLRW 2025 Don't Throw Away Data: Improving Sequence Knowledge Distillation with Minimum Bayes Risk Decoding Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn

ICLR 2025 Improving Language Model Distillation Through Hidden State Matching Sayantan Dasgupta, Trevor Cohn

NeurIPS 2025 MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, Binbinliu, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Trevor Cohn, Meng Fang

ICLR 2025 Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn

AAAI 2025 Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts Sukai Huang, Nir Lipovetzky, Trevor Cohn

NeurIPS 2025 Zero-Shot Performance Prediction for Probabilistic Scaling Laws Viktoria Schram, Markus Hiller, Daniel Beck, Trevor Cohn

ICLR 2023 Everybody Needs Good Neighbours: An Unsupervised Locality-Based Method for Bias Mitigation Xudong Han, Timothy Baldwin, Trevor Cohn

AAAI 2022 Incorporating Constituent Syntax for Coreference Resolution Fan Jiang, Trevor Cohn

ICLR 2020 Decoding as Dynamic Programming for Recurrent Autoregressive Models Najam Zaidi, Trevor Cohn, Gholamreza Haffari

ICML 2019 Exploiting Worker Correlation for Label Aggregation in Crowdsourcing Yuan Li, Benjamin Rubinstein, Trevor Cohn

IJCAI 2017 Compressed Nonparametric Language Modelling Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn

IJCAI 2017 Modelling the Working Week for Multi-Step Forecasting Using Gaussian Process Regression Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn

AAAI 2016 Convolution Kernels for Discriminative Learning from Streaming Text Michal Lukasik, Trevor Cohn

MLJ 2015 Day Trading Profit Maximization with Multi-Task Learning and Technical Analysis Zsolt Bitvai, Trevor Cohn

AAAI 2015 Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression Zsolt Bitvai, Trevor Cohn

ECML-PKDD 2015 Structured Prediction of Sequences and Trees Using Infinite Contexts Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson

JMLR 2010 Inducing Tree-Substitution Grammars Trevor Cohn, Phil Blunsom, Sharon Goldwater

JAIR 2009 Sentence Compression as Tree Transduction Trevor Cohn, Mirella Lapata

NeurIPS 2008 Bayesian Synchronous Grammar Induction Phil Blunsom, Trevor Cohn, Miles Osborne

ECML-PKDD 2006 Efficient Inference in Large Conditional Random Fields Trevor Cohn