Credible Without Credit: Domain Experts Assess Generative Language Models (ACL 2023)
Denis Peskoff, Brandon Stewart
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence (NeurIPS 2021)
Alexander Hoyle†, Pranav Goel†, Denis Peskov†, Andrew Hian-Cheong†, Jordan Boyd-Graber, and Philip Resnik († Equal Effort)
Adapting Entities Across Languages and Cultures (Findings of EMNLP 2021)
Denis Peskov, Viktor Hangya, Jordan Boyd-Graber, and Alexander Fraser
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation (COLING 2020)
Dario Stojanovski†, Benno Krojer†, Denis Peskov†, and Alexander Fraser († Equal Effort)
It Takes Two To Lie: One to Lie, and One to Listen (ACL 2020)
Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan Boyd-Graber
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data (EMNLP 2019)
Denis Peskov†, Nancy Clarke†, Jason Krone†, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab († Equal Effort)
Can You Unpack That? Learning to Rewrite Questions-in-Context (EMNLP 2019)
Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts (EMNLP 2019)
Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligoric, Sean Kross, Michelle Mazurek, Hal Daumé III
Mitigating Noisy Inputs for Question Answering (INTERSPEECH 2019)
Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan Boyd-Graber
Measuring the Rapid Growth of HSTS and HPKP Deployments (Unpublished 2017)
Ivan Petrov, Denis Peskov, Gregory Coard, Taejoong Chung, David Choffnes, Dave Levin, Bruce M. Maggs, Alan Mislove, Christo Wilson
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity (SemEval 2017)
Joe Barrow, Denis Peskov