The Morpho-syntactic Annotation of Animacy for a Dependency Parser. - Mohammed Attia; Vitaly Nikolaev; Ali El-Kahky (LREC, 2018)

Improving homograph disambiguation with supervised machine learning. - Kyle Gorman; Gleb Mazovetskiy; Vitaly Nikolaev (LREC, 2018)

Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images. - Vitaly Nikolaev (CoRR, 2020)

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. - Jonathan H. Clark; Jennimaria Palomaki; Vitaly Nikolaev; Eunsol Choi; Dan Garrette; Michael Collins 001; Tom Kwiatkowski (Trans. Assoc. Comput. Linguistics, 2020)

SynthBio: A Case Study in Faster Curation of Text Datasets. - Ann Yuan; Daphne Ippolito; Vitaly Nikolaev; Chris Callison-Burch; Andy Coenen; Sebastian Gehrmann (NeurIPS Datasets and Benchmarks, 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. - Ann Yuan; Daphne Ippolito; Vitaly Nikolaev; Chris Callison-Burch; Andy Coenen; Sebastian Gehrmann (CoRR, 2021)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (CoRR, 2021)

Planning with Learned Entity Prompts for Abstractive Summarization. - Shashi Narayan; Yao Zhao; Joshua Maynez; Gonçalo Simões; Vitaly Nikolaev; Ryan T. McDonald (Trans. Assoc. Comput. Linguistics, 2021)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. - Elizabeth Clark; Shruti Rijhwani; Sebastian Gehrmann; Joshua Maynez; Roee Aharoni; Vitaly Nikolaev; Thibault Sellam; Aditya Siddhant; Dipanjan Das 001; Ankur P. Parikh (EMNLP, 2023)

TaTA: A Multilingual Table-to-Text Dataset for African Languages. - Sebastian Gehrmann; Sebastian Ruder; Vitaly Nikolaev; Jan A. Botha; Michael Chavinda; Ankur P. Parikh; Clara Rivera (EMNLP (Findings), 2023)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Lora Aroyo; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (Comput. Linguistics, 2023)

Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy? - Louis Vervoort; Vitaly Nikolaev (CoRR, 2025)