Graham Neubig27 papers on this site (2017–2025)OpenAlex · ORCID · h-index 72 · 630 works · 24683 citations (openalex-snapshot, 2026-10-14)Profile data from OpenAlex; authors with the same name are not always told apart.Demystifying Long Chain-of-Thought Reasoning in LLMsEdward Yeo, Yuxuan Tong, Morry Niu, et al.2025Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsSeungone Kim, Juyoung Suk, Shayne Longpre, et al.2024VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksJing Yu Koh, Robert Lo, Lawrence Jang, et al.2024FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosI-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsXuhui Zhou, Hao Zhu, Leena Mathur, et al.2023The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation EvaluationPatrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.2023WebArena: A Realistic Web Environment for Building Autonomous AgentsShuyan Zhou, Frank F. Xu, Hao Zhu, et al.2023BRIO: Bringing Order to Abstractive SummarizationYixin Liu, Pengfei Liu, Dragomir Radev, et al.2022Systematic Inequalities in Language Technology Performance across the World's LanguagesDamian Blasi, Antonios Anastasopoulos, Graham Neubig2022BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021GSum: A General Framework for Guided Neural Abstractive SummarizationZi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.2021MasakhaNER: Named Entity Recognition for African LanguagesDavid Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021Towards a Unified View of Parameter-Efficient Transfer LearningJunxian He, Chunting Zhou, Xuezhe Ma, et al.2021XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationSebastian Ruder, Noah Constant, Jan Botha, et al.2021How Can We Know What Language Models Know?Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.2020Politeness Transfer: A Tag and Generate ApproachAman Madaan, Amrith Setlur, Tanmay Parekh, et al.2020TaBERT: Pretraining for Joint Understanding of Textual and Tabular DataPengcheng Yin, Graham Neubig, Wen-tau Yih, et al.2020XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual GeneralizationJunjie Hu, Sebastian Ruder, Aditya Siddhant, et al.2020Are Sixteen Heads Really Better than One?Paul Michel, Omer Levy, Graham Neubig2019Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityJohn Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.2019Handling Syntactic Divergence in Low-resource Machine TranslationChunting Zhou, Xuezhe Ma, Junjie Hu, et al.2019Learning to Mine Aligned Code and Natural Language Pairs from Stack OverflowPengcheng Yin, Bowen Deng, Edgar Chen, et al.2018Rapid Adaptation of Neural Machine Translation to New LanguagesGraham Neubig, Junjie Hu2018When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?Ye Qi, Devendra Sachan, Matthieu Felix, et al.2018A Syntactic Neural Model for General-Purpose Code GenerationPengcheng Yin, Graham Neubig2017DyNet: The Dynamic Neural Network ToolkitGraham Neubig, Chris Dyer, Yoav Goldberg, et al.2017