Graham Neubig

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 606

Top Venues

Publications

Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig
An image speaks a thousand words, but can everyone listen? On translating images for cultural relevance. CoRR (2024)
Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig
What Are Tools Anyway? A Survey from the Language Model Perspective. CoRR (2024)
Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Tiffany Ling, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation. CoRR (2024)
Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. CoRR (2024)
Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR (2024)
Masahiro Kaneko, Graham Neubig, Naoaki Okazaki
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. EACL (Findings) (2024)
Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried
CodeRAG-Bench: Can Retrieval Augment Code Generation? CoRR (2024)
Jennifer Hsia, Afreen Shaikh, Zhiruo Wang, Graham Neubig
RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems. CoRR (2024)
Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig
WebArena: A Realistic Web Environment for Building Autonomous Agents. ICLR (2024)
Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel R. Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R. Mortensen, Lori S. Levin
Wav2Gloss: Generating Interlinear Glossed Text from Speech. CoRR (2024)
Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. CoRR (2024)
Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. CoRR (2024)
Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
Better Synthetic Data by Retrieving and Transforming Existing Datasets. CoRR (2024)
Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig
Program-Aided Reasoners (Better) Know What They Know. NAACL-HLT (2024)
Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori S. Levin
GlossLM: Multilingual Pretraining for Low-Resource Interlinear Glossing. CoRR (2024)
Zhiruo Wang, Daniel Fried, Graham Neubig
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. CoRR (2024)
Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chien Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov
VIMI: Grounding Video Generation through Multi-modal Instruction. CoRR (2024)
Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. CoRR (2024)
Emmy Liu, Graham Neubig, Jacob Andreas
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models. CoRR (2024)
Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
Learning Performance-Improving Code Edits. ICLR (2024)
Jiaxin Ge, Xueying Jia, Vijay Viswanathan, Hongyin Luo, Graham Neubig
Training Task Experts through Retrieval Based Distillation. CoRR (2024)
Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan
Repetition Improves Language Model Embeddings. CoRR (2024)
Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Yonatan Bisk, Graham Neubig, Hao Zhu
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. ACL (1) (2024)
Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig
Multitask Learning Can Improve Worst-Group Outcomes. Trans. Mach. Learn. Res. 2024 (2024)
Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
Better Synthetic Data by Retrieving and Transforming Existing Datasets. ACL (Findings) (2024)
Simran Khanuja, Srinivas Gowriraj, Lucio M. Dery, Graham Neubig
DeMuX: Data-efficient Multilingual Learning. NAACL-HLT (2024)
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
Large Language Models Enable Few-Shot Clustering. Trans. Assoc. Comput. Linguistics 12 (2024)
Chenyang Zhao, Xueying Jia, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. CoRR (2024)
Lucio M. Dery, Steven Kolawole, Jean-Francois Kagey, Virginia Smith, Graham Neubig, Ameet Talwalkar
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes. CoRR (2024)
Zaid Sheikh, Antonios Anastasopoulos, Shruti Rijhwani, Lindia Tjuatja, Robbie Jimerson, Graham Neubig
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models. CoRR (2024)
Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Russ Salakhutdinov, Daniel Fried
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. ACL (1) (2024)
Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig
Synthetic Multimodal Question Generation. CoRR (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) (2024)
Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi
Fine-grained Hallucination Detection and Editing for Language Models. CoRR (2024)
Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaïd Harchaoui
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models. CoRR (2024)
Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Graham Neubig, Yonatan Bisk, Hao Zhu
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. CoRR (2024)
Yueqi Song, Simran Khanuja, Graham Neubig
What Is Missing in Multilingual Visual Reasoning and How to Fix It. CoRR (2024)
Steffi Chern, Ethan Chern, Graham Neubig, Pengfei Liu
Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate. CoRR (2024)
Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? CoRR (2024)
Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas
Language Modeling with Editable External Knowledge. CoRR (2024)
Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig
In-Context Learning with Long-Context Models: An In-Depth Exploration. CoRR (2024)
Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. ICLR (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
Instruction-tuned Language Models are Better Knowledge Learners. CoRR (2024)
Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan
Evaluating Text-to-Visual Generation with Image-to-Text Generation. CoRR (2024)
Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R. Mortensen, Lori S. Levin
Wav2Gloss: Generating Interlinear Glossed Text from Speech. ACL (1) (2024)
Masahiro Kaneko, Graham Neubig, Naoaki Okazaki
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. CoRR (2023)
Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig
Computational Language Acquisition with Theory of Mind. CoRR (2023)
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT (2023)
Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig
Multi-lingual and Multi-cultural Figurative Language Understanding. ACL (Findings) (2023)
Zhiruo Wang, Jun Araki, Zhengbao Jiang, Md. Rizwan Parvez, Graham Neubig
Learning to Filter Context for Retrieval-Augmented Generation. CoRR (2023)
Frank F. Xu, Uri Alon, Graham Neubig
Why do Nearest Neighbor Language Models Work? ICML (2023)
Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. CoRR (2023)
Taiqi He, Lindia Tjuatja, Nathaniel R. Robinson, Shinji Watanabe, David R. Mortensen, Graham Neubig, Lori S. Levin
SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing. SIGMORPHON (2023)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
Prompt2Model: Generating Deployable Models from Natural Language Instructions. CoRR (2023)
Yueqi Song, Catherine Cui, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. CoRR (2023)
Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen, Graham Neubig
ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages. WMT (2023)
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. ACL (Findings) (2023)
Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig
Multitask Learning Can Improve Worst-Group Outcomes. CoRR (2023)
Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig
WebArena: A Realistic Web Environment for Building Autonomous Agents. CoRR (2023)
Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W. Black, Shinji Watanabe
CTC Alignments Improve Autoregressive Translation. EACL (2023)
Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley
Unlimiformer: Long-Range Transformers with Unlimited Length Input. CoRR (2023)
Hao Zhu, Raghav Kapoor, So Yeon Min, Winson Han, Jiatai Li, Kaiwen Geng, Graham Neubig, Yonatan Bisk, Aniruddha Kembhavi, Luca Weihs
EXCALIBUR: Encouraging and Evaluating Embodied Exploration. CVPR (2023)
Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig
Execution-Based Evaluation for Open-Domain Code Generation. EMNLP (Findings) (2023)
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
Large Language Models Enable Few-Shot Clustering. CoRR (2023)
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. CoRR (2023)
Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig
Program-Aided Reasoners (better) Know What They Know. CoRR (2023)
Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. CoRR (2023)
Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. EACL (Findings) (2023)
Emmy Liu, Aditi Chaudhary, Graham Neubig
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. EMNLP (2023)
Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. ACL (1) (2023)
Shruti Rijhwani, Daisy Rosenblum, Michayla King, Antonios Anastasopoulos, Graham Neubig
User-Centric Evaluation of OCR Systems for Kwak'wala. CoRR (2023)
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
Active Retrieval Augmented Generation. EMNLP (2023)
Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley
Unlimiformer: Long-Range Transformers with Unlimited Length Input. NeurIPS (2023)
Frank F. Xu, Uri Alon, Graham Neubig
Why do Nearest Neighbor Language Models Work? CoRR (2023)
Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR (2023)
Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig
Computational Language Acquisition with Theory of Mind. ICLR (2023)
Machel Reid, Vincent Josua Hellendoorn, Graham Neubig
DiffusER: Diffusion via Edit-based Reconstruction. ICLR (2023)
Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
AANG : Automating Auxiliary Learning. ICLR (2023)
Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. Trans. Assoc. Comput. Linguistics 11 (2023)
Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
Cross-Modal Fine-Tuning: Align then Refine. ICML (2023)
Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, Graham Neubig
Do LLMs exhibit human-like response biases? A case study in survey design. CoRR (2023)
Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig
An In-depth Look at Gemini's Language Abilities. CoRR (2023)
Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. EACL (Findings) (2023)
Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh
Learning Performance-Improving Code Edits. CoRR (2023)
Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig
Multi-lingual and Multi-cultural Figurative Language Understanding. CoRR (2023)
Patrick Fernandes, Kayo Yin, Emmy Liu, André Martins, Graham Neubig
When Does Translation Require Context? A Data-driven, Multilingual Exploration. ACL (1) (2023)
Lindia Tjuatja, Emmy Liu, Lori S. Levin, Graham Neubig
Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity. CoRR (2023)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
Prompt2Model: Generating Deployable Models from Natural Language Instructions. EMNLP (Demos) (2023)
Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. EMNLP (Findings) (2023)
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR (2023)
John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. ACL (1) (2023)
Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Fajri Koto, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Muhammad Satrio Wicaksono, Ivan Halim Parmonangan, Ika Alfina, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh D. Dhole, Arie Ardiyanti Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Hadiwijaya, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Haryo Akbarianto Wibowo, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Fatyanosa, Ziwei Ji, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Pascale Fung, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti
NusaCrowd: Open Source Initiative for Indonesian NLP Resources. ACL (Findings) (2023)
I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR (2023)
Emmy Liu, Aditi Chaudhary, Graham Neubig
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. CoRR (2023)
Manuel Mager, Rajat Bhatnagar, Graham Neubig, Ngoc Thang Vu, Katharina Kann
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction. CoRR (2023)
Yuchen Zhou, Emmy Liu, Graham Neubig, Leila Wehbe
Divergences between Language Models and Human Brains. CoRR (2023)
Amanda Bertsch, Alex Xie, Graham Neubig, Matthew R. Gormley
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk. CoRR (2023)
Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
Cross-Modal Fine-Tuning: Align then Refine. CoRR (2023)
Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. CoRR (2023)
Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. EMNLP (2023)

Graham Neubig.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Graham Neubig