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ORCIDGraham Neubig
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- affiliation: Carnegie Mellon University, USA
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2020 – today
- 2023
[j46]Pengfei Liu
, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Comput. Surv. 55(9): 195:1-195:35 (2023)- [j45]Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class. ACM Trans. Softw. Eng. Methodol. 32(2): 39:1-39:34 (2023) - [c367]Patrick Fernandes, Kayo Yin, Emmy Liu, André Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. ACL (1) 2023: 606-626 - [c366]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: 8269-8284 - [c365]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: 8487-8495 - [c364]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. ACL (1) 2023: 10288-10303 - [c363]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: 12044-12066 - [c362]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: 13745-13818 - [c361]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: 14931-14942 - [c360]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. EACL (Findings) 2023: 265-273 - [c359]Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W. Black, Shinji Watanabe:
CTC Alignments Improve Autoregressive Translation. EACL 2023: 1615-1631 - [c358]Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig:
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. EACL (Findings) 2023: 1680-1690 - [c357]Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
AANG : Automating Auxiliary Learning. ICLR 2023 - [c356]Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig:
Computational Language Acquisition with Theory of Mind. ICLR 2023 - [c355]Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer:
Mega: Moving Average Equipped Gated Attention. ICLR 2023 - [c354]Machel Reid, Vincent Josua Hellendoorn, Graham Neubig:
DiffusER: Diffusion via Edit-based Reconstruction. ICLR 2023 - [c353]Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig:
DocPrompting: Generating Code by Retrieving the Docs. ICLR 2023 - [c352]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. ICML 2023: 10764-10799 - [c351]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. ICML 2023: 31030-31056 - [c350]Frank F. Xu, Uri Alon, Graham Neubig:
Why do Nearest Neighbor Language Models Work? ICML 2023: 38325-38341 - [c349]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: 209-216 - [c348]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. *SEM@ACL 2023: 149-164 - [i254]Frank F. Xu, Uri Alon, Graham Neubig:
Why do Nearest Neighbor Language Models Work? CoRR abs/2301.02828 (2023) - [i253]Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig:
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. CoRR abs/2302.05527 (2023) - [i252]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. CoRR abs/2302.05738 (2023) - [i251]Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. CoRR abs/2302.07867 (2023) - [i250]Shruti Rijhwani, Daisy Rosenblum, Michayla King, Antonios Anastasopoulos, Graham Neubig:
User-Centric Evaluation of OCR Systems for Kwak'wala. CoRR abs/2302.13410 (2023) - [i249]Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig:
Computational Language Acquisition with Theory of Mind. CoRR abs/2303.01502 (2023) - [i248]Ivan Stelmakh, John Wieting, Graham Neubig, Nihar B. Shah:
A Gold Standard Dataset for the Reviewer Assignment Problem. CoRR abs/2303.16750 (2023) - [i247]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 abs/2305.00955 (2023) - [i246]Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley:
Unlimiformer: Long-Range Transformers with Unlimited Length Input. CoRR abs/2305.01625 (2023) - [i245]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. CoRR abs/2305.06983 (2023) - [i244]Masahiro Kaneko, Graham Neubig, Naoaki Okazaki:
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. CoRR abs/2305.11789 (2023) - [i243]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 abs/2305.14716 (2023) - [i242]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 abs/2305.16171 (2023) - [i241]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. CoRR abs/2305.16636 (2023) - [i240]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 abs/2305.18185 (2023) - [i239]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 abs/2306.01200 (2023) - [i238]Manuel Mager, Rajat Bhatnagar, Graham Neubig, Ngoc Thang Vu, Katharina Kann:
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction. CoRR abs/2306.06804 (2023) - [i237]Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. CoRR abs/2307.00524 (2023) - [i236]I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig:
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR abs/2307.04507 (2023) - [i235]I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu:
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR abs/2307.13528 (2023) - [i234]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 abs/2307.13854 (2023) - [i233]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 abs/2308.07286 (2023) - [i232]Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig:
Prompt2Model: Generating Deployable Models from Natural Language Instructions. CoRR abs/2308.12261 (2023) - [i231]Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen, Graham Neubig:
ChatGPT MT: Competitive for High- (but not Low-) Resource Languages. CoRR abs/2309.07423 (2023) - 2022
- [j44]Katharina Kann, Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, John E. Ortega, Annette Rios, Angela Fan, Ximena Gutierrez-Vasques, Luis Chiruzzo, Gustavo Alberto Giménez Lugo, Ricardo Ramos, Iván Vladimir Meza Ruíz, Elisabeth Mager, Vishrav Chaudhary, Graham Neubig, Alexis Palmer, Rolando A. Coto Solano, Ngoc Thang Vu:
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. Frontiers Artif. Intell. 5 (2022) - [j43]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? J. Artif. Intell. Res. 75: 171-212 (2022) - [j42]Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics 10: 359-375 (2022) - [j41]Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. ACM Trans. Softw. Eng. Methodol. 31(2): 29:1-29:47 (2022) - [c347]Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. AAAI 2022: 5277-5285 - [c346]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) 2022: 182-195 - [c345]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation. ACL (1) 2022: 863-877 - [c344]Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig:
On The Ingredients of an Effective Zero-shot Semantic Parser. ACL (1) 2022: 1455-1474 - [c343]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) 2022: 1753-1766 - [c342]Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig:
Breaking Down Multilingual Machine Translation. ACL (Findings) 2022: 2766-2780 - [c341]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. ACL (1) 2022: 2890-2903 - [c340]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. ACL (1) 2022: 2998-3012 - [c339]Damián E. Blasi, Antonios Anastasopoulos, Graham Neubig:
Systematic Inequalities in Language Technology Performance across the World's Languages. ACL (1) 2022: 5486-5505 - [c338]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Iván Vladimir Meza Ruíz, Gustavo Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando A. Coto Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. ACL (1) 2022: 6279-6299 - [c337]Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. COLING 2022: 1765-1775 - [c336]Kayo Yin, Graham Neubig:
Interpreting Language Models with Contrastive Explanations. EMNLP 2022: 184-198 - [c335]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP (Demos) 2022: 338-350 - [c334]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. EMNLP (Demos) 2022: 379-388 - [c333]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. EMNLP 2022: 1384-1403 - [c332]Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP 2022: 2336-2349 - [c331]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) 2022: 2613-2626 - [c330]Machel Reid, Graham Neubig:
Learning to Model Editing Processes. EMNLP (Findings) 2022: 3822-3832 - [c329]David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia V. Taylor, Fatoumata Ouoba Kabore, Chris Chinenye Emezue, Aremu Anuoluwapo, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow:
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. EMNLP 2022: 4488-4508 - [c328]Amanda Bertsch, Graham Neubig, Matthew R. Gormley:
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. EMNLP (Findings) 2022: 4823-4840 - [c327]Emmy Liu, Graham Neubig:
Are representations built from the ground up? An empirical examination of local composition in language models. EMNLP 2022: 9053-9073 - [c326]Yau-Shian Wang, Ashley Wu, Graham Neubig:
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings. EMNLP 2022: 9122-9133 - [c325]Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig:
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. ICLR 2022 - [c324]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR 2022 - [c323]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Distributionally Robust Models with Parametric Likelihood Ratios. ICLR 2022 - [c322]Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. ICLR 2022 - [c321]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML 2022: 468-485 - [c320]Melanie Sclar, Graham Neubig, Yonatan Bisk:
Symmetric Machine Theory of Mind. ICML 2022: 19450-19466 - [c319]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. ICSE 2022: 2327-2339 - [c318]Perez Ogayo, Graham Neubig, Alan W. Black:
Building African Voices. INTERSPEECH 2022: 1263-1267 - [c317]Brian Yan, Patrick Fernandes, Siddharth Dalmia, Jiatong Shi, Yifan Peng, Dan Berrebbi, Xinyi Wang, Graham Neubig, Shinji Watanabe:
CMU's IWSLT 2022 Dialect Speech Translation System. IWSLT@ACL 2022: 298-307 - [c316]Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen:
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. NAACL-HLT 2022: 932-942 - [c315]Patrick Fernandes, António Farinhas, Ricardo Rei, José Guilherme Camargo de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. NAACL-HLT 2022: 1396-1412 - [c314]Emmy Liu, Chenxuan Cui, Kenneth Zheng, Graham Neubig:
Testing the Ability of Language Models to Interpret Figurative Language. NAACL-HLT 2022: 4437-4452 - [c313]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. NeurIPS 2022 - [c312]Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn:
A systematic evaluation of large language models of code. MAPS@PLDI 2022: 1-10 - [c311]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. USENIX Security Symposium 2022: 4327-4343 - [i230]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR abs/2201.12431 (2022) - [i229]Kayo Yin, Graham Neubig:
Interpreting Language Models with Contrastive Explanations. CoRR abs/2202.10419 (2022) - [i228]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. CoRR abs/2202.12875 (2022) - [i227]Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn:
A Systematic Evaluation of Large Language Models of Code. CoRR abs/2202.13169 (2022) - [i226]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. CoRR abs/2203.07264 (2022) - [i225]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. CoRR abs/2203.08388 (2022) - [i224]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation. CoRR abs/2203.09435 (2022) - [i223]Aditi Chaudhary, Zaid Sheikh, David R. Mortensen, Antonios Anastasopoulos, Graham Neubig:
AUTOLEX: An Automatic Framework for Linguistic Exploration. CoRR abs/2203.13901 (2022) - [i222]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. CoRR abs/2203.16804 (2022) - [i221]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Distributionally Robust Models with Parametric Likelihood Ratios. CoRR abs/2204.06340 (2022) - [i220]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR abs/2204.10810 (2022) - [i219]Emmy Liu, Chen Cui, Kenneth Zheng, Graham Neubig:
Testing the Ability of Language Models to Interpret Figurative Language. CoRR abs/2204.12632 (2022) - [i218]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. CoRR abs/2205.00049 (2022) - [i217]Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. CoRR abs/2205.00978 (2022) - [i216]Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig:
Table Retrieval May Not Necessitate Table-specific Model Design. CoRR abs/2205.09843 (2022) - [i215]Machel Reid, Graham Neubig:
Learning to Model Editing Processes. CoRR abs/2205.12374 (2022) - [i214]Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
AANG: Automating Auxiliary Learning. CoRR abs/2205.14082 (2022) - [i213]Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri, Antonios Anastasopoulos, Graham Neubig:
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning. CoRR abs/2206.05154 (2022) - [i212]Perez Ogayo, Graham Neubig, Alan W. Black:
Building African Voices. CoRR abs/2207.00688 (2022) - [i211]Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen:
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. CoRR abs/2207.03637 (2022) - [i210]Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig:
DocCoder: Generating Code by Retrieving and Reading Docs. CoRR abs/2207.05987 (2022) - [i209]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. CoRR abs/2208.11024 (2022) - [i208]Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer:
Mega: Moving Average Equipped Gated Attention. CoRR abs/2209.10655 (2022) - [i207]Emmy Liu, Graham Neubig:
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models. CoRR abs/2210.03575 (2022) - [i206]Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. CoRR abs/2210.04234 (2022) - [i205]Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W. Black, Shinji Watanabe:
CTC Alignments Improve Autoregressive Translation. CoRR abs/2210.05200 (2022)