John Wieting
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
7
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | PostMark: A Robust Blackbox Watermark for Large Language Models. | Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer |
| 2024 | NAACL | Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. | Nandan Thakur, Jianmo Ni, Gustavo Hernndez brego, John Wieting, Jimmy Lin, Daniel Cer |
| 2023 | AAAI | QA Is the New KR: Question-Answer Pairs as Knowledge Bases. | William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting |
| 2023 | ACL | Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. | John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2023 | EACL | Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. | Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen |
| 2023 | EMNLP | Evaluating and Modeling Attribution for Cross-Lingual Question Answering. | Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang |
| 2023 | EMNLP | XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. | Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar |
| 2022 | ACL | On The Ingredients of an Effective Zero-shot Semantic Parser. | Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig |
| 2022 | EMNLP | Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization. | Yue Dong, John Wieting, Pat Verga |
| 2022 | EMNLP | RankGen: Improving Text Generation with Large Ranking Models. | Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer |
| 2022 | EMNLP | Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. | Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer |
| 2022 | EMNLP | Paraphrastic Representations at Scale. | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2021 | NAACL | On Learning Text Style Transfer with Direct Rewards. | Yixin Liu, Graham Neubig, John Wieting |
| 2020 | EMNLP | Reformulating Unsupervised Style Transfer as Paraphrase Generation. | Kalpesh Krishna, John Wieting, Mohit Iyyer |
| 2020 | EMNLP | A Bilingual Generative Transformer for Semantic Sentence Embedding. | John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2019 | ACL | Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. | John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig |
| 2019 | ACL | Simple and Effective Paraphrastic Similarity from Parallel Translations. | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2019 | ICLR | No Training Required: Exploring Random Encoders for Sentence Classification. | John Wieting, Douwe Kiela |
| 2018 | ACL | ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. | John Wieting, Kevin Gimpel |
| 2018 | LREC | CogCompNLP: Your Swiss Army Knife for NLP. | Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth |
| 2018 | NAACL | Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. | Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer |
| 2017 | ACL | Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. | John Wieting, Kevin Gimpel |
| 2017 | EMNLP | Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. | John Wieting, Jonathan Mallinson, Kevin Gimpel |
| 2016 | EMNLP | Charagram: Embedding Words and Sentences via Character n-grams. | John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu |