Sean Welleck

2.3k total citations
22 papers, 583 citations indexed

About

Sean Welleck is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Sean Welleck has authored 22 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Sean Welleck's work include Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (9 papers). Sean Welleck is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (9 papers). Sean Welleck collaborates with scholars based in United States, Switzerland and Israel. Sean Welleck's co-authors include Yejin Choi, Ronan Le Bras, Ximing Lu, Peter West, Kyunghyun Cho, Ilia Kulikov, Hannaneh Hajishirzi, Chandra Bhagavatula, Jiacheng Liu and Stephen Roller and has published in prestigious journals such as arXiv (Cornell University), neural information processing systems and Meeting of the Association for Computational Linguistics.

In The Last Decade

Sean Welleck

21 papers receiving 560 citations

Peers

Sean Welleck

CVPR

Ximing Lu United States

Victor Sanh United States

Canwen Xu United States

Xueguang Ma Canada

Linting Xue United States

Jungo Kasai United States

Alisa Liu United States

Hengyi Cai China

Teven Le Scao United States

Mihir Kale United States

Ximing Lu United States

Sean Welleck

470 ×0.9

131 ×0.9

CVPR

42 ×0.8

18 ×1.2

14 ×0.9

Citations per year, relative to Sean Welleck Sean Welleck (= 1×) peers Ximing Lu

Countries citing papers authored by Sean Welleck

Since Specialization

Citations

This map shows the geographic impact of Sean Welleck's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sean Welleck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Welleck more than expected).

Fields of papers citing papers by Sean Welleck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean Welleck. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sean Welleck. The network helps show where Sean Welleck may publish in the future.

Co-authorship network of co-authors of Sean Welleck

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Welleck. A scholar is included among the top collaborators of Sean Welleck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sean Welleck. Sean Welleck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yue, Xiang, Yizhong Wang, Kiril Gashteovski, et al.. (2025). Evaluating Language Models as Synthetic Data Generators. 6385–6403.

Longpre, Shayne, et al.. (2024). Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. 4334–4353. 6 indexed citations

Lu, Ximing, et al.. (2023). STEER: Unified Style Transfer with Expert Reinforcement. 7546–7562. 1 indexed citations

Lu, Ximing, Peter West, Khyathi Raghavi Chandu, et al.. (2023). Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. 6863–6883. 4 indexed citations

Lu, Pan, Liang Qiu, Wenhao Yu, Sean Welleck, & Kai-Wei Chang. (2023). A Survey of Deep Learning for Mathematical Reasoning. 14605–14631. 23 indexed citations

Liu, Jiacheng, Alisa Liu, Ximing Lu, et al.. (2022). Generated Knowledge Prompting for Commonsense Reasoning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3154–3169. 108 indexed citations

West, Peter, Chandra Bhagavatula, Jack Hessel, et al.. (2022). Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4602–4625. 98 indexed citations

Khashabi, Daniel, Xinxi Lyu, Sewon Min, et al.. (2022). Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3631–3643. 22 indexed citations

Jung, Jaehun, Lianhui Qin, Sean Welleck, et al.. (2022). Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. 1266–1279. 52 indexed citations

10.

Liu, Jiacheng, et al.. (2022). Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. 8938–8958. 23 indexed citations

11.

Mishra, Swaroop, Matthew Finlayson, Pan Lu, et al.. (2022). LILA: A Unified Benchmark for Mathematical Reasoning. 5807–5832. 25 indexed citations

12.

Lu, Ximing, Sean Welleck, Peter West, et al.. (2022). NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 780–799. 30 indexed citations

13.

Welleck, Sean, et al.. (2022). Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8629–8637. 7 indexed citations

14.

Welleck, Sean, Ilia Kulikov, Stephen Roller, et al.. (2020). Neural Text Generation With Unlikelihood Training. International Conference on Learning Representations. 46 indexed citations

15.

Li, Margaret, Stephen Roller, Ilia Kulikov, et al.. (2020). Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training. 4715–4728. 67 indexed citations

16.

Welleck, Sean, et al.. (2020). Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. 5553–5568. 23 indexed citations

17.

Cho, Kyunghyun, et al.. (2019). Non-Monotonic Sequential Text Generation.. Meeting of the Association for Computational Linguistics. 57–59. 1 indexed citations

18.

Welleck, Sean, et al.. (2019). Non-Monotonic Sequential Text Generation. arXiv (Cornell University). 6716–6726. 18 indexed citations

19.

Welleck, Sean, et al.. (2018). Loss Functions for Multiset Prediction. neural information processing systems. 31. 5783–5792. 5 indexed citations

20.

Welleck, Sean, et al.. (2017). Saliency-based Sequential Image Attention with Multiset Prediction. Neural Information Processing Systems. 30. 5173–5183. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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