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Vipul Raheja
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2020 – today
- 2024
- [c18]Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim, Dongyeop Kang:
Benchmarking Cognitive Biases in Large Language Models as Evaluators. ACL (Findings) 2024: 517-545 - [c17]Zae Myung Kim, Kwang Hee Lee, Preston Zhu, Vipul Raheja, Dongyeop Kang:
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs. ACL (1) 2024: 5449-5474 - [c16]Minsuk Chang, John Joon Young Chung, Katy Ilonka Gero, Ting-Hao Kenneth Huang, Dongyeop Kang, Vipul Raheja, Sarah Sterman, Thiemo Wambsganss:
Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants - The Third Workshop on Intelligent and Interactive Writing Assistants. CHI Extended Abstracts 2024: 464:1-464:6 - [c15]Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CHI 2024: 1054:1-1054:35 - [c14]Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar:
mEdIT: Multilingual Text Editing via Instruction Tuning. NAACL-HLT 2024: 979-1001 - [c13]Jierui Li, Vipul Raheja, Dhruv Kumar:
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models. NAACL-HLT 2024: 6509-6523 - [i19]Bashar Alhafni, Vivek Kulkarni, Dhruv Kumar, Vipul Raheja:
Personalized Text Generation with Fine-Grained Linguistic Control. CoRR abs/2402.04914 (2024) - [i18]Zae Myung Kim, Kwang Hee Lee, Preston Zhu, Vipul Raheja, Dongyeop Kang:
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs. CoRR abs/2402.10586 (2024) - [i17]Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar:
mEdIT: Multilingual Text Editing via Instruction Tuning. CoRR abs/2402.16472 (2024) - [i16]Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CoRR abs/2403.14117 (2024) - [i15]Aman Saini, Artem Chernodub, Vipul Raheja, Vivek Kulkarni:
Spivavtor: An Instruction Tuned Ukrainian Text Editing Model. CoRR abs/2404.18880 (2024) - 2023
- [c12]Minsuk Chang, John Joon Young Chung, Katy Ilonka Gero, Ting-Hao Kenneth Huang, Dongyeop Kang, Mina Lee, Vipul Raheja, Thiemo Wambsganss:
The Second Workshop on Intelligent and Interactive Writing Assistants. CHI Extended Abstracts 2023: 369:1-369:5 - [c11]Dhruv Kumar, Vipul Raheja, Alice Kaiser-Schatzlein, Robyn Perry, Apurva Joshi, Justin Hugues-Nuger, Samuel Lou, Navid Chowdhury:
Speakerly: A Voice-based Writing Assistant for Text Composition. EMNLP (Industry Track) 2023: 396-407 - [c10]Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang:
CoEdIT: Text Editing by Task-Specific Instruction Tuning. EMNLP (Findings) 2023: 5274-5291 - [i14]Vivek Kulkarni, Vipul Raheja:
Writing Assistants Should Model Social Factors of Language. CoRR abs/2303.16275 (2023) - [i13]Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang:
CoEdIT: Text Editing by Task-Specific Instruction Tuning. CoRR abs/2305.09857 (2023) - [i12]Oleksandr Yermilov, Vipul Raheja, Artem Chernodub:
Privacy- and Utility-Preserving NLP with Anonymized Data: A case study of Pseudonymization. CoRR abs/2306.05561 (2023) - [i11]Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim, Dongyeop Kang:
Benchmarking Cognitive Biases in Large Language Models as Evaluators. CoRR abs/2309.17012 (2023) - [i10]Dhruv Kumar, Vipul Raheja, Alice Kaiser-Schatzlein, Robyn Perry, Apurva Joshi, Justin Hugues-Nuger, Samuel Lou, Navid Chowdhury:
Speakerly: A Voice-based Writing Assistant for Text Composition. CoRR abs/2310.16251 (2023) - [i9]Jierui Li, Vipul Raheja, Dhruv Kumar:
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models. CoRR abs/2311.09182 (2023) - 2022
- [c9]Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang:
Understanding Iterative Revision from Human-Written Text. ACL (1) 2022: 3573-3590 - [c8]Zae Myung Kim, Wanyu Du, Vipul Raheja, Dhruv Kumar, Dongyeop Kang:
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks. EMNLP 2022: 9986-9999 - [i8]Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang:
Understanding Iterative Revision from Human-Written Text. CoRR abs/2203.03802 (2022) - [i7]Wanyu Du, Zae Myung Kim, Vipul Raheja, Dhruv Kumar, Dongyeop Kang:
Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision. CoRR abs/2204.03685 (2022) - [i6]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i5]Zae Myung Kim, Wanyu Du, Vipul Raheja, Dhruv Kumar, Dongyeop Kang:
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks. CoRR abs/2212.01350 (2022) - 2021
- [c7]Kostiantyn Omelianchuk, Vipul Raheja, Oleksandr Skurzhanskyi:
Text Simplification by Tagging. BEA@EACL 2021: 11-25 - [i4]Kostiantyn Omelianchuk, Vipul Raheja, Oleksandr Skurzhanskyi:
Text Simplification by Tagging. CoRR abs/2103.05070 (2021) - 2020
- [c6]Vipul Raheja, Dimitris Alikaniotis:
Adversarial Grammatical Error Correction. EMNLP (Findings) 2020: 3075-3087 - [i3]Vipul Raheja, Dimitrios Alikaniotis:
Adversarial Grammatical Error Correction. CoRR abs/2010.02407 (2020)
2010 – 2019
- 2019
- [c5]Dimitris Alikaniotis, Vipul Raheja, Joel R. Tetreault:
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction. BEA@ACL 2019: 127-133 - [c4]Vipul Raheja, Joel R. Tetreault:
Dialogue Act Classification with Context-Aware Self-Attention. NAACL-HLT (1) 2019: 3727-3733 - [i2]Vipul Raheja, Joel R. Tetreault:
Dialogue Act Classification with Context-Aware Self-Attention. CoRR abs/1904.02594 (2019) - [i1]Dimitris Alikaniotis, Vipul Raheja:
The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction. CoRR abs/1906.01733 (2019) - 2013
- [c3]Vipul Raheja, Krishnan Sundara Rajan:
Disease Occurrence Prediction Based on Spatio-temporal Characterization - A Mesoscale Study for Knowledge and Pattern Discovery. DaWaK 2013: 277-284 - 2012
- [c2]Vipul Raheja, Krishnan Sundara Rajan:
Risk analysis based on spatio-temporal characterization: a case study of disease risk mapping. HealthGIS 2012: 48-56 - [c1]Vipul Raheja, Krishnan Sundara Rajan:
Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-temporal Disease Occurrences Patterns. ICDM Workshops 2012: 813-820
Coauthor Index
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last updated on 2024-09-26 00:56 CEST by the dblp team
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