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Varun Gangal
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2020 – today
- 2024
- [i25]Dongxu Zhang, Varun Gangal, Barrett Martin Lattimer, Yi Yang:
Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses. CoRR abs/2407.05474 (2024) - 2023
- [c19]Sedrick Scott Keh, Steven Y. Feng, Varun Gangal, Malihe Alikhani, Eduard H. Hovy:
PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically. EACL 2023: 491-504 - [i24]Sarin Chandy, Varun Gangal, Yi Yang, Gabriel Maggiotti:
DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers. CoRR abs/2312.06881 (2023) - 2022
- [c18]Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal:
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. AAAI 2022: 10618-10626 - [c17]Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy:
NAREOR: The Narrative Reordering Problem. AAAI 2022: 10645-10653 - [c16]Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani, Eduard H. Hovy:
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation. COLING 2022: 6270-6284 - [i23]Sedrick Scott Keh, Steven Y. Feng, Varun Gangal, Malihe Alikhani, Eduard H. Hovy:
PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically. CoRR abs/2209.06275 (2022) - [i22]Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani, Eduard H. Hovy:
PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation. CoRR abs/2209.07752 (2022) - [i21]Sedrick Scott Keh, Rohit Bharadwaj, Emmy Liu, Simone Tedeschi, Varun Gangal, Roberto Navigli:
EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation. CoRR abs/2210.12846 (2022) - 2021
- [c15]Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy:
A Survey of Data Augmentation Approaches for NLP. ACL/IJCNLP (Findings) 2021: 968-988 - [c14]Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. ACL/IJCNLP (Findings) 2021: 4079-4090 - [c13]Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. EMNLP (1) 2021: 583-594 - [c12]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. EMNLP (1) 2021: 7476-7485 - [c11]Steven Y. Feng, Jessica Huynh, Chaitanya Prasad Narisetty, Eduard H. Hovy, Varun Gangal:
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation. INLG 2021: 212-225 - [c10]Simon Mille, Kaustubh D. Dhole, Saad Mahamood, Laura Perez-Beltrachini, Varun Gangal, Mihir Sanjay Kale, Emiel van Miltenburg, Sebastian Gehrmann:
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets. NeurIPS Datasets and Benchmarks 2021 - [i20]Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu
, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei
, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i19]Varun Gangal, Steven Y. Feng, Eduard H. Hovy, Teruko Mitamura:
NAREOR: The Narrative Reordering Problem. CoRR abs/2104.06669 (2021) - [i18]Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy:
A Survey of Data Augmentation Approaches for NLP. CoRR abs/2105.03075 (2021) - [i17]Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. CoRR abs/2106.02833 (2021) - [i16]Simon Mille, Kaustubh D. Dhole, Saad Mahamood, Laura Perez-Beltrachini, Varun Gangal, Mihir Sanjay Kale, Emiel van Miltenburg, Sebastian Gehrmann:
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets. CoRR abs/2106.09069 (2021) - [i15]Steven Y. Feng, Jessica Huynh, Chaitanya Narisetty, Eduard H. Hovy, Varun Gangal:
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation. CoRR abs/2108.06643 (2021) - [i14]Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal:
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. CoRR abs/2109.03892 (2021) - [i13]Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. CoRR abs/2109.10856 (2021) - [i12]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. CoRR abs/2110.00687 (2021) - [i11]Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo
, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski
, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [c9]Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta:
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog. AAAI 2020: 7764-7771 - [c8]Xiang Kong, Varun Gangal, Eduard H. Hovy:
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations. ACL 2020: 5668-5683 - [c7]Varun Gangal, Eduard H. Hovy:
BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset. BlackboxNLP@EMNLP 2020: 1-10 - [i10]Xiang Kong, Varun Gangal, Eduard H. Hovy:
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations. CoRR abs/2004.12934 (2020) - [i9]Steven Y. Feng, Varun Gangal, Dongyeop Kang, Teruko Mitamura, Eduard H. Hovy:
GenAug: Data Augmentation for Finetuning Text Generators. CoRR abs/2010.01794 (2020) - [i8]Varun Gangal, Eduard H. Hovy:
BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset. CoRR abs/2010.04098 (2020)
2010 – 2019
- 2019
- [c6]Dongyeop Kang, Varun Gangal, Eduard H. Hovy:
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas. EMNLP/IJCNLP (1) 2019: 1696-1706 - [i7]Eduard H. Hovy, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alex Hauptmann, Florian Metze, Teruko Mitamura, Zaid Sheikh, Ankit Dangi, Aditi Chaudhary, Xianyang Chen, Xiang Kong, Bernie Huang, Salvador Medina, Hector Liu, Xuezhe Ma, Maria Ryskina, Ramon Sanabria, Varun Gangal:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2019 - [i6]Dongyeop Kang, Varun Gangal, Eduard H. Hovy:
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas. CoRR abs/1909.00098 (2019) - [i5]Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta:
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog. CoRR abs/1912.12800 (2019) - 2018
- [c5]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick:
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. ACL (1) 2018: 1661-1671 - 2017
- [c4]Dongyeop Kang
, Varun Gangal, Ang Lu, Zheng Chen, Eduard H. Hovy:
Detecting and Explaining Causes From Text For a Time Series Event. EMNLP 2017: 2758-2767 - [c3]Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg:
Charmanteau: Character Embedding Models For Portmanteau Creation. EMNLP 2017: 2917-2922 - [i4]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Eric Nyberg:
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models. CoRR abs/1707.01161 (2017) - [i3]Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg:
CharManteau: Character Embedding Models For Portmanteau Creation. CoRR abs/1707.01176 (2017) - [i2]Dongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen, Eduard H. Hovy:
Detecting and Explaining Causes From Text For a Time Series Event. CoRR abs/1707.08852 (2017) - 2016
- [c2]Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam:
Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version). AAAI 2016: 4212- - [c1]Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam:
HEMI: Hyperedge Majority Influence Maximization. SocInf@IJCAI 2016: 38-47 - [i1]Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam:
HEMI: Hyperedge Majority Influence Maximization. CoRR abs/1606.05065 (2016)
Coauthor Index
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