Shailza Jolly - RankMe

16 papers A* 1B 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Building Natural Language Generation and Understanding Systems in Data Constrained Settings. Shailza Jolly
2022	J	`jnl`	GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR 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
2022	J	`jnl`	Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. Inf. Shailza Jolly, Pepa Atanasova, Isabelle Augenstein
2022	A*	`conf`	Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. AAAI Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
2021	—	`conf`	EaSe: A Diagnostic Tool for VQA based on Answer Diversity. NAACL-HLT Shailza Jolly, Sandro Pezzelle, Moin Nabi
2021	J	`jnl`	Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. CoRR Shailza Jolly, Pepa Atanasova, Isabelle Augenstein
2021	J	`jnl`	Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. CoRR Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou
2021	J	`jnl`	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR 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
2020	—	`conf`	Can Pre-training help VQA with Lexical Variations? EMNLP (Findings) Shailza Jolly, Shubham Kapoor
2020	—	`conf`	Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems. COLING (Industry) Shailza Jolly, Tobias Falke, Caglar Tirkaz, Daniil Sorokin
2020	J	`jnl`	Leveraging Visual Question Answering to Improve Text-to-Image Synthesis. CoRR Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel
2020	B	`conf`	P ≈ NP, at least in Visual Question Answering. ICPR Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	P ≈ NP, at least in Visual Question Answering. CoRR Shailza Jolly, Sebastian Palacio, Joachim Folz, Federico Raue, Jörn Hees, Andreas Dengel
2018	B	`conf`	How do Convolutional Neural Networks Learn Design? ICPR Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida
2018	J	`jnl`	How do Convolutional Neural Networks Learn Design? CoRR Shailza Jolly, Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida
2018	J	`jnl`	The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. CoRR Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi