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ORCIDAdyasha Maharana
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2020 – today
- 2024
[b1]Adyasha Maharana:
Data Selection for Generalization in Unimodal & Multimodal Models. University of North Carolina, Chapel Hill, USA, 2024- [j1]Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi:
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c12]Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang:
Evaluating Very Long-Term Conversational Memory of LLM Agents. ACL (1) 2024: 13851-13870 - [c11]Adyasha Maharana, Prateek Yadav, Mohit Bansal:
D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. ICLR 2024 - [i12]Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang:
Evaluating Very Long-Term Conversational Memory of LLM Agents. CoRR abs/2402.17753 (2024) - 2023
- [c10]Vaidehi Patil, Adyasha Maharana, Mohit Bansal:
Debiasing Multimodal Models via Causal Information Minimization. EMNLP (Findings) 2023: 4108-4123 - [i11]Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi:
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. CoRR abs/2303.16133 (2023) - [i10]Adyasha Maharana, Prateek Yadav, Mohit Bansal:
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning. CoRR abs/2310.07931 (2023) - [i9]Vaidehi Patil, Adyasha Maharana, Mohit Bansal:
Debiasing Multimodal Models via Causal Information Minimization. CoRR abs/2311.16941 (2023) - 2022
- [c9]Adyasha Maharana, Mohit Bansal:
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning. COLING 2022: 4499-4516 - [c8]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. ECCV (37) 2022: 70-87 - [c7]Adyasha Maharana, Quan Hung Tran, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Mohit Bansal:
Multimodal Intent Discovery from Livestream Videos. NAACL-HLT (Findings) 2022: 476-489 - [c6]Adyasha Maharana, Mohit Bansal:
On Curriculum Learning for Commonsense Reasoning. NAACL-HLT 2022: 983-992 - [i8]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. CoRR abs/2209.06192 (2022) - 2021
- [c5]Samip Dahal, Adyasha Maharana, Mohit Bansal:
Analysis of Tree-Structured Architectures for Code Generation. ACL/IJCNLP (Findings) 2021: 4382-4391 - [c4]Adyasha Maharana, Mohit Bansal:
Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization. EMNLP (1) 2021: 6772-6786 - [c3]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
Improving Generation and Evaluation of Visual Stories via Semantic Consistency. NAACL-HLT 2021: 2427-2442 - [i7]Adyasha Maharana, Darryl Hannan, Mohit Bansal:
Improving Generation and Evaluation of Visual Stories via Semantic Consistency. CoRR abs/2105.10026 (2021) - [i6]Adyasha Maharana, Mohit Bansal:
Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization. CoRR abs/2110.10834 (2021) - 2020
- [c2]Adyasha Maharana, Mohit Bansal:
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. EMNLP (Findings) 2020: 3723-3738 - [i5]Adyasha Maharana, Mohit Bansal:
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. CoRR abs/2004.06076 (2020) - [i4]Adyasha Maharana, Morine Amutorine, Moinina David Sengeh, Elaine O. Nsoesie:
Use of Technology and Innovations in the COVID-19 Pandemic Response in Africa. CoRR abs/2012.07741 (2020)
2010 – 2019
- 2018
- [i3]Adyasha Maharana, Arpit Tandon, Eric Wimberley, Mihir Shah, Ruchir R. Shah, Brian E. Howard:
A Pragmatic Approach to Information Extraction for Systematic Review. TAC 2018 - 2017
- [c1]Adyasha Maharana, Meliha Yetisgen:
Clinical Event Detection with Hybrid Neural Architecture. BioNLP 2017: 351-355 - [i2]Adyasha Maharana, Quynh C. Nguyen, Elaine O. Nsoesie:
Using Deep Learning and Satellite Imagery to Quantify the Impact of the Built Environment on Neighborhood Crime Rates. CoRR abs/1710.05483 (2017) - [i1]Adyasha Maharana, Elaine O. Nsoesie:
Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence. CoRR abs/1711.00885 (2017)
Coauthor Index
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last updated on 2024-09-26 01:55 CEST by the dblp team
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