Clinical Event Detection with Hybrid Neural Architecture. - Adyasha Maharana; Meliha Yetisgen (BioNLP, 2017)

Using Deep Learning and Satellite Imagery to Quantify the Impact of the Built Environment on Neighborhood Crime Rates. - Adyasha Maharana; Quynh C. Nguyen; Elaine O. Nsoesie (CoRR, 2017)

Using Deep Learning to Examine the Association between the Built Environment and Neighborhood Adult Obesity Prevalence. - Adyasha Maharana; Elaine O. Nsoesie (CoRR, 2017)

A Pragmatic Approach to Information Extraction for Systematic Review. - Adyasha Maharana; Arpit Tandon; Eric Wimberley; Mihir Shah; Ruchir R. Shah; Brian E. Howard (TAC, 2018)

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. - Adyasha Maharana; Mohit Bansal (EMNLP (Findings), 2020)

Use of Technology and Innovations in the COVID-19 Pandemic Response in Africa. - Adyasha Maharana; Morine Amutorine; Moinina David Sengeh; Elaine O. Nsoesie (CoRR, 2020)

Analysis of Tree-Structured Architectures for Code Generation. - Samip Dahal; Adyasha Maharana; Mohit Bansal (ACL/IJCNLP (Findings), 2021)

Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization. - Adyasha Maharana; Mohit Bansal (EMNLP (1), 2021)

Improving Generation and Evaluation of Visual Stories via Semantic Consistency. - Adyasha Maharana; Darryl Hannan; Mohit Bansal (NAACL-HLT, 2021)

GraDA: Graph Generative Data Augmentation for Commonsense Reasoning. - Adyasha Maharana; Mohit Bansal (COLING, 2022)

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. - Adyasha Maharana; Darryl Hannan; Mohit Bansal (ECCV (37), 2022)

On Curriculum Learning for Commonsense Reasoning. - Adyasha Maharana; Mohit Bansal (NAACL-HLT, 2022)

Multimodal Intent Discovery from Livestream Videos. - Adyasha Maharana; Quan Hung Tran; Franck Dernoncourt; Seunghyun Yoon 002; Trung Bui; Walter Chang; Mohit Bansal (NAACL-HLT (Findings), 2022)

Debiasing Multimodal Models via Causal Information Minimization. - Vaidehi Patil; Adyasha Maharana; Mohit Bansal (EMNLP (Findings), 2023)

D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning. - Adyasha Maharana; Prateek Yadav; Mohit Bansal (CoRR, 2023)

Evaluating Very Long-Term Conversational Memory of LLM Agents. - Adyasha Maharana; Dong-Ho Lee; Sergey Tulyakov; Mohit Bansal; Francesco Barbieri; Yuwei Fang (ACL (1), 2024)

D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. - Adyasha Maharana; Prateek Yadav; Mohit Bansal (ICLR, 2024)

Adapt-∞: Scalable Lifelong Multimodal Instruction Tuning via Dynamic Data Selection. - Adyasha Maharana; Jaehong Yoon; Tianlong Chen 001; Mohit Bansal (CoRR, 2024)

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. - Adyasha Maharana; Amita Kamath; Christopher Clark; Mohit Bansal; Aniruddha Kembhavi (Trans. Mach. Learn. Res., 2024)

Data Selection for Generalization in Unimodal & Multimodal Models. - Adyasha Maharana (2024)

Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection. - Adyasha Maharana; Jaehong Yoon; Tianlong Chen 001; Mohit Bansal (ICLR, 2025)

REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation. - Dong-Ho Lee; Adyasha Maharana; Jay Pujara; Xiang Ren 001; Francesco Barbieri (CoRR, 2025)