| 2025 | ICLR | Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection. | Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal |
| 2024 | ACL | Evaluating Very Long-Term Conversational Memory of LLM Agents. | Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang |
| 2024 | ICLR | D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. | Adyasha Maharana, Prateek Yadav, Mohit Bansal |
| 2023 | EMNLP | Debiasing Multimodal Models via Causal Information Minimization. | Vaidehi Patil, Adyasha Maharana, Mohit Bansal |
| 2022 | COLING | GraDA: Graph Generative Data Augmentation for Commonsense Reasoning. | Adyasha Maharana, Mohit Bansal |
| 2022 | ECCV | StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. | Adyasha Maharana, Darryl Hannan, Mohit Bansal |
| 2022 | NAACL | On Curriculum Learning for Commonsense Reasoning. | Adyasha Maharana, Mohit Bansal |
| 2022 | NAACL | Multimodal Intent Discovery from Livestream Videos. | Adyasha Maharana, Quan Hung Tran, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Mohit Bansal |
| 2021 | ACL | Analysis of Tree-Structured Architectures for Code Generation. | Samip Dahal, Adyasha Maharana, Mohit Bansal |
| 2021 | EMNLP | Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization. | Adyasha Maharana, Mohit Bansal |
| 2021 | NAACL | Improving Generation and Evaluation of Visual Stories via Semantic Consistency. | Adyasha Maharana, Darryl Hannan, Mohit Bansal |
| 2020 | EMNLP | Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. | Adyasha Maharana, Mohit Bansal |