A Novel Approach Towards Building a Portable NLIDB System Using the Computational Paninian Grammar Framework. - Abhijeet Gupta; Arjun R. Akula; Deepak Malladi; Puneeth Kukkadapu; Vinay Ainavolu; Rajeev Sangal (IALP, 2012)

A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System. - Arjun R. Akula; Rajeev Sangal; Radhika Mamidi (IJCNLP, 2013)

A Web-Based Virtual Laboratory for Electromagnetic Theory. - Vasu Pulijala; Arjun R. Akula; Syed Azeemuddin (T4E, 2013)

Towards Auto-remediation in Services Delivery: Context-Based Classification of Noisy and Unstructured Tickets. - Gargi Dasgupta; Tapan Kumar Nayak; Arjun R. Akula; Shivali Agarwal; Shripad J. Nadgowda (ICSOC, 2014)

Classification of Attributes in a Natural Language Query into Different SQL Clauses. - Ashish Palakurthi; Ruthu S. M; Arjun R. Akula; Radhika Mamidi (RANLP, 2015)

Desire: Deep Semantic Understanding and Retrieval for Technical Support Services. - Abhirut Gupta; Arjun R. Akula; Gargi Dasgupta; Pooja Aggarwal; Prateeti Mohapatra (ICSOC Workshops, 2016)

Automatic problem extraction and analysis from unstructured text in IT tickets. - Shivali Agarwal; Vishalaksh Aggarwal; Arjun R. Akula; Gargi Banerjee Dasgupta; Giriprasad Sridhara (IBM J. Res. Dev., 2017)

Explainable AI as Collaborative Task Solving. - Arjun R. Akula; Changsong Liu; Sinisa Todorovic; Joyce Y. Chai; Song-Chun Zhu (CVPR Workshops, 2019)

Natural Language Interaction with Explainable AI Models. - Arjun R. Akula; Sinisa Todorovic; Joyce Y. Chai; Song-Chun Zhu (CVPR Workshops, 2019)

Visual Discourse Parsing. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2019)

X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. - Arjun R. Akula; Changsong Liu; Sari Saba-Sadiya; Hongjing Lu; Sinisa Todorovic; Joyce Y. Chai; Song-Chun Zhu (CoRR, 2019)

CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. - Arjun R. Akula; Shuai Wang; Song-Chun Zhu (AAAI, 2020)

Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. - Arjun R. Akula; Spandana Gella; Yaser Al-Onaizan; Song-Chun Zhu; Siva Reddy (ACL, 2020)

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. - Arjun R. Akula; Soravit Changpinyo; Boqing Gong; Piyush Sharma; Song-Chun Zhu; Radu Soricut (EMNLP (1), 2021)

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. - Arjun R. Akula; Spandana Gella; Keze Wang; Song-Chun Zhu; Siva Reddy (EMNLP (1), 2021)

Robust Visual Reasoning via Language Guided Neural Module Networks. - Arjun R. Akula; Varun Jampani; Soravit Changpinyo; Song-Chun Zhu (NeurIPS, 2021)

CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. - Arjun R. Akula; Keze Wang; Changsong Liu; Sari Saba-Sadiya; Hongjing Lu; Sinisa Todorovic; Joyce Chai; Song-Chun Zhu (CoRR, 2021)

ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. - Arjun R. Akula; Spandana Gella; Aishwarya Padmakumar; Mahdi Namazifar; Mohit Bansal; Jesse Thomason; Dilek Hakkani-Tur (EMNLP, 2022)

CPL: Counterfactual Prompt Learning for Vision and Language Models. - Xuehai He; Diji Yang; Weixi Feng; Tsu-Jui Fu; Arjun R. Akula; Varun Jampani; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Wang 061 (EMNLP, 2022)

Effective Representation to Capture Collaboration Behaviors between Explainer and User. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2022)

Discourse Analysis for Evaluating Coherence in Video Paragraph Captions. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2022)

Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding. - Arjun R. Akula (CoRR, 2022)

Attention cannot be an Explanation. - Arjun R. Akula; Song-Chun Zhu (CoRR, 2022)

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. - Zhiwei Jia; Pradyumna Narayana; Arjun R. Akula; Garima Pruthi; Hao Su 001; Sugato Basu; Varun Jampani (ACL (industry), 2023)

MetaCLUE: Towards Comprehensive Visual Metaphors Research. - Arjun R. Akula; Brendan Driscoll; Pradyumna Narayana; Soravit Changpinyo; Zhiwei Jia; Suyash Damle; Garima Pruthi; Sugato Basu; Leonidas J. Guibas; William T. Freeman; Yuanzhen Li; Varun Jampani (CVPR, 2023)

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. - Weixi Feng; Xuehai He; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; Xin Eric Wang; William Yang Wang (ICLR, 2023)

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. - Weixi Feng; Wanrong Zhu; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Xuehai He; Sugato Basu; Xin Eric Wang; William Yang Wang (NeurIPS, 2023)

Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (CoRR, 2023)

PRISM: A New Lens for Improved Color Understanding. - Arjun R. Akula; Garima Pruthi; Inderjit S. Dhillon; Pradyumna Narayana; Sugato Basu; Varun Jampani (EMNLP (Industry Track), 2024)

Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (Trans. Mach. Learn. Res., 2024)

Seeing Beyond: Enhancing Visual Question Answering with Multi-Modal Retrieval. - Boqi Chen; Anuj Khare; Gaurav Kumar; Arjun R. Akula; Pradyumna Narayana (COLING (Industry), 2025)

Visual Intention Grounding for Egocentric Assistants. - Pengzhan Sun 001; Junbin Xiao; Tze Ho Elden Tse; Yicong Li 004; Arjun R. Akula; Angela Yao (CoRR, 2025)

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models. - Arjun R. Akula; Kazuma Hashimoto; Krishna Srinivasan; Aditi Chaudhary; Karthik Raman 001; Michael Bendersky (CoRR, 2025)