Arjun R. Akula

41 papers A* 8A 1B 1Misc 1Journal 19Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Refract ICL: Rethinking Example Selection in the Era of Million-Token Models. CoRR Arjun R. Akula, Kazuma Hashimoto, Krishna Srinivasan, Aditi Chaudhary, Karthik Raman, Michael Bendersky
2025	—	`conf`	Seeing Beyond: Enhancing Visual Question Answering with Multi-Modal Retrieval. COLING (Industry) Boqi Chen, Anuj Khare, Gaurav Kumar, Arjun R. Akula, Pradyumna Narayana
2025	J	`jnl`	Visual Intention Grounding for Egocentric Assistants. CoRR Pengzhan Sun, Junbin Xiao, Tze Ho Elden Tse, Yicong Li, Arjun R. Akula, Angela Yao
2024	J	`jnl`	Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. Trans. Mach. Learn. Res. Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
2024	—	`conf`	PRISM: A New Lens for Improved Color Understanding. EMNLP (Industry Track) Arjun R. Akula, Garima Pruthi, Inderjit S. Dhillon, Pradyumna Narayana, Sugato Basu, Varun Jampani
2023	J	`jnl`	Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
2023	—	`conf`	KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. ACL (industry) Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani
2023	J	`jnl`	KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. CoRR Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani
2023	A*	`conf`	LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
2023	J	`jnl`	LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
2023	A*	`conf`	MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR 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
2023	A*	`conf`	Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. ICLR Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
2022	A*	`conf`	ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. EMNLP Arjun R. Akula, Spandana Gella, Aishwarya Padmakumar, Mahdi Namazifar, Mohit Bansal, Jesse Thomason, Dilek Hakkani-Tur
2022	J	`jnl`	Attention cannot be an Explanation. CoRR Arjun R. Akula, Song-Chun Zhu
2022	A*	`conf`	CPL: Counterfactual Prompt Learning for Vision and Language Models. EMNLP Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang
2022	J	`jnl`	CPL: Counterfactual Prompt Learning for Vision and Language Models. CoRR Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
2022	J	`jnl`	Discourse Analysis for Evaluating Coherence in Video Paragraph Captions. CoRR Arjun R. Akula, Song-Chun Zhu
2022	J	`jnl`	Effective Representation to Capture Collaboration Behaviors between Explainer and User. CoRR Arjun R. Akula, Song-Chun Zhu
2022	J	`jnl`	MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR 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
2022	—	`ed.`	Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022 Insights@ACL Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula
2022	J	`jnl`	Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding. CoRR Arjun R. Akula
2022	J	`jnl`	Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. CoRR Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
2021	J	`jnl`	CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu
2021	—	`conf`	CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. EMNLP (1) Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut
2021	—	`conf`	Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. EMNLP (1) Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy
2021	A*	`conf`	Robust Visual Reasoning via Language Guided Neural Module Networks. NeurIPS Arjun R. Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu
2020	A*	`conf`	CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. AAAI Arjun R. Akula, Shuai Wang, Song-Chun Zhu
2020	A*	`conf`	Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. ACL Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy
2020	J	`jnl`	Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions. CoRR Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy
2019	—	`conf`	Explainable AI as Collaborative Task Solving. CVPR Workshops Arjun R. Akula, Changsong Liu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
2019	—	`conf`	Natural Language Interaction with Explainable AI Models. CVPR Workshops Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
2019	J	`jnl`	Natural Language Interaction with Explainable AI Models. CoRR Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
2019	J	`jnl`	Visual Discourse Parsing. CoRR Arjun R. Akula, Song-Chun Zhu
2019	J	`jnl`	X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. CoRR Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
2017	J	`jnl`	Automatic problem extraction and analysis from unstructured text in IT tickets. IBM J. Res. Dev. Shivali Agarwal, Vishalaksh Aggarwal, Arjun R. Akula, Gargi Banerjee Dasgupta, Giriprasad Sridhara
2016	—	`conf`	Desire: Deep Semantic Understanding and Retrieval for Technical Support Services. ICSOC Workshops Abhirut Gupta, Arjun R. Akula, Gargi Dasgupta, Pooja Aggarwal, Prateeti Mohapatra
2015	Misc	`conf`	Classification of Attributes in a Natural Language Query into Different SQL Clauses. RANLP Ashish Palakurthi, Ruthu S. M, Arjun R. Akula, Radhika Mamidi
2014	A	`conf`	Towards Auto-remediation in Services Delivery: Context-Based Classification of Noisy and Unstructured Tickets. ICSOC Gargi Dasgupta, Tapan Kumar Nayak, Arjun R. Akula, Shivali Agarwal, Shripad J. Nadgowda
2013	B	`conf`	A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System. IJCNLP Arjun R. Akula, Rajeev Sangal, Radhika Mamidi
2013	—	`conf`	A Web-Based Virtual Laboratory for Electromagnetic Theory. T4E Vasu Pulijala, Arjun R. Akula, Syed Azeemuddin
2012	—	`conf`	A Novel Approach Towards Building a Portable NLIDB System Using the Computational Paninian Grammar Framework. IALP Abhijeet Gupta, Arjun R. Akula, Deepak Malladi, Puneeth Kukkadapu, Vinay Ainavolu, Rajeev Sangal