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ORCIDArjun R. Akula
Person information
- affiliation: Google DeepMind
- affiliation (PhD 2021): University of California Los Angeles, CA, USA
- affiliation (2014 - 2016): IBM Research, Bangalore, India
- affiliation (2008 - 2014): International Institute of Information Technology Hyderabad, India
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2020 – today
- 2025
[c21]Boqi Chen, Anuj Khare, Gaurav Kumar, Arjun R. Akula, Pradyumna Narayana:
Seeing Beyond: Enhancing Visual Question Answering with Multi-Modal Retrieval. COLING (Industry) 2025: 410-421- [i17]Pengzhan Sun, Junbin Xiao, Tze Ho Elden Tse, Yicong Li, Arjun R. Akula, Angela Yao:
Visual Intention Grounding for Egocentric Assistants. CoRR abs/2504.13621 (2025) - [i16]Arjun R. Akula, Kazuma Hashimoto, Krishna Srinivasan, Aditi Chaudhary, Karthik Raman, Michael Bendersky:
Refract ICL: Rethinking Example Selection in the Era of Million-Token Models. CoRR abs/2506.12346 (2025) - 2024
- [j2]Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang:
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. Trans. Mach. Learn. Res. 2024 (2024) - [c20]Arjun R. Akula, Garima Pruthi, Inderjit S. Dhillon, Pradyumna Narayana, Sugato Basu, Varun Jampani:
PRISM: A New Lens for Improved Color Understanding. EMNLP (Industry Track) 2024: 1659-1670 - 2023
- [c19]Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani:
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. ACL (industry) 2023: 772-785 - [c18]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:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR 2023: 23201-23211 - [c17]Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang:
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. ICLR 2023 - [c16]Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang:
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS 2023 - [i15]Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang:
Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR abs/2305.10722 (2023) - [i14]Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang:
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR abs/2305.15393 (2023) - [i13]Zhiwei Jia, Pradyumna Narayana, Arjun R. Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani:
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. CoRR abs/2305.18373 (2023) - 2022
- [c15]Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang:
CPL: Counterfactual Prompt Learning for Vision and Language Models. EMNLP 2022: 3407-3418 - [c14]Arjun R. Akula, Spandana Gella, Aishwarya Padmakumar, Mahdi Namazifar, Mohit Bansal, Jesse Thomason, Dilek Hakkani-Tur:
ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. EMNLP 2022: 9369-9378 - [e1]Shabnam Tafreshi, João Sedoc, Anna Rogers, Aleksandr Drozd, Anna Rumshisky, Arjun R. Akula:
Proceedings of the Third Workshop on Insights from Negative Results in NLP, Insights@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-40-7 [contents] - [i12]Arjun R. Akula, Song-Chun Zhu:
Effective Representation to Capture Collaboration Behaviors between Explainer and User. CoRR abs/2201.03147 (2022) - [i11]Arjun R. Akula, Song-Chun Zhu:
Discourse Analysis for Evaluating Coherence in Video Paragraph Captions. CoRR abs/2201.06207 (2022) - [i10]Arjun R. Akula:
Question Generation for Evaluating Cross-Dataset Shifts in Multi-modal Grounding. CoRR abs/2201.09639 (2022) - [i9]Arjun R. Akula, Song-Chun Zhu:
Attention cannot be an Explanation. CoRR abs/2201.11194 (2022) - [i8]Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang:
CPL: Counterfactual Prompt Learning for Vision and Language Models. CoRR abs/2210.10362 (2022) - [i7]Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang:
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. CoRR abs/2212.05032 (2022) - [i6]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:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR abs/2212.09898 (2022) - 2021
- [c13]Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut:
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. EMNLP (1) 2021: 2148-2166 - [c12]Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy:
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. EMNLP (1) 2021: 6398-6416 - [c11]Arjun R. Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu:
Robust Visual Reasoning via Language Guided Neural Module Networks. NeurIPS 2021: 11041-11053 - [i5]Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu:
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. CoRR abs/2109.01401 (2021) - 2020
- [c10]Arjun R. Akula, Shuai Wang, Song-Chun Zhu:
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. AAAI 2020: 2594-2601 - [c9]Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy:
Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. ACL 2020: 6555-6565 - [i4]Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy:
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions. CoRR abs/2005.01655 (2020)
2010 – 2019
- 2019
- [c8]Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. CVPR Workshops 2019: 87-90 - [c7]Arjun R. Akula, Changsong Liu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Explainable AI as Collaborative Task Solving. CVPR Workshops 2019: 91-94 - [i3]Arjun R. Akula, Song-Chun Zhu:
Visual Discourse Parsing. CoRR abs/1903.02252 (2019) - [i2]Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. CoRR abs/1903.05720 (2019) - [i1]Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust. CoRR abs/1909.06907 (2019) - 2017
- [j1]Shivali Agarwal, Vishalaksh Aggarwal, Arjun R. Akula, Gargi Banerjee Dasgupta, Giriprasad Sridhara:
Automatic problem extraction and analysis from unstructured text in IT tickets. IBM J. Res. Dev. 61(1): 4:41-4:52 (2017) - 2016
- [c6]Abhirut Gupta, Arjun R. Akula, Gargi Dasgupta, Pooja Aggarwal, Prateeti Mohapatra:
Desire: Deep Semantic Understanding and Retrieval for Technical Support Services. ICSOC Workshops 2016: 207-210 - 2015
- [c5]Ashish Palakurthi, Ruthu S. M, Arjun R. Akula, Radhika Mamidi:
Classification of Attributes in a Natural Language Query into Different SQL Clauses. RANLP 2015: 497-506 - 2014
- [c4]Gargi Dasgupta, Tapan Kumar Nayak, Arjun R. Akula, Shivali Agarwal, Shripad J. Nadgowda:
Towards Auto-remediation in Services Delivery: Context-Based Classification of Noisy and Unstructured Tickets. ICSOC 2014: 478-485 - 2013
- [c3]Arjun R. Akula, Rajeev Sangal, Radhika Mamidi:
A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System. IJCNLP 2013: 1216-1222 - [c2]Vasu Pulijala, Arjun R. Akula, Syed Azeemuddin:
A Web-Based Virtual Laboratory for Electromagnetic Theory. T4E 2013: 13-18 - 2012
- [c1]Abhijeet Gupta, Arjun R. Akula, Deepak Malladi, Puneeth Kukkadapu, Vinay Ainavolu, Rajeev Sangal:
A Novel Approach Towards Building a Portable NLIDB System Using the Computational Paninian Grammar Framework. IALP 2012: 93-96
Coauthor Index
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last updated on 2025-09-27 03:46 CEST by the dblp team
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