| Towards addressing the winograd schema challenge—building and using a semantic parser and a knowledge hunting module A Sharma, NH Vo, S Aditya, C Baral IJCAI 2015, 2015 | 106 | 2015 |
| Image understanding using vision and reasoning through scene description graph S Aditya, Y Yang, C Baral, Y Aloimonos, C Fermüller Computer Vision and Image Understanding 173, 33-45, 2018 | 96 | 2018 |
| From images to sentences through scene description graphs using commonsense reasoning and knowledge S Aditya, Y Yang, C Baral, C Fermuller, Y Aloimonos arXiv preprint arXiv:1511.03292, 2015 | 76 | 2015 |
| Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering S Aditya, Y Yang, C Baral AAAI 2018, 2018 | 72 | 2018 |
| Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks A Rao, S Vashistha, A Naik, S Aditya, M Choudhury LREC-COLING 2024, 2023 | 62* | 2023 |
| Integrating knowledge and reasoning in image understanding S Aditya, Y Yang, C Baral IJCAI 2019 Survey Track, 2019 | 56 | 2019 |
| TaxiNLI: Taking a ride up the NLU hill P Joshi, S Aditya, A Sathe, M Choudhury CoNLL 2020, 2020 | 37 | 2020 |
| Visual commonsense for scene understanding using perception, semantic parsing and reasoning S Aditya, Y Yang, C Baral, C Fermuller, Y Aloimonos 2015 AAAI spring symposium series, 2015 | 31 | 2015 |
| Trusting roberta over bert: Insights from checklisting the natural language inference task I Tarunesh, S Aditya, M Choudhury arXiv preprint arXiv:2107.07229, 2021 | 24 | 2021 |
| Spatial Knowledge Distillation to aid Visual Reasoning S Aditya, R Saha, Y Yang, C Baral IEEE WACV 2019, 2019 | 18 | 2019 |
| DeepIU: An Architecture for Image Understanding S Aditya, C Baral, Y Yang, Y Aloimonos, C Fermuller Advances of Cognitive Systems, 2016 | 18* | 2016 |
| Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving S Aditya, Y Yang, C Baral, Y Aloimonos UAI 2018, 2018 | 14* | 2018 |
| Identifying various kinds of event mentions in k-parser output A Sharma, N Vo, S Aditya, C Baral NAACL 2015 3rd Workshop of EVENTS: Definition, Detection, Coreference, and …, 2015 | 13 | 2015 |
| Towards logiglue: A brief survey and a benchmark for analyzing logical reasoning capabilities of language models M Luo, S Kumbhar, M Parmar, N Varshney, P Banerjee, S Aditya, C Baral arXiv preprint arXiv:2310.00836, 2023 | 11 | 2023 |
| Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations P Hong, D Ghosal, N Majumder, S Aditya, R Mihalcea, S Poria arXiv preprint arXiv:2401.09395, 2024 | 10 | 2024 |
| Litmus predictor: An ai assistant for building reliable, high-performing and fair multilingual nlp systems A Srinivasan, G Kholkar, R Kejriwal, T Ganu, S Dandapat, S Sitaram, ... AAAI 2022 System Demonstration, 2022 | 9 | 2022 |
| Analyzing the Nuances of Transformers' Polynomial Simplification Abilities V Agarwal, S Aditya, N Goyal ICLR 2021 MathAI Workshop, 2021 | 8 | 2021 |
| Code Prompting Elicits Conditional Reasoning Abilities in Text+ Code LLMs H Puerto, M Tutek, S Aditya, X Zhu, I Gurevych EMNLP 2024 (Main), 2024 | 5 | 2024 |
| Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance K Karthikeyan, A Sathe, S Aditya, M Choudhury EMNLP 2021 MRL Workshop, 86-95, 2021 | 5 | 2021 |
| Explainable Image Understanding Using Vision and Reasoning S Aditya 2017 AAAI Doctoral Consortium, 2017 | 5 | 2017 |
Chitta BaralProfessor of Computer Science, Arizona State University在 asu.edu 的电子邮件经过验证
