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ORCIDRohit Saxena
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2020 – today
- 2026
[c15]Xiaotang Du, Giwon Hong, Wai-Chung Kwan, Rohit Saxena, Ivan Titov, Pasquale Minervini, Emily Allaway:
Analyzing LLM Instruction Optimization for Tabular Fact Verification. EACL (Findings) 2026: 3078-3108- [c14]Xiutian Zhao, Rochelle Choenni, Rohit Saxena, Ivan Titov:
Finding Culture-Sensitive Neurons in Vision-Language Models. EACL (Volume 1: Long Papers) 2026: 3366-3381 - [i17]Farooq Ahmad Wani, Alessandro Suglia, Rohit Saxena, Aryo Pradipta Gema, Wai-Chung Kwan, Fazl Barez, Maria Sofia Bucarelli, Fabrizio Silvestri, Pasquale Minervini:
Same Answer, Different Representations: Hidden instability in VLMs. CoRR abs/2602.06652 (2026) - [i16]Xiaotang Du, Giwon Hong, Wai-Chung Kwan, Rohit Saxena, Ivan Titov, Pasquale Minervini, Emily Allaway:
Analyzing LLM Instruction Optimization for Tabular Fact Verification. CoRR abs/2602.17937 (2026) - [i15]Rohit Saxena, Alessandro Suglia, Pasquale Minervini:
VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models. CoRR abs/2603.06148 (2026) - [i14]Matteo Attimonelli, Alessandro De Bellis, Aryo Pradipta Gema, Rohit Saxena, Monica Sekoyan, Wai-Chung Kwan, Claudio Pomo, Alessandro Suglia, Dietmar Jannach, Tommaso Di Noia, Pasquale Minervini:
Do Composed Image Retrieval Benchmarks Require Multimodal Composition? CoRR abs/2605.14787 (2026) - 2025
- [j7]Rohit Saxena, Deepak Arora, Vishal Nagar:
A supervised machine learning-based framework for deanonymisation of Blockchain transactions. Int. J. Electron. Secur. Digit. Forensics 17(4): 535-561 (2025) - [j6]Rohit Saxena, Hao Tang, Frank Keller:
End-to-End Long Document Summarization using Gradient Caching. Trans. Assoc. Comput. Linguistics 13: 1271-1297 (2025) - [c13]Dongqi Liu
, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena, Zheng Zhao, Yifu Qiu, Mirella Lapata, Vera Demberg:
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations. ACL (1) 2025: 6187-6210 - [c12]Xiaotang Du, Rohit Saxena, Laura Perez-Beltrachini, Pasquale Minervini, Ivan Titov:
Enhancing Long Document Long Form Summarisation with Self-Planning. IJCNLP-AACL (Short Papers) 2025: 317-332 - [c11]Rohit Saxena, Pasquale Minervini, Frank Keller:
PosterSum: A Multimodal Benchmark for Scientific Poster Summarization. IJCNLP-AACL (Findings) 2025: 1828-1844 - [c10]Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini:
Are We Done with MMLU? NAACL (Long Papers) 2025: 5069-5096 - [c9]Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Y. Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman:
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly. NeurIPS 2025 - [i13]Rohit Saxena, Hao Tang, Frank Keller:
End-to-End Long Document Summarization using Gradient Caching. CoRR abs/2501.01805 (2025) - [i12]Rohit Saxena, Aryo Pradipta Gema, Pasquale Minervini:
Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs. CoRR abs/2502.05092 (2025) - [i11]Dongqi Liu, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena, Zheng Zhao, Yifu Qiu, Mirella Lapata, Vera Demberg:
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations. CoRR abs/2502.08279 (2025) - [i10]Rohit Saxena, Pasquale Minervini, Frank Keller:
PosterSum: A Multimodal Benchmark for Scientific Poster Summarization. CoRR abs/2502.17540 (2025) - [i9]Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Y. Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman:
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly. CoRR abs/2505.10610 (2025) - [i8]Xiutian Zhao, Rochelle Choenni, Rohit Saxena, Ivan Titov:
Finding Culture-Sensitive Neurons in Vision-Language Models. CoRR abs/2510.24942 (2025) - [i7]Xiaotang Du, Rohit Saxena, Laura Perez-Beltrachini, Pasquale Minervini, Ivan Titov:
Enhancing Long Document Long Form Summarisation with Self-Planning. CoRR abs/2512.17179 (2025) - 2024
- [j5]Rohit Saxena, Deepak Arora, Vishal Nagar, Brijesh Kumar Chaurasia:
Blockchain transaction deanonymization using ensemble learning. Multim. Tools Appl. 83(37): 84589-84618 (2024) - [c8]Rohit Saxena, Frank Keller:
MovieSum: An Abstractive Summarization Dataset for Movie Screenplays. ACL (Findings) 2024: 4043-4050 - [c7]Kamal Singh, Rohit Saxena, Brijesh Kumar:
AI Security: Cyber Threats and Threat-Informed Defense. CSNet 2024: 305-312 - [c6]Rohit Saxena, Frank Keller:
Select and Summarize: Scene Saliency for Movie Script Summarization. NAACL-HLT (Findings) 2024: 3439-3455 - [i6]Rohit Saxena, Frank Keller:
Select and Summarize: Scene Saliency for Movie Script Summarization. CoRR abs/2404.03561 (2024) - [i5]Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini:
The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models. CoRR abs/2404.05904 (2024) - [i4]Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini:
Are We Done with MMLU? CoRR abs/2406.04127 (2024) - [i3]Kritika Lohia, Rijul Saurabh Soans, Rohit Saxena, Tapan Kumar Gandhi:
An interactive framework for the evaluation and detection of stereoacuity threshold under ambient lighting. CoRR abs/2406.18336 (2024) - [i2]Rohit Saxena, Frank Keller:
MovieSum: An Abstractive Summarization Dataset for Movie Screenplays. CoRR abs/2408.06281 (2024) - 2023
- [j4]Rohit Saxena, Deepak Arora, Vishal Nagar:
Classifying blockchain cybercriminal transactions using hyperparameter tuned supervised machine learning models. Int. J. Comput. Sci. Eng. 26(6): 615-626 (2023) - [j3]Rohit Saxena, Deepak Arora, Vishal Nagar:
Efficient blockchain addresses classification through cascading ensemble learning approach. Int. J. Electron. Secur. Digit. Forensics 15(2): 195-210 (2023) - [j2]Rijul S. Soans, Remco J. Renken, Rohit Saxena, Radhika Tandon, Frans W. Cornelissen, Tapan Kumar Gandhi:
A Framework for the Continuous Evaluation of 3D Motion Perception in Virtual Reality. IEEE Trans. Biomed. Eng. 70(10): 2933-2942 (2023) - [c5]Rohit Saxena, Deepak Arora, Vishal Nagar, Satyasundara Mahapatra, Malay Tripathi:
A Hyperparameter Tuned Ensemble Learning Classification of Transactions over Ethereum Blockchain. FICTA (2) 2023: 585-594
2010 – 2019
- 2019
- [i1]Ramit Pahwa, Manoj Ghuhan Arivazhagan, Ankur Garg, Siddarth Krishnamoorthy, Rohit Saxena, Sunav Choudhary:
Data-Driven Compression of Convolutional Neural Networks. CoRR abs/1911.12740 (2019) - 2018
- [c4]Rohit Saxena, Savita Bhat, Niranjan Pedanekar:
EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling. SocialNLP@ACL 2018: 50-55 - 2017
- [j1]Ram Krishna Pandey, Rohit Saxena:
On Some Conjectures about Arithmetic Partial Differential Equations. J. Integer Seq. 20(5): 17.5.2 (2017) - [c3]Rohit Saxena, Niranjan Pedanekar:
I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories. CSCW Companion 2017: 299-302 - [c2]Rohit Saxena, Savita Bhat, Niranjan Pedanekar:
Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts. ICDM Workshops 2017: 1042-1049 - 2015
- [c1]Manish Shukla, Sumesh Manjunath, Rohit Saxena, Sutapa Mondal, Sachin Lodha:
POSTER: WinOver Enterprise Dark Data. CCS 2015: 1674-1676
Coauthor Index
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