Siddhant Gupta

According to our database, Siddhant Gupta authored at least 24 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Counterfactual Fairness Evaluation of LLM-Based Contact Center Agent Quality Assurance System.

Kawin Mayilvaghanan, Siddhant Gupta, Ayush Kumar

CoRR, February, 2026

Birch: A Real-Time Multi-Domain Multi-Task Extended Reality Perception Accelerator.

Kathleen Feng, Kai Bartolone, Kartik Prabhu, Brianna McColm, Xingyu Ni, Siddhant Gupta, Priyanka Raina

IEEE Solid State Circuits Lett., 2026

2025

Smarter, not Bigger: Fine-Tuned RAG-Enhanced LLMs for Automotive HIL Testing.

Chao Feng, Zihan Liu, Siddhant Gupta, Gongpei Cui, Jan von der Assen, Burkhard Stiller

CoRR, November, 2025

Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries.

Kawin Mayilvaghanan, Siddhant Gupta, Ayush Kumar

CoRR, August, 2025

Uncovering Cultural Representation Disparities in Vision-Language Models.

Ram Mohan Rao Kadiyala, Siddhant Gupta, Jebish Purbey, Srishti Yadav, Alejandro Salamanca, Desmond Elliott

CoRR, May, 2025

Robust and Fine-Grained Detection of AI Generated Texts.

Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Kanwal Mehreen, Drishti Sharma, Siddhant Gupta, Jebish Purbey, Ashay Srivastava, Subhasya Tippareddy, Arvind Reddy Bobbili, Suraj Telugara Chandrashekhar, Modabbir Adeeb, Srinadh Vura, Hamza Farooq

CoRR, April, 2025

Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance.

Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Siddhant Gupta, Drishti Sharma, Jebish Purbey, Kanwal Mehreen, Muhammad Arham, Hamza Farooq

CoRR, April, 2025

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies.

Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

IEEE Access, 2025

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia.

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Hieu Minh Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Shi, Yoonchang Sung, Muhammad Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Ríos, Oswaldo Peña, Carlos Rojas, Manuela Chacon-Chamorro, Rubén Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Ruiyang Wu, Chetan Talele, Sunjia Lu, Gema Parreno, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, José Hernández-Orallo, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance.

Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Siddhant Gupta, Jebish Purbey, Drishti Sharma, Kanwal Mehreen, Muhammad Arham, Suman Debnath, Hamza Farooq

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

DSBC : Data Science task Benchmarking with Context engineering.

Ram Mohan Rao Kadiyala, Jebish Purbey, Siddhant Gupta, Giulio Martini, Suman Debnath, Hamza Farooq

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Uncovering Cultural Representation Disparities in Vision-Language Models.

Ram Mohan Rao Kadiyala, Siddhant Gupta, Jebish Purbey, Srishti Yadav, Suman Debnath, Alejandro Salamanca, Desmond Elliott

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization.

Kawin Mayilvaghanan, Siddhant Gupta, Ayush Kumar

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering.

Jebish Purbey, Drishti Sharma, Siddhant Gupta, Khawaja Murad, Siddartha Pullakhandam, Ram Mohan Rao Kadiyala

Proceedings of the 31st International Conference on Computational Linguistics, 2025

1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains.

Jebish Purbey, Siddhant Gupta, Nikhil Manali, Siddartha Pullakhandam, Drishti Sharma, Ashay Srivastava, Ram Mohan Rao Kadiyala

Proceedings of the 31st International Conference on Computational Linguistics, 2025

IITR-CIOL@NLU of Devanagari Script Languages 2025: Multilingual Hate Speech Detection and Target Identification in Devanagari-Scripted Languages.

Siddhant Gupta, Siddh Singhal, Azmine Toushik Wasi

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains.

Jebish Purbey, Siddhant Gupta, Nikhil Manali, Siddartha Pullakhandam, Drishti Sharma, Ashay Srivastava, Ram Mohan Rao Kadiyala

CoRR, 2024

Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection.

Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt

Proceedings of the IEEE International Conference on Big Data, 2024

The Metaverse in Healthcare: The Emerging Future of the Next Generation.

Nidhi Malik, Nisha Arya, Siddhant Gupta

Proceedings of the Metaverse for the Healthcare Industry, 2024

2023

Scheduling Network Function Chains Under Sub-Millisecond Latency SLOs.

Jianfeng Wang, Siddhant Gupta, Marcos A. M. Vieira, Barath Raghavan, Ramesh Govindan

CoRR, 2023

Simulating Our Way to Safer Software: A Tale of Integrating Microarchitecture Simulation and Leakage Estimation Modeling.

Justin Feng, Fatemeh Arkannezhad, Christopher Ryu, Enoch Huang, Siddhant Gupta, Nader Sehatbakhsh

IEEE Comput. Archit. Lett., 2023

2021

Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments.

Siddhant Gupta, Ankur T. Patil, Mirali Purohit, Mihir Parmar, Maitreya Patel, Hemant A. Patil, Rodrigo Capobianco Guido

Neural Networks, 2021

Voice Liveness Detection Using Bump Wavelet with CNN.

Priyanka Gupta, Siddhant Gupta, Hemant A. Patil

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Deep Convolutional Neural Network for Voice Liveness Detection.

Siddhant Gupta, Kuldeep Khoria, Ankur T. Patil, Hemant A. Patil

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021