Deval Pandya

According to our database, Deval Pandya authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data.

Masoumeh Shafieinejad, Xi He, Mahshid Alinoori, John Taylor Jewell, Sana Ayromlou, Wei Pang, Veronica Chatrath, Garui Sharma, Deval Pandya

CoRR, March, 2026

RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models.

Xinting Liao, Ruinan Jin, Hanlin Yu, Deval Pandya, Xiaoxiao Li

CoRR, February, 2026

SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding.

Ahmed Y. Radwan, Christos Emmanouilidis, Hina Tabassum, Deval Pandya, Shaina Raza

CoRR, January, 2026

Sustainable Open-Source AI Requires Tracking the Cumulative Footprint of Derivatives.

Shaina Raza, Iuliia Eyriay, Ahmed Y. Radwan, Nathaniel Lesperance, Deval Pandya, Sedef Akinli Koçak, Graham W. Taylor

CoRR, January, 2026

2025

Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods.

Shaina Raza, Rizwan Qureshi, Marcelo Lotif, Aman Chadha, Deval Pandya, Christos Emmanouilidis

CoRR, May, 2025

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation.

Shaina Raza, Aravind Narayanan, Vahid Reza Khazaie, Ashmal Vayani, Mukund S. Chettiar, Amandeep Singh, Mubarak Shah, Deval Pandya

CoRR, May, 2025

The FAIIR conversational AI agent assistant for youth mental health service provision.

Stephen Obadinma, Alia Lachana, Maia Leigh Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi

npj Digit. Medicine, 2025

MLHOps: Machine Learning Health Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloé Pou-Prom, Sedef Akinli Koçak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

IEEE Access, 2025

2024

FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?

Shaina Raza, Shardul Ghuge, Chen Ding, Elham Dolatabadi, Deval Pandya

Data Intell., 2024

Practical Guide for Causal Pathways and Sub-group Disparity Analysis.

Farnaz Kohankhaki, Shaina Raza, Oluwanifemi Bamgbose, Deval Pandya, Elham Dolatabadi

CoRR, 2024

The FAIIR Tool: A Conversational AI Agent Assistant for Youth Mental Health Service Provision.

Stephen Obadinma, Alia Lachana, Maia Norman, Jocelyn Rankin, Joanna Yu, Xiaodan Zhu, Darren Mastropaolo, Deval Pandya, Roxana Sultan, Elham Dolatabadi

CoRR, 2024

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

Shaina Raza, Shardul Ghuge, Chen Ding, Deval Pandya

CoRR, 2024

2023

Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts.

Shaina Raza, Chen Ding, Deval Pandya

CoRR, 2023

Soft-prompt Tuning for Large Language Models to Evaluate Bias.

Jacob-Junqi Tian, David Emerson, Sevil Zanjani Miyandoab, Deval Pandya, Laleh Seyyed-Kalantari, Faiza Khan Khattak

CoRR, 2023

MLHOps: Machine Learning for Healthcare Operations.

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

CoRR, 2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi

CoRR, 2023