Publications

You can also find my articles on my Google Scholar profile.

From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop

arXiv (submitted to EACL 2027), 2026

R. Gupta, A. Mohanty, A. Ovalle, A. Ramakrishna, A. Das, A. Verma, J. Dhamala, N. Mehrabi, T. Kumarage, Y. Pruksachatkun, Y. Trista Cao, K. Chang, A. Galstyan

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DECOR: Auditing LLM Deception via Information Manipulation Theory

arXiv, 2026

L. Cai, S. Yeh, J. Dhamala, R. Gupta, S. Li

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LH-Deception: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions

ICLR, 2026

Y. Xu, X. Zhang, M. Yeh, J. Dhamala, O. A. Dia, R. Gupta, Y. Li

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Establishing Best Practices for Building Rigorous Agentic Benchmarks

NeurIPS Datasets and Benchmarks Track, 2025

Y. Zhu, T. Jin, Y. Pruksachatkun, A. Zhang, S. Liu, S. Cui, S. Kapoor, S. Longpre, K. Meng, R. Weiss, F. Barez, R. Gupta, J. Dhamala, J. Merizian, M. Giulianelli, H. Coppock, C. Ududec, J. Sekhon, J. Steinhardt, A. Kellerman, S. Schwettmann, M. Zaharia, I. Stoica, P. Liang, D. Kang

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The Amazon Nova Family of Models: Technical Report and Model Card

arXiv, 2025

Amazon AGI (incl. J. Dhamala)

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Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs

ACL, 2024

E. Markowitz, A. Ramakrishna, J. Dhamala, N. Mehrabi, C. Peris, R. Gupta, K. Chang, A. Galstyan

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JAB: Joint Adversarial Prompting and Belief Augmentation

arXiv, 2023

N. Mehrabi, P. Goyal, A. Ramakrishna, J. Dhamala, S. Ghosh, R. Zemel, K. Chang, A. Galstyan, R. Gupta

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Multi-VALUE: A Framework for Cross-Dialectal English NLP

ACL, 2023

C. Ziems, W. Held, J. Yang, J. Dhamala, R. Gupta, D. Yang

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Resolving Ambiguities in Text-to-Image Generative Models

ACL, 2023

N. Mehrabi, P. Goyal, A. Verma, J. Dhamala, V. Kumar, Q. Hu, K. Chang, R. Zemel, A. Galstyan, R. Gupta

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“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

FAccT, 2023

A. Ovalle, P. Goyal, J. Dhamala, Z. Jaggers, K. Chang, A. Galstyan, R. Zemel, R. Gupta

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On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations

ACL, 2022

Y. Trista Cao, Y. Pruksachatkun, K. Chang, R. Gupta, V. Kumar, J. Dhamala, A. Galstyan

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BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

ACM FAccT, 2021

J. Dhamala, T. Sun, V. Kumar, S. Krishna, Y. Pruksachatkun, K. Chang, R. Gupta

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Embedding High-dimensional Bayesian Optimization via Generative Modeling: Parameter Personalization of Cardiac Electrophysiological Models

Medical Image Analysis (MedIA), 2020

J. Dhamala, H. J. Arevalo, J. L. Sapp, M. Horacek, K. C. Wu, N. A. Trayanova, L. Wang

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Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

MICCAI, 2019

J. Dhamala, J. L. Sapp, M. Horacek, L. Wang

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Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection

IEEE Sensors Letters; NeurIPS ML4H Workshop, 2018

J. Dhamala, E. Azuh, A. Al-Dujaili, J. Rubin, U. O'Reilly

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Quantifying the Uncertainty in Model Parameters using Gaussian Process-Based Markov Chain Monte Carlo in Cardiac Electrophysiology

Medical Image Analysis (MedIA), 2018

J. Dhamala, H. J. Arevalo, J. L. Sapp, M. Horacek, K. C. Wu, N. A. Trayanova, L. Wang

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Jwala Dhamala

Publications

From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop

DECOR: Auditing LLM Deception via Information Manipulation Theory

LH-Deception: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions

Establishing Best Practices for Building Rigorous Agentic Benchmarks

The Amazon Nova Family of Models: Technical Report and Model Card

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs

JAB: Joint Adversarial Prompting and Belief Augmentation

Multi-VALUE: A Framework for Cross-Dialectal English NLP

Resolving Ambiguities in Text-to-Image Generative Models

“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Embedding High-dimensional Bayesian Optimization via Generative Modeling: Parameter Personalization of Cardiac Electrophysiological Models

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection

Quantifying the Uncertainty in Model Parameters using Gaussian Process-Based Markov Chain Monte Carlo in Cardiac Electrophysiology

Patents

Natural language input processing error detection

Cohort determination in natural language processing

Model configuration