Classification of emotional content of sighs in dyadic human interactions. - Rahul Gupta 001; Chi-Chun Lee; Shrikanth S. Narayanan (ICASSP, 2012)

Acoustical analysis of engagement behavior in children. - Rahul Gupta 001; Chi-Chun Lee; Daniel Bone; Agata Rozga; Sungbok Lee; Shrikanth S. Narayanan (WOCCI, 2012)

Paralinguistic event detection from speech using probabilistic time-series smoothing and masking. - Rahul Gupta 001; Kartik Audhkhasi; Sungbok Lee; Shrikanth S. Narayanan (INTERSPEECH, 2013)

Training ensemble of diverse classifiers on feature subsets. - Rahul Gupta 001; Kartik Audhkhasi; Shrikanth S. Narayanan (ICASSP, 2014)

Variable Span disfluency detection in ASR transcripts. - Rahul Gupta 001; Sankaranarayanan Ananthakrishnan; Zhaojun Yang; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter. - Rahul Gupta 001; Panayiotis G. Georgiou; David C. Atkins; Shrikanth S. Narayanan (INTERSPEECH, 2014)

Affective Feature Design and Predicting Continuous Affective Dimensions from Music. - Naveen Kumar 004; Rahul Gupta 001; Tanaya Guha; Colin Vaz; Maarten Van Segbroeck; Jangwon Kim; Shrikanth S. Narayanan (MediaEval, 2014)

Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions. - Rahul Gupta 001; Nikolaos Malandrakis; Bo Xiao 003; Tanaya Guha; Maarten Van Segbroeck; Matthew Black; Alexandros Potamianos; Shrikanth S. Narayanan (AVEC@MM, 2014)

Affect prediction in music using boosted ensemble of filters. - Rahul Gupta 001; Naveen Kumar 004; Shrikanth S. Narayanan (EUSIPCO, 2015)

A language-based generative model framework for behavioral analysis of couples' therapy. - Sandeep Nallan Chakravarthula; Rahul Gupta 001; Brian R. Baucom; Panayiotis G. Georgiou (ICASSP, 2015)

A mixture of experts approach towards intelligibility classification of pathological speech. - Rahul Gupta 001; Kartik Audhkhasi; Shrikanth S. Narayanan (ICASSP, 2015)

Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales. - Matthew P. Black; Daniel Bone; Zisis Iason Skordilis; Rahul Gupta 001; Wei Xia; Pavlos Papadopoulos; Sandeep Nallan Chakravarthula; Bo Xiao 003; Maarten Van Segbroeck; Jangwon Kim; Panayiotis G. Georgiou; Shrikanth S. Narayanan (INTERSPEECH, 2015)

Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations. - Rahul Gupta 001; Theodora Chaspari; Panayiotis G. Georgiou; David C. Atkins; Shrikanth S. Narayanan (INTERSPEECH, 2015)

Automatic estimation of parkinson's disease severity from diverse speech tasks. - Jangwon Kim; Md. Nasir; Rahul Gupta 001; Maarten Van Segbroeck; Daniel Bone; Matthew P. Black; Zisis Iason Skordilis; Zhaojun Yang; Panayiotis G. Georgiou; Shrikanth S. Narayanan (INTERSPEECH, 2015)

Retrieving Social Images using Relevance Filtering and Diverse Selection. - Taruna Agrawal; Rahul Gupta 001; Shrikanth S. Narayanan (MediaEval, 2015)

Predicting Affect in Music Using Regression Methods on Low Level Features. - Rahul Gupta 001; Shrikanth S. Narayanan (MediaEval, 2015)

Pathological speech processing: State-of-the-art, current challenges, and future directions. - Rahul Gupta 001; Theodora Chaspari; Jangwon Kim; Naveen Kumar 004; Daniel Bone; Shrikanth S. Narayanan (ICASSP, 2016)

Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders. - Daniel Bone; Somer Bishop; Rahul Gupta 001; Sungbok Lee; Shrikanth S. Narayanan (INTERSPEECH, 2016)

Automatic Estimation of Perceived Sincerity from Spoken Language. - Brandon M. Booth; Rahul Gupta 001; Pavlos Papadopoulos; Ruchir Travadi; Shrikanth S. Narayanan (INTERSPEECH, 2016)

Predicting Affective Dimensions Based on Self Assessed Depression Severity. - Rahul Gupta 001; Shrikanth S. Narayanan (INTERSPEECH, 2016)

Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues. - Rahul Gupta 001; Nishant Nath; Taruna Agrawal; Panayiotis G. Georgiou; David C. Atkins; Shrikanth S. Narayanan (INTERSPEECH, 2016)

Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment. - Manoj Kumar 007; Rahul Gupta 001; Daniel Bone; Nikolaos Malandrakis; Somer Bishop; Shrikanth S. Narayanan (INTERSPEECH, 2016)

An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators. - Anil Ramakrishna; Rahul Gupta 001; Ruth B. Grossman; Shrikanth S. Narayanan (INTERSPEECH, 2016)

Online Affect Tracking with Multimodal Kalman Filters. - Krishna Somandepalli; Rahul Gupta 001; Md. Nasir; Brandon M. Booth; Sungbok Lee; Shrikanth S. Narayanan (AVEC@ACM Multimedia, 2016)

Inferring object rankings based on noisy pairwise comparisons from multiple annotators. - Rahul Gupta 001; Shrikanth S. Narayanan (CoRR, 2016)

Detecting paralinguistic events in audio stream using context in features and probabilistic decisions. - Rahul Gupta 001; Kartik Audhkhasi; Sungbok Lee; Shrikanth S. Narayanan (Comput. Speech Lang., 2016)

Analysis of engagement behavior in children during dyadic interactions using prosodic cues. - Rahul Gupta 001; Daniel Bone; Sungbok Lee; Shrikanth S. Narayanan (Comput. Speech Lang., 2016)

Multimodal detection of fake social media use through a fusion of classification and pairwise ranking systems. - Taruna Agrawal; Rahul Gupta 001; Shrikanth S. Narayanan (EUSIPCO, 2017)

A knowledge transfer and boosting approach to the prediction of affect in movies. - Sabyasachee Baruah; Rahul Gupta 001; Shrikanth S. Narayanan (ICASSP, 2017)

An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks. - Rahul Gupta 001; Saurabh Sahu; Carol Y. Espy-Wilson; Shrikanth S. Narayanan (INTERSPEECH, 2017)

Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction. - Qinyi Luo; Rahul Gupta 001; Shrikanth S. Narayanan (INTERSPEECH, 2017)

Adversarial Auto-Encoders for Speech Based Emotion Recognition. - Saurabh Sahu; Rahul Gupta 001; Ganesh Sivaraman; Wael AbdAlmageed; Carol Y. Espy-Wilson (INTERSPEECH, 2017)

SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images. - Taruna Agrawal; Rahul Gupta 001; Saurabh Sahu; Carol Y. Espy-Wilson (MediaEval, 2017)

Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification. - Rahul Gupta 001; Saurabh Sahu; Carol Y. Espy-Wilson; Shrikanth S. Narayanan (ICASSP, 2018)

Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition. - Saurabh Sahu; Rahul Gupta 001; Ganesh Sivaraman; Carol Y. Espy-Wilson (ICASSP, 2018)

On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks. - Saurabh Sahu; Rahul Gupta 001; Carol Y. Espy-Wilson (INTERSPEECH, 2018)

A Re-Ranker Scheme For Integrating Large Scale NLU Models. - Chengwei Su; Rahul Gupta 001; Shankar Ananthakrishnan; Spyros Matsoukas (SLT, 2018)

Modeling Multiple Time Series Annotations as Noisy Distortions of the Ground Truth: An Expectation-Maximization Approach. - Rahul Gupta 001; Kartik Audhkhasi; Zach Jacokes; Agata Rozga; Shrikanth S. Narayanan (IEEE Trans. Affect. Comput., 2018)

On Evaluating CNN Representations for Low Resource Medical Image Classification. - Taruna Agrawal; Rahul Gupta 001; Shrikanth S. Narayanan (ICASSP, 2019)

One-vs-All Models for Asynchronous Training: An Empirical Analysis. - Rahul Gupta 001; Aman Alok; Shankar Ananthakrishnan (INTERSPEECH, 2019)

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. - Ansel MacLaughlin; Jwala Dhamala; Anoop Kumar; Sriram Venkatapathy; Ragav Venkatesan; Rahul Gupta 001 (Insights, 2020)

Design Considerations for Hypothesis Rejection Modules in Spoken Language Understanding Systems. - Aman Alok; Rahul Gupta 001; Shankar Ananthakrishnan (ICASSP, 2020)

Towards classification parity across cohorts. - Aarsh Patel; Rahul Gupta 001; Mukund Harakere; Satyapriya Krishna; Aman Alok; Peng Liu (CoRR, 2020)

Automatic Discovery of Novel Intents & Domains from Text Utterances. - Nikhita Vedula; Rahul Gupta 001; Aman Alok; Mukund Sridhar (CoRR, 2020)

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. - Yada Pruksachatkun; Satyapriya Krishna; Jwala Dhamala; Rahul Gupta 001; Kai-Wei Chang (ACL/IJCNLP (Findings), 2021)

ADePT: Auto-encoder based Differentially Private Text Transformation. - Satyapriya Krishna; Rahul Gupta 001; Christophe Dupuy (EACL, 2021)

Towards Realistic Single-Task Continuous Learning Research for NER. - Justin Payan; Yuval Merhav; He Xie; Satyapriya Krishna; Anil Ramakrishna; Mukund Sridhar; Rahul Gupta 001 (EMNLP (Findings), 2021)

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. - Jwala Dhamala; Tony Sun; Varun Kumar; Satyapriya Krishna; Yada Pruksachatkun; Kai-Wei Chang; Rahul Gupta 001 (FAccT, 2021)

Protoda: Efficient Transfer Learning for Few-Shot Intent Classification. - Manoj Kumar 007; Varun Kumar; Hadrien Glaude; Cyprien de Lichy; Aman Alok; Rahul Gupta 001 (SLT, 2021)

An Efficient DP-SGD Mechanism for Large Scale NLP Models. - Christophe Dupuy; Radhika Arava; Rahul Gupta 001; Anna Rumshisky (CoRR, 2021)

On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. - Yang Trista Cao; Yada Pruksachatkun; Kai-Wei Chang; Rahul Gupta 001; Varun Kumar; Jwala Dhamala; Aram Galstyan (ACL (2), 2022)

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. - Umang Gupta; Jwala Dhamala; Varun Kumar; Apurv Verma; Yada Pruksachatkun; Satyapriya Krishna; Rahul Gupta 001; Kai-Wei Chang; Greg Ver Steeg; Aram Galstyan (ACL (Findings), 2022)

Measuring Fairness of Text Classifiers via Prediction Sensitivity. - Satyapriya Krishna; Rahul Gupta 001; Apurv Verma; Jwala Dhamala; Yada Pruksachatkun; Kai-Wei Chang (ACL (1), 2022)

Canary Extraction in Natural Language Understanding Models. - Rahil Parikh; Christophe Dupuy; Rahul Gupta 001 (ACL (2), 2022)

Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection. - Stefan Schroedl; Manoj Kumar 007; Kiana Hajebi; Morteza Ziyadi; Sriram Venkatapathy; Anil Ramakrishna; Rahul Gupta 001; Pradeep Natarajan (EMNLP (Industry Track), 2022)

An Efficient DP-SGD Mechanism for Large Scale NLU Models. - Christophe Dupuy; Radhika Arava; Rahul Gupta 001; Anna Rumshisky (ICASSP, 2022)

Learnings from Federated Learning in The Real World. - Christophe Dupuy; Tanya G. Roosta; Leo Long; Clement Chung; Rahul Gupta 001; Salman Avestimehr (ICASSP, 2022)

Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances. - Nikhita Vedula; Rahul Gupta 001; Aman Alok; Mukund Sridhar; Shankar Ananthakrishnan (ICASSP, 2022)

Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. - Manoj Kumar 007; Anna Rumshisky; Rahul Gupta 001 (AACL/IJCNLP (1), 2022)

Controlled Data Generation via Insertion Operations for NLU. - Manoj Kumar 007; Yuval Merhav; Haidar Khan; Rahul Gupta 001; Anna Rumshisky; Wael Hamza (NAACL-HLT (Industry Papers), 2022)

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. - Bill Yuchen Lin; Chaoyang He 001; Zihang Ze; Hulin Wang; Yufen Hua; Christophe Dupuy; Rahul Gupta 001; Mahdi Soltanolkotabi; Xiang Ren 001; Salman Avestimehr (NAACL-HLT (Findings), 2022)

Training Mixed-Domain Translation Models via Federated Learning. - Peyman Passban; Tanya G. Roosta; Rahul Gupta 001; Ankit Chadha; Clement Chung (NAACL-HLT, 2022)

Federated Learning with Noisy User Feedback. - Rahul Sharma; Anil Ramakrishna; Ansel MacLaughlin; Anna Rumshisky; Jimit Majmudar; Clement Chung; Salman Avestimehr; Rahul Gupta 001 (NAACL-HLT, 2022)

An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. - Jwala Dhamala; Varun Kumar; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (SLT, 2022)

Differentially Private Decoding in Large Language Models. - Jimit Majmudar; Christophe Dupuy; Charith Peris; Sami Smaili; Rahul Gupta 001; Richard S. Zemel (CoRR, 2022)

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. - Saleh Soltan; Shankar Ananthakrishnan; Jack FitzGerald; Rahul Gupta 001; Wael Hamza; Haidar Khan; Charith Peris; Stephen Rawls; Andy Rosenbaum; Anna Rumshisky; Chandana Satya Prakash; Mukund Sridhar; et al. (CoRR, 2022)

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2022)

Joint Multi-Dimensional Model for Global and Time-Series Annotations. - Anil Ramakrishna; Rahul Gupta 001; Shrikanth Narayanan (IEEE Trans. Affect. Comput., 2022)

Modeling Feature Representations for Affective Speech Using Generative Adversarial Networks. - Saurabh Sahu; Rahul Gupta 001; Carol Y. Espy-Wilson (IEEE Trans. Affect. Comput., 2022)

Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (ACL (1), 2023)

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. - Mustafa Özdayi; Charith Peris; Jack FitzGerald; Christophe Dupuy; Jimit Majmudar; Haidar Khan; Rahil Parikh; Rahul Gupta 001 (ACL (2), 2023)

Multi-VALUE: A Framework for Cross-Dialectal English NLP. - Caleb Ziems; William Held; Jingfeng Yang 001; Jwala Dhamala; Rahul Gupta 001; Diyi Yang (ACL (1), 2023)

Coordinated Replay Sample Selection for Continual Federated Learning. - Jack Good; Jimit Majmudar; Christophe Dupuy; Jixuan Wang; Charith Peris; Clement Chung; Richard S. Zemel; Rahul Gupta 001 (EMNLP (Industry Track), 2023)

Faithful Model Evaluation for Model-Based Metrics. - Qian Hu; Palash Goyal; Rahul Gupta 001 (EMNLP, 2023)

INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. - Anil Ramakrishna; Rahul Gupta 001; Jens Lehmann 001; Morteza Ziyadi (EMNLP (Findings), 2023)

Evaluating Large Language Models on Controlled Generation Tasks. - Jiao Sun; Yufei Tian; Wangchunshu Zhou; Nan Xu; Qian Hu; Rahul Gupta 001; John Frederick Wieting; Nanyun Peng 001; Xuezhe Ma (EMNLP, 2023)

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. - Anaelia Ovalle; Palash Goyal; Jwala Dhamala; Zachary Jaggers; Kai-Wei Chang; Aram Galstyan; Richard S. Zemel; Rahul Gupta 001 (FAccT, 2023)

Quantifying Catastrophic Forgetting in Continual Federated Learning. - Christophe Dupuy; Jimit Majmudar; Jixuan Wang; Tanya G. Roosta; Rahul Gupta 001; Clement Chung; Jie Ding 002; Salman Avestimehr (ICASSP, 2023)

Self-Healing Through Error Detection, Attribution, and Retraining. - Ansel MacLaughlin; Anna Rumshisky; Rinat Khaziev; Anil Ramakrishna; Yuval Merhav; Rahul Gupta 001 (ICASSP, 2023)

Sampling bias in NLU models: Impact and Mitigation. - Zefei Li; Anil Ramakrishna; Anna Rumshisky; Andy Rosenbaum; Saleh Soltan; Rahul Gupta 001 (INTERSPEECH, 2023)

FedMultimodal: A Benchmark for Multimodal Federated Learning. - Tiantian Feng; Digbalay Bose; Tuo Zhang; Rajat Hebbar; Anil Ramakrishna; Rahul Gupta 001; Mi Zhang 002; Salman Avestimehr; Shrikanth Narayanan (KDD, 2023)

Incorporating Fairness in Large Scale NLU Systems. - Rahul Gupta 001; Lisa Bauer; Kai-Wei Chang; Jwala Dhamala; Aram Galstyan; Palash Goyal; Qian Hu; Avni Khatri; Rohit Parimi; Charith Peris; Apurv Verma; Richard S. Zemel; et al. (WSDM, 2023)

Privacy in the Time of Language Models. - Charith Peris; Christophe Dupuy; Jimit Majmudar; Rahil Parikh; Sami Smaili; Richard S. Zemel; Rahul Gupta 001 (WSDM, 2023)

JAB: Joint Adversarial Prompting and Belief Augmentation. - Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Jwala Dhamala; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. - Elan Markowitz; Anil Ramakrishna; Jwala Dhamala; Ninareh Mehrabi; Charith Peris; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (ACL (1), 2024)

FLIRT: Feedback Loop In-context Red Teaming. - Ninareh Mehrabi; Palash Goyal; Christophe Dupuy; Qian Hu; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (EMNLP, 2024)

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. - Tao Meng; Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Aram Galstyan; Richard S. Zemel; Kai-Wei Chang; Rahul Gupta 001; Charith Peris (EMNLP (Findings), 2024)

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. - Fei Wang 060; Ninareh Mehrabi; Palash Goyal; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (EMNLP, 2024)

The steerability of large language models toward data-driven personas. - Junyi Li; Charith Peris; Ninareh Mehrabi; Palash Goyal; Kai-Wei Chang; Aram Galstyan; Richard S. Zemel; Rahul Gupta 001 (NAACL-HLT, 2024)

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Yuval Pinter; Rahul Gupta 001 (NAACL-HLT (Findings), 2024)

MICo: Preventative Detoxification of Large Language Models through Inhibition Control. - Roy Siegelmann; Ninareh Mehrabi; Palash Goyal; Prasoon Goyal; Lisa Bauer; Jwala Dhamala; Aram Galstyan; Rahul Gupta 001; Reza Ghanadan (NAACL-HLT (Findings), 2024)

Toward Informal Language Processing: Knowledge of Slang in Large Language Models. - Zhewei Sun; Qian Hu; Rahul Gupta 001; Richard S. Zemel; Yang Xu 023 (NAACL-HLT, 2024)

Partial Federated Learning. - Tiantian Feng; Anil Ramakrishna; Jimit Majmudar; Charith Peris; Jixuan Wang; Clement Chung; Richard S. Zemel; Morteza Ziyadi; Rahul Gupta 001 (CoRR, 2024)

TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality. - Tiantian Feng; Xuan Shi; Rahul Gupta 001; Shrikanth S. Narayanan (CoRR, 2024)

Quantitative Certification of Bias in Large Language Models. - Isha Chaudhary; Qian Hu; Manoj Kumar 007; Morteza Ziyadi; Rahul Gupta 001; Gagandeep Singh 001 (CoRR, 2024)

Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. - Tharindu Kumarage; Ninareh Mehrabi; Anil Ramakrishna; Xinyan Zhao; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001; Charith Peris (ACL (Findings), 2025)

Certifying Counterfactual Bias in LLMs. - Isha Chaudhary; Qian Hu; Manoj Kumar 007; Morteza Ziyadi; Rahul Gupta 001; Gagandeep Singh 001 (ICLR, 2025)

On Localizing and Deleting Toxic Memories in Large Language Models. - Anubrata Das 001; Manoj Kumar 007; Ninareh Mehrabi; Anil Ramakrishna; Anna Rumshisky; Kai-Wei Chang; Aram Galstyan; Morteza Ziyadi; Rahul Gupta 001 (NAACL (Findings), 2025)

K-Edit: Language Model Editing with Contextual Knowledge Awareness. - Elan Markowitz; Anil Ramakrishna; Ninareh Mehrabi; Charith Peris; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (CoRR, 2025)

LUME: LLM Unlearning with Multitask Evaluations. - Anil Ramakrishna; Yixin Wan; Xiaomeng Jin; Kai-Wei Chang; Zhiqi Bu; Bhanukiran Vinzamuri; Volkan Cevher; Mingyi Hong 001; Rahul Gupta 001 (CoRR, 2025)

Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning. - Si Chen 008; Xiao Yu; Ninareh Mehrabi; Rahul Gupta 001; Zhou Yu; Ruoxi Jia 001 (CoRR, 2025)

SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. - Anil Ramakrishna; Yixin Wan; Xiaomeng Jin; Kai-Wei Chang; Zhiqi Bu; Bhanukiran Vinzamuri; Volkan Cevher; Mingyi Hong 001; Rahul Gupta 001 (CoRR, 2025)

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning. - Yixin Wan; Anil Ramakrishna; Kai-Wei Chang; Volkan Cevher; Rahul Gupta 001 (CoRR, 2025)

Kaleidoscopic Teaming in Multi Agent Simulations. - Ninareh Mehrabi; Tharindu Kumarage; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (CoRR, 2025)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)

Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework. - Satyapriya Krishna; Ninareh Mehrabi; Abhinav Mohanty; Matteo Memelli; Vincent Ponzo; Payal Motwani; Rahul Gupta 001 (CoRR, 2025)

Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time. - Huihan Li 001; You Chen; Siyuan Wang; Yixin He; Ninareh Mehrabi; Rahul Gupta 001; Xiang Ren 001 (CoRR, 2025)

Amazon Nova AI Challenge - Trusted AI: Advancing secure, AI-assisted software development. - Sattvik Sahai; Prasoon Goyal; Michael Johnston; Anna Gottardi; Yao Lu; Lucy Hu; Luke Dai; Shaohua Liu; Samyuth Sagi; Hangjie Shi; Desheng Zhang; Lavina Vaz; et al. (CoRR, 2025)