Aram Galstyan

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 189

Top Venues

Publications

Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
Contrastive Instruction Tuning. CoRR (2024)
Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
Contrastive Instruction Tuning. ACL (Findings) (2024)
Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg
Policy Learning for Localized Interventions from Observational Data. AISTATS (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) (2024)
Yi Ren Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan
Agenda-Driven Question Generation: A Case Study in the Courtroom Domain. LREC/COLING (2024)
Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar
Leveraging LLMs for Dialogue Quality Measurement. CoRR (2024)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
Prompt Perturbation Consistency Learning for Robust Language Models. EACL (Findings) (2024)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR (2024)
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
The steerability of large language models toward data-driven personas. NAACL-HLT (2024)
Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar
Correcting Language Model Outputs by Editing Salient Layers. EACL (Findings) (2024)
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding. CLeaR (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR (2024)
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. CoRR (2023)
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
. AI Mag. 44 (1) (2023)
Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models. CoRR (2023)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Umang Gupta, Aram Galstyan, Greg Ver Steeg
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. CoRR (2023)
Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg
Partial identification of dose responses with hidden confounders. UAI (2023)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR (2023)
Umang Gupta, Aram Galstyan, Greg Ver Steeg
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. ACL (Findings) (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR (2023)
Zheng Chen, Ziyan Jiang, Fan Yang, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Aram Galstyan
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding. EMNLP (Industry Track) (2023)
Elizabeth Haddad, Myrl G. Marmarelis, Talia M. Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad
Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain. MLCN@MICCAI (2023)
Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs. CoRR (2023)
Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models. ACL (Findings) (2023)
Elan Markowitz, Ziyan Jiang, Fan Yang, Xing Fan, Tony Chen, Greg Ver Steeg, Aram Galstyan
Multi-Task Knowledge Enhancement for Zero-Shot and Multi-Domain Recommendation in an AI Assistant Application. CoRR (2023)
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
On the steerability of large language models toward data-driven personas. CoRR (2023)
Elan Sopher Markowitz, Aram Galstyan
StATIK+: Structure and Text for Inductive Knowledge Graph Modeling and Paths towards Enterprise Implementations. EKG-LLM@CIKM (2023)
Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. EMNLP (Findings) (2023)
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM (2023)
Mohammad Rostami, Aram Galstyan
Cognitively Inspired Learning of Incremental Drifting Concepts. IJCAI (2023)
Abishek Komma, Nagesh Panyam Chandrasekarasastry, Timothy Leffel, Anuj Goyal, Angeliki Metallinou, Spyros Matsoukas, Aram Galstyan
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs. ACL (industry) (2023)
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
FLIRT: Feedback Loop In-context Red Teaming. CoRR (2023)
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter
Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding. CoRR (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT (2023)
Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems. CoRR (2023)
Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
Incorporating Fairness in Large Scale NLU Systems. WSDM (2023)
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
Measuring and Mitigating Local Instability in Deep Neural Networks. CoRR (2023)
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan
Measuring and Mitigating Local Instability in Deep Neural Networks. ACL (Findings) (2023)
Mohammad Rostami, Aram Galstyan
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. AAAI (2023)
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. ACL (Findings) (2023)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. CoRR (2023)
Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems. ACL (1) (2023)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) (2023)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. ACL (1) (2023)
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan
A Metric Space for Point Process Excitations. J. Artif. Intell. Res. 73 (2022)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) (2022)
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
Formal limitations of sample-wise information-theoretic generalization bounds. ITW (2022)
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. EMNLP (Findings) (2022)
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan
Bounding the Effects of Continuous Treatments for Hidden Confounders. CoRR (2022)
Anoop Kumar, Pankaj Kumar Sharma, Aravind Illa, Sriram Venkatapathy, Subhrangshu Nandi, Pritam Varma, Anurag Dwarakanath, Aram Galstyan
Learning Under Label Noise for Robust Spoken Language Understanding systems. INTERSPEECH (2022)
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. CoRR (2022)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) (2022)
Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Failure Modes of Domain Generalization Algorithms. CVPR (2022)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR (2022)
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
Robust Conversational Agents against Imperceptible Toxicity Triggers. NAACL-HLT (2022)
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT (2022)
K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan
Identifying geopolitical event precursors using attention-based LSTMs. Frontiers Artif. Intell. 5 (2022)
Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations. CoRR (2022)
Marcin Abram, Keith Burghardt, Greg Ver Steeg, Aram Galstyan, Rémi Dingreville
Inferring topological transitions in pattern-forming processes with self-supervised learning. CoRR (2022)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR (2022)
Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan
Robust Conversational Agents against Imperceptible Toxicity Triggers. CoRR (2022)
Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations. ACL (1) (2022)
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
Formal limitations of sample-wise information-theoretic generalization bounds. CoRR (2022)
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg
StATIK: Structure and Text for Inductive Knowledge Graph Completion. NAACL-HLT (Findings) (2022)
Judith Gaspers, Anoop Kumar, Greg Ver Steeg, Aram Galstyan
Temporal Generalization for Spoken Language Understanding. NAACL-HLT (Industry Papers) (2022)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR (2022)
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. CoRR (2022)
Elan Sopher Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. ICLR (2021)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR (2021)
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. EMNLP (1) (2021)
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. CoRR (2021)
Shushan Arakelyan, Sima Arasteh, Christophe Hauser, Erik Kline, Aram Galstyan
Bin2vec: learning representations of binary executable programs for security tasks. Cybersecur. 4 (1) (2021)
Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Fast Graph Learning with Unique Optimal Solutions. CoRR (2021)
Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
Attributing Fair Decisions with Attention Interventions. CoRR (2021)
Kyle Reing, Greg Ver Steeg, Aram Galstyan
Influence Decompositions For Neural Network Attribution. AISTATS (2021)
Kyle Reing, Greg Ver Steeg, Aram Galstyan
Discovering Higher-Order Interactions Through Neural Information Decomposition. Entropy 23 (1) (2021)
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54 (6) (2021)
James O'Neill, Greg Ver Steeg, Aram Galstyan
Layer-Wise Neural Network Compression via Layer Fusion. ACML (2021)
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
Information-theoretic generalization bounds for black-box learning algorithms. CoRR (2021)
Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija, Aram Galstyan
Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs. CoRR (2021)
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. CoRR (2021)
Mohammad Rostami, Aram Galstyan
Cognitively Inspired Learning of Incremental Drifting Concepts. CoRR (2021)
Sarik Ghazarian, Zixi Liu, Akash SM, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation. CoRR (2021)
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
One-shot Learning for Temporal Knowledge Graphs. AKBC (2021)
Mohammad Rostami, Aram Galstyan
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. CoRR (2021)
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Implicit SVD for Graph Representation Learning. NeurIPS (2021)
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
Identifying and Analyzing Cryptocurrency Manipulations in Social Media. IEEE Trans. Comput. Soc. Syst. 8 (3) (2021)
Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed
Partner-Assisted Learning for Few-Shot Image Classification. CoRR (2021)
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Implicit SVD for Graph Representation Learning. CoRR (2021)
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
q-Paths: Generalizing the Geometric Annealing Path using Power Means. CoRR (2021)
Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed
Partner-Assisted Learning for Few-Shot Image Classification. ICCV (2021)
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
q-Paths: Generalizing the geometric annealing path using power means. UAI (2021)
Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. ACL/IJCNLP (1) (2021)
Sarik Ghazarian, Zixi Liu, Akash SM, Ralph M. Weischedel, Aram Galstyan, Nanyun Peng
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation. NAACL-HLT (2021)
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
Exacerbating Algorithmic Bias through Fairness Attacks. AAAI (2021)
Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan
Failure Modes of Domain Generalization Algorithms. CoRR (2021)
Greg Ver Steeg, Aram Galstyan
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling. NeurIPS (2021)
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
Information-theoretic generalization bounds for black-box learning algorithms. NeurIPS (2021)
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. NAACL-HLT (Demonstrations) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aram Galstyan