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Aram Galstyan
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- affiliation: University of Southern California, Los Angeles, USA
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2020 – today
- 2024
- [c132]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. ACL (Findings) 2024: 10288-10302 - [c131]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: 12302-12319 - [c130]Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg:
Policy Learning for Localized Interventions from Observational Data. AISTATS 2024: 4456-4464 - [c129]Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter:
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding. CLeaR 2024: 18-40 - [c128]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: 572-583 - [c127]Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar:
Correcting Language Model Outputs by Editing Salient Layers. EACL (Findings) 2024: 1295-1305 - [c126]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: 1357-1370 - [c125]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. EMNLP 2024: 703-718 - [c124]Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. EMNLP 2024: 8089-8100 - [c123]Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. EMNLP (Findings) 2024: 13329-13341 - [c122]Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar:
Leveraging LLMs for Dialogue Quality Measurement. NAACL (Industry Track) 2024: 359-367 - [c121]Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan:
MICo: Preventative Detoxification of Large Language Models through Inhibition Control. NAACL-HLT (Findings) 2024: 1696-1703 - [c120]Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta:
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. NAACL-HLT (Findings) 2024: 1739-1756 - [c119]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: 7290-7305 - [i131]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. CoRR abs/2402.11138 (2024) - [i130]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR abs/2402.15833 (2024) - [i129]Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar:
Leveraging LLMs for Dialogue Quality Measurement. CoRR abs/2406.17304 (2024) - [i128]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 abs/2407.21358 (2024) - [i127]Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. CoRR abs/2410.05269 (2024) - [i126]Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. CoRR abs/2410.05559 (2024) - [i125]Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Bodapati, Aram Galstyan:
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins. CoRR abs/2410.09362 (2024) - [i124]Neal Lawton, Aishwarya Padmakumar, Judith Gaspers, Jack FitzGerald, Anoop Kumar, Greg Ver Steeg, Aram Galstyan:
QuAILoRA: Quantization-Aware Initialization for LoRA. CoRR abs/2410.14713 (2024) - [i123]Sullam Jeoung, Goeric Huybrechts, Bhavana Ganesh, Aram Galstyan, Sravan Bodapati:
Adaptive Video Understanding Agent: Enhancing efficiency with dynamic frame sampling and feedback-driven reasoning. CoRR abs/2410.20252 (2024) - [i122]Neal Lawton, Aram Galstyan, Greg Ver Steeg:
Learning Morphisms with Gauss-Newton Approximation for Growing Networks. CoRR abs/2411.05855 (2024) - [i121]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:
Hybrid Forecasting of Geopolitical Events. CoRR abs/2412.10981 (2024) - 2023
- [j21]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
:
Hybrid forecasting of geopolitical events†. AI Mag. 44(1): 112-128 (2023) - [c118]Mohammad Rostami, Aram Galstyan:
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. AAAI 2023: 9623-9631 - [c117]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: 186-195 - [c116]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: 2810-2823 - [c115]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: 4398-4419 - [c114]Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. ACL (Findings) 2023: 7740-7755 - [c113]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: 8047-8061 - [c112]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: 8506-8515 - [c111]Umang Gupta, Aram Galstyan, Greg Ver Steeg:
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. ACL (Findings) 2023: 12612-12629 - [c110]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: 14367-14388 - [c109]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: 5267-5270 - [c108]Elan Sopher Markowitz, Aram Galstyan:
StATIK+: Structure and Text for Inductive Knowledge Graph Modeling and Paths towards Enterprise Implementations. EKG-LLM@CIKM 2023 - [c107]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: 811-819 - [c106]Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. EMNLP (Findings) 2023: 11484-11498 - [c105]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: 1246-1266 - [c104]Mohammad Rostami, Aram Galstyan:
Cognitively Inspired Learning of Incremental Drifting Concepts. IJCAI 2023: 3058-3066 - [c103]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: 91-101 - [c102]Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg:
Partial identification of dose responses with hidden confounders. UAI 2023: 1368-1379 - [c101]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: 1289-1290 - [i120]Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng:
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems. CoRR abs/2305.07797 (2023) - [i119]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 abs/2305.09941 (2023) - [i118]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 abs/2305.10625 (2023) - [i117]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 abs/2305.16585 (2023) - [i116]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 abs/2305.16597 (2023) - [i115]Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. CoRR abs/2305.18675 (2023) - [i114]Umang Gupta, Aram Galstyan, Greg Ver Steeg:
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning. CoRR abs/2305.19264 (2023) - [i113]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 abs/2306.03984 (2023) - [i112]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 abs/2306.06302 (2023) - [i111]Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter:
Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding. CoRR abs/2306.09520 (2023) - [i110]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 abs/2308.04265 (2023) - [i109]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 abs/2311.04978 (2023) - [i108]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 abs/2311.09473 (2023) - [i107]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 abs/2312.11779 (2023) - 2022
- [j20]Ninareh Mehrabi, Fred Morstatter
, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54(6): 115:1-115:35 (2022) - [j19]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) - [j18]Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan:
A Metric Space for Point Process Excitations. J. Artif. Intell. Res. 73 (2022) - [c100]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: 561-570 - [c99]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: 658-678 - [c98]Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng:
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations. ACL (1) 2022: 771-785 - [c97]Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan:
Failure Modes of Domain Generalization Algorithms. CVPR 2022: 19055-19064 - [c96]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: 1547-1554 - [c95]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: 3463-3467 - [c94]Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan:
Formal limitations of sample-wise information-theoretic generalization bounds. ITW 2022: 440-445 - [c93]Judith Gaspers, Anoop Kumar, Greg Ver Steeg, Aram Galstyan:
Temporal Generalization for Spoken Language Understanding. NAACL-HLT (Industry Papers) 2022: 37-44 - [c92]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: 604-615 - [c91]Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan:
Robust Conversational Agents against Imperceptible Toxicity Triggers. NAACL-HLT 2022: 2831-2847 - [c90]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: 655-662 - [i106]Sarik Ghazarian, Nuan Wen, Aram Galstyan, Nanyun Peng:
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations. CoRR abs/2203.09711 (2022) - [i105]Marcin Abram, Keith Burghardt, Greg Ver Steeg, Aram Galstyan, Rémi Dingreville:
Inferring topological transitions in pattern-forming processes with self-supervised learning. CoRR abs/2203.10204 (2022) - [i104]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 abs/2203.12574 (2022) - [i103]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 abs/2203.13928 (2022) - [i102]Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan:
Bounding the Effects of Continuous Treatments for Hidden Confounders. CoRR abs/2204.11206 (2022) - [i101]Ninareh Mehrabi, Ahmad Beirami, Fred Morstatter, Aram Galstyan:
Robust Conversational Agents against Imperceptible Toxicity Triggers. CoRR abs/2205.02392 (2022) - [i100]Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan:
Formal limitations of sample-wise information-theoretic generalization bounds. CoRR abs/2205.06915 (2022) - [i99]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 abs/2210.03826 (2022) - [i98]Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. CoRR abs/2211.00881 (2022) - [i97]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 abs/2211.12503 (2022) - 2021
- [j17]Shushan Arakelyan, Sima Arasteh, Christophe Hauser, Erik Kline, Aram Galstyan:
Bin2vec: learning representations of binary executable programs for security tasks. Cybersecur. 4(1) (2021) - [j16]Kyle Reing, Greg Ver Steeg
, Aram Galstyan:
Discovering Higher-Order Interactions Through Neural Information Decomposition. Entropy 23(1): 79 (2021) - [j15]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): 607-617 (2021) - [c89]Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan:
Exacerbating Algorithmic Bias through Fairness Attacks. AAAI 2021: 8930-8938 - [c88]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: 4636-4650 - [c87]James O'Neill, Greg Ver Steeg, Aram Galstyan:
Layer-Wise Neural Network Compression via Layer Fusion. ACML 2021: 1381-1396 - [c86]Kyle Reing, Greg Ver Steeg, Aram Galstyan:
Influence Decompositions For Neural Network Attribution. AISTATS 2021: 2710-2718 - [c85]Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. AKBC 2021 - [c84]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: 5016-5033 - [c83]Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed:
Partner-Assisted Learning for Few-Shot Image Classification. ICCV 2021: 10553-10562 - [c82]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 - [c81]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: 26-34 - [c80]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: 4334-4344 - [c79]Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Implicit SVD for Graph Representation Learning. NeurIPS 2021: 8419-8431 - [c78]Greg Ver Steeg, Aram Galstyan:
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling. NeurIPS 2021: 11012-11025 - [c77]Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan:
Information-theoretic generalization bounds for black-box learning algorithms. NeurIPS 2021: 24670-24682 - [c76]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: 1938-1947 - [c75]Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed:
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization. WACV 2021: 2585-2594 - [i96]Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng:
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. CoRR abs/2102.02191 (2021) - [i95]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 abs/2102.04350 (2021) - [i94]Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Fast Graph Learning with Unique Optimal Solutions. CoRR abs/2102.08530 (2021) - [i93]Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan:
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR abs/2103.11320 (2021) - [i92]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 abs/2104.05801 (2021) - [i91]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 abs/2104.10232 (2021) - [i90]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 abs/2107.00745 (2021) - [i89]Mohammad Rostami, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. CoRR abs/2107.01598 (2021) - [i88]Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan:
Attributing Fair Decisions with Attention Interventions. CoRR abs/2109.03952 (2021) - [i87]