Manas Gaur

According to our database, Manas Gaur authored at least 77 papers between 2012 and 2024.

Collaborative distances:

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

2024

Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data.

Atmika Gorti, Manas Gaur, Aman Chadha

CoRR, 2024

Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context.

Nilanjana Das, Edward Raff, Manas Gaur

CoRR, 2024

IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being.

Amelie Gyrard, Seyedali Mohammadi, Manas Gaur, Antonio Kung

CoRR, 2024

WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions.

Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur

CoRR, 2024

REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs.

Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur

CoRR, 2024

COBIAS: Contextual Reliability in Bias Assessment.

Priyanshul Govil, Vamshi Krishna Bonagiri, Manas Gaur, Ponnurangam Kumaraguru, Sanorita Dey

CoRR, 2024

Measuring Moral Inconsistencies in Large Language Models.

Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur, Ponnurangam Kumaraguru

CoRR, 2024

LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge.

Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi

CoRR, 2024

Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety.

Manas Gaur, Amit P. Sheth

AI Mag., 2024

KiL 2024: 4th International Workshop on Knowledge-infused Learning <i>(Towards Consistent, Reliable, Explainable, and Safe LLMs)</i>.

Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations.

Abhinav Joshi, Shaswati Saha, Divyaksh Shukla, Sriram Vema, Harsh Jhamtani, Manas Gaur, Ashutosh Modi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱.

Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

SaGE: Evaluating Moral Consistency in Large Language Models.

Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Knowledge Graphs for Responsible AI.

Edlira Vakaj, Nandana Mihindukulasooriya, Manas Gaur, Arijit Khan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries.

Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement.

Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava

Frontiers Artif. Intell., February, 2023

Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy.

Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi

IEEE Internet Comput., 2023

Neurosymbolic Artificial Intelligence (Why, What, and How).

Amit P. Sheth, Kaushik Roy, Manas Gaur

IEEE Intell. Syst., 2023

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries.

Kanak Raj, Kaushik Roy, Manas Gaur

CoRR, 2023

A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression.

Sumit Dalal, Deepa Tilwani, Manas Gaur, Sarika Jain, Valerie L. Shalin, Amit P. Sheth

CoRR, 2023

Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models.

Nancy Tyagi, Aidin Shiri, Surjodeep Sarkar, Abhishek Kumar Umrawal, Manas Gaur

CoRR, 2023

Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy.

Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi

CoRR, 2023

IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations.

Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

CoRR, 2023

Knowledge-Infused Self Attention Transformers.

Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

CoRR, 2023

Process Knowledge-infused Learning for Clinician-friendly Explanations.

Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth

CoRR, 2023

Neurosymbolic AI - Why, What, and How.

Amit P. Sheth, Kaushik Roy, Manas Gaur

CoRR, 2023

Towards Explainable and Safe Conversational Agents for Mental Health: A Survey.

Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar

CoRR, 2023

LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts.

Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

KiL 2023 : 3rd International Workshop on Knowledge-infused Learning.

Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan, Sudip Mittal

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Effective Paraphrasing for Information Disguise.

Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru

Proceedings of the Advances in Information Retrieval, 2023

Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models.

Nancy Tyagi, Surjodeep Sarkar, Manas Gaur

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe.

Manas Gaur

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal

IEEE Internet Comput., 2022

Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI.

Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth

IEEE Internet Comput., 2022

Spinning words as disguise: Shady services for ethical research?

Joseph Reagle, Manas Gaur

First Monday, 2022

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance.

Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth

Frontiers Big Data, 2022

KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts.

Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

CoRR, 2022

Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal

CoRR, 2022

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts.

Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth

CoRR, 2022

Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection.

Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth

CoRR, 2022

Process Knowledge-infused Learning for Suicidality Assessment on Social Media.

Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth

CoRR, 2022

Tutorial: Neuro-symbolic AI for Mental Healthcare.

Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth

Proceedings of the Second International Conference on AI-ML Systems, 2022

A Risk-Averse Mechanism for Suicidality Assessment on Social Media.

Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs.

Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS.

Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth

Dataset, February, 2021

Knowledge-Intensive Language Understanding for Explainable AI.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu

IEEE Internet Comput., 2021

Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable?

Manas Gaur, Keyur Faldu, Amit P. Sheth

IEEE Internet Comput., 2021

Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems.

Keyur Faldu, Amit P. Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi

CoRR, 2021

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS.

Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth

CoRR, 2021

Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits.

Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision.

Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit.

Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Knowledge Infused Policy Gradients for Adaptive Pandemic Control.

Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

Comparing Suicide Risk Insights derived from Clinical and Social Media data.

Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak

CoRR, 2020

Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India.

Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V. Radha Sai Rupesh, Sakthi Balan Muthiah, Amit P. Sheth

CoRR, 2020

ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter.

Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar

Proceedings of the Social Informatics - 12th International Conference, 2020

A New Delay Differential Equation Model for COVID-19.

B. Shayak, Mohit M. Sharma, Manas Gaur

Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020

Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak.

Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan

Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020

Knowledge-infused Deep Learning.

Manas Gaur, Ugur Kursuncu, Amit P. Sheth, Ruwan Wickramarachchi, Shweta Yadav

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning.

Ugur Kursuncu, Manas Gaur, Amit P. Sheth

Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data.

Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth

Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

Unsupervised Detection of Sub-Events in Large Scale Disasters.

Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate.

Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth

Proc. ACM Hum. Comput. Interact., 2019

Shades of Knowledge-Infused Learning for Enhancing Deep Learning.

Amit P. Sheth, Manas Gaur, Ugur Kursuncu, Ruwan Wickramarachchi

IEEE Internet Comput., 2019

Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention.

Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak

Proceedings of the World Wide Web Conference, 2019

Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis.

Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth

Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Question Answering for Suicide Risk Assessment Using Reddit.

Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit P. Sheth, Randon S. Welton, Jyotishman Pathak

Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

2018

Predictive Analysis on Twitter: Techniques and Applications.

Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar

CoRR, 2018

What's my age?: Predicting Twitter User's Age using Influential Friend Network and DBpedia.

Alan Smith, Manas Gaur

CoRR, 2018

Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary.

Amelie Gyrard, Manas Gaur, Swati Padhee, Amit P. Sheth, Mihaela Juganaru-Mathieu

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding.

Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media.

Shreyansh P. Bhatt, Manas Gaur, Beth Bullemer, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Personalized Health Knowledge Graph.

Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Saeedeh Shekarpour

Proceedings of the Joint Proceedings of the International Workshops on Contextualized Knowledge Graphs, 2018

A Collaborative Filtering Recommender System in Primary Care: Towards a Trusting Patient-Doctor Relationship.

Qiwei Han, Inigo Martinez de Rituerto de Troya, Mengxin Ji, Manas Gaur, Leid Zejnilovic

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care.

Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention.

Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2012

Software Security analysis, static and dynamic testing in java and C environment, a comparative study

Manas Gaur

CoRR, 2012