Manas Gaur

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 94

Top Topics

Top Venues

IEEE Internet Comput.

Publications

Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. AAAI Spring Symposia (2024)
Manas Gaur, Amit P. Sheth
Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety. AI Mag. 45 (1) (2024)
Nilanjana Das, Edward Raff, Manas Gaur
Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context. CoRR (2024)
Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS (2024)
Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur
SaGE: Evaluating Moral Consistency in Large Language Models. LREC/COLING (2024)
Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR (2024)
Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
. KDD (2024)
Amelie Gyrard, Seyedali Mohammadi, Manas Gaur, Antonio Kung
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being. CoRR (2024)
Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. CoRR (2024)
Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. CoRR (2024)
Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur, Ponnurangam Kumaraguru
Measuring Moral Inconsistencies in Large Language Models. CoRR (2024)
Priyanshul Govil, Vamshi Krishna Bonagiri, Manas Gaur, Ponnurangam Kumaraguru, Sanorita Dey
COBIAS: Contextual Reliability in Bias Assessment. CoRR (2024)
Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur
SaGE: Evaluating Moral Consistency in Large Language Models. CoRR (2024)
Manas Gaur
Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe. AAAI (2023)
Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement. Frontiers Artif. Intell. 6 (2023)
Nancy Tyagi, Surjodeep Sarkar, Manas Gaur
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. CoRR (2023)
Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru
Towards Effective Paraphrasing for Information Disguise. CoRR (2023)
Nancy Tyagi, Aidin Shiri, Surjodeep Sarkar, Abhishek Kumar Umrawal, Manas Gaur
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models. CoRR (2023)
Nancy Tyagi, Surjodeep Sarkar, Manas Gaur
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. CIKM (2023)
Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR (2023)
Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru
Towards Effective Paraphrasing for Information Disguise. ECIR (2) (2023)
Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy. CoRR (2023)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
Knowledge-Infused Self Attention Transformers. CoRR (2023)
Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR (2023)
Manas Gaur, Amit P. Sheth
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety. CoRR (2023)
Amit P. Sheth, Kaushik Roy, Manas Gaur
Neurosymbolic AI - Why, What, and How. CoRR (2023)
Manas Gaur, Efthymia Tsamoura, Sarath Sreedharan, Sudip Mittal
KiL 2023 : 3rd International Workshop on Knowledge-infused Learning. KDD (2023)
Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. SMC (2023)
Kanak Raj, Kaushik Roy, Manas Gaur
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. CoRR (2023)
Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts. CoRR (2023)
Surjodeep Sarkar, Manas Gaur, L. Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey. CoRR (2023)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR (2023)
Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR (2023)
Amit P. Sheth, Kaushik Roy, Manas Gaur
Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 38 (3) (2023)
Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi
Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy. IEEE Internet Comput. 27 (5) (2023)
Sumit Dalal, Deepa Tilwani, Manas Gaur, Sarika Jain, Valerie L. Shalin, Amit Seth
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression. CoRR (2023)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR (2022)
Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur
A Risk-Averse Mechanism for Suicidality Assessment on Social Media. ACL (2) (2022)
Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth
Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems (2022)
Joseph Reagle, Manas Gaur
Spinning words as disguise: Shady services for ethical research? First Monday 27 (1) (2022)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR (2022)
Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR (2022)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. 26 (5) (2022)
Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection. CoRR (2022)
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. AAAI (2022)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022)
Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth
Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR (2022)
Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth
Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI. IEEE Internet Comput. 26 (4) (2022)
Keyur Faldu, Amit P. Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems. CoRR (2021)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
Knowledge-intensive Language Understanding for Explainable AI. CoRR (2021)
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) (2021)
Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR (2021)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. 25 (5) (2021)
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2021)
Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs. CoRR (2021)
Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. CoRR (2021)
Manas Gaur, Keyur Faldu, Amit P. Sheth
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable? IEEE Internet Comput. 25 (1) (2021)
Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. CoRR (2020)
Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. AI4SG@AAAI Fall Symposium (2020)
B. Shayak, Mohit M. Sharma, Manas Gaur
A New Delay Differential Equation Model for COVID-19. KiML@KDD (2020)
Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter. CoRR (2020)
Ugur Kursuncu, Manas Gaur, Amit P. Sheth
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Manas Gaur, Ugur Kursuncu, Amit P. Sheth, Ruwan Wickramarachchi, Shweta Yadav
Knowledge-infused Deep Learning. HT (2020)
Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. CoRR (2020)
Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak. KiML@KDD (2020)
Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter. SocInfo (2020)
Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V. Radha Sai Rupesh, Sakthi Balan Muthiah, Amit P. Sheth
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India. CoRR (2020)
Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak
Comparing Suicide Risk Insights derived from Clinical and Social Media data. CoRR (2020)
Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes
Unsupervised Detection of Sub-Events in Large Scale Disasters. AAAI (2020)
Manas Gaur, Keyur Faldu, Amit P. Sheth
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? CoRR (2020)
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. CoRR (2019)
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes
Unsupervised Detection of Sub-events in Large Scale Disasters. CoRR (2019)
Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth
Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis. ICSC (2019)
Ugur Kursuncu, Manas Gaur, Amit P. Sheth
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. CoRR (2019)
Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit P. Sheth, Randon S. Welton, Jyotishman Pathak
Question Answering for Suicide Risk Assessment Using Reddit. ICSC (2019)
Amit P. Sheth, Manas Gaur, Ugur Kursuncu, Ruwan Wickramarachchi
Shades of Knowledge-Infused Learning for Enhancing Deep Learning. IEEE Internet Comput. 23 (6) (2019)
Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW (2019)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar
"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding. CoRR (2018)
Alan Smith, Manas Gaur
What's my age?: Predicting Twitter User's Age using Influential Friend Network and DBpedia. CoRR (2018)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar
Predictive Analysis on Twitter: Techniques and Applications. CoRR (2018)
Amelie Gyrard, Manas Gaur, Swati Padhee, Amit P. Sheth, Mihaela Juganaru-Mathieu
Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. WWW (Companion Volume) (2018)
Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. CIKM (2018)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Ismailcem Budak Arpinar
What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding. WI (2018)
Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. DSAA (2018)
Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. CoRR (2018)
Shreyansh P. Bhatt, Manas Gaur, Beth Bullemer, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery
Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media. WI (2018)
Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Saeedeh Shekarpour
Personalized Health Knowledge Graph. CKGSemStats@ISWC (2018)
Qiwei Han, Inigo Martinez de Rituerto de Troya, Mengxin Ji, Manas Gaur, Leid Zejnilovic
A Collaborative Filtering Recommender System in Primary Care: Towards a Trusting Patient-Doctor Relationship. ICHI (2018)
Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit P. Sheth
empathi: An ontology for Emergency Managing and Planning about Hazard Crisis. CoRR (2018)
Manas Gaur
Software Security analysis, static and dynamic testing in java and C environment, a comparative study CoRR (2012)