Publications
Selected works in AI, Healthcare, and Large Language Models.
Neurosymbolic Retrievers for Retrieval-Augmented Generation
Saxena, Y., & Gaur, M.
Generation-Time vs. Post-hoc Citation: A Holistic Evaluation of LLM Attribution
Yash Saxena, Raviteja Bommireddy, Ankur Padia, Manas Gaur
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
Mohammadi, S., Vedula, B. H., Lamba, H., Raff, E., Kumaraguru, P., Ferraro, F., & Gaur, M.
Side Effects of Erasing Concepts from Diffusion Models
Shaswati Saha, Sourajit Saha, Manas Gaur, Tejas Gokhale
LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call Transcripts
Seyedali Mohammadi, Manas Paldhe, Amit Chhabra, Youngseo Son, Vishal Seshagiri
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
Batool Haider, Atmika Gorti, Aman Chadha, Manas Gaur
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
Yash Saxena, Ankur Padia, Mandar S Chaudhary, Kalpa Gunaratna, Srinivasan Parthasarathy, Manas Gaur
(CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations
Baskar, S., Gaur, M., Parthasarathy, S., & Verlekar, T. T.
MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses Using Large Language Models
Neupane, S., Mitra, S., Mittal, S., Gaur, M., Golilarz, N. A., Rahimi, S., & Amirlatifi, A.
Introduction to the Special Issue on Large Language Models, Conversational Systems, and Generative AI in Health—Part 1
Zhou, J., Gaur, M., Rahmani, A. M., Guntuku, S. C., Jiang, X. (Fred), & Naumann, T.
A Cross Attention Approach to Diagnostic Explainability Using Clinical Practice Guidelines for Depression
Dalal, S., Tilwani, D., Gaur, M., Jain, S., Shalin, V. L., & Sheth, A. P.
Boosting cervical cancer detection with a multi-stage architecture and complementary information fusion
Sahoo, P., Saha, S., Sharma, S. K., & Mondal, S.
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation ...
Mohseni, S., Mohammadi, A., Tilwani, D., Saxena, Y., Ndawula, G., Vema, S., Raff, E., & Gaur, M.
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs ...
Yash Saxena, Deepa Tilwani, Ali Mohammadi, Edward Raff, Amit Sheth, Srinivasan Parthasarathy, Manas Gaur
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
Govil, P., Jain, H., Bonagiri, V., Chadha, A., Kumaraguru, P., Gaur, M., & Dey, S.
SaGE: Evaluating Moral Consistency in Large Language Models
Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil, Ponnurangam Kumaraguru, Manas Gaur
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
Mitra, S., Neupane, S., Chakraborty, T., Mittal, S., Piplai, A., Gaur, M., & Rahimi, S.
WellDunn: On the<italic> Robustness</italic> and<italic> Explainability</italic> of Language Models and Large Language Models in Identifying Wellness Dimensions
Mohammadi, S., Raff, E., Malekar, J., Palit, V., Ferraro, F., & Gaur, M.
A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique
Sahoo, P., Saha, S., Sharma, S. K., Mondal, S., & Gowda, S.
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)
Gaur, M., Tsamoura, E., Raff, E., Vedula, N., & Parthasarathy, S.
A multistage framework for respiratory disease detection and assessing severity in chest X-ray images
Sahoo, P., Sharma, S. K., Saha, S., Jain, D., & Mondal, S.
Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety
Gaur, M., & Sheth, A.
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being
Gyrard, A., Mohammadi, S., Gaur, M., & Kung, A.
A Federated Multi-stage Light-Weight Vision Transformer for Respiratory Disease Detection
Sahoo, P., Sharma, S. K., Saha, S., & Mondal, S.
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱
Shiri, A., Roy, K., Sheth, A., & Gaur, M.
Evaluating Consistency and Reasoning Capabilities of Large Language Models
Saxena, Y., Chopra, S., & Tripathi, A. M.
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
Joshi, A., Saha, S., Shukla, D., Vema, S., Jhamtani, H., Gaur, M., & Modi, A.
Knowledge Graphs for Responsible AI
Vakaj, E., Mihindukulasooriya, N., Gaur, M., & Khan, A.
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models
Tyagi, N., Sarkar, S., & Gaur, M.
Process Knowledge-Infused Learning for Clinician-Friendly Explanations
Roy, K., Zi, Y., Gaur, M., Malekar, J., Zhang, Q., Narayanan, V., & Sheth, A.
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts
Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey
Surjodeep Sarkar, Manas Gaur, L. Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance
Roy, K., Gaur, M., Soltani, M., Rawte, V., Kalyan, A., & Sheth, A.
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement
Sarkar, S., Gaur, M., Chen, L. K., Garg, M., & Srivastava, B.
Effect of GloVe, Word2Vec and FastText Embedding on English and Hindi Neural Machine Translation Systems
Sitender, Sangeeta, Sushma, N. S., & Sharma, S. K.
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries
Raj, K., Roy, K., Bonagiri, V., Govil, P., Thirunarayan, K., Goswami, R., & Gaur, M.
Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion
Sahoo, P., Saha, S., Mondal, S., Seera, M., Sharma, S. K., & Kumar, M.
Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy
Piplai, A., Kotal, A., Mohseni, S., Gaur, M., Mittal, S., & Joshi, A.
Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe
Gaur, M.
Emotion Based Mental Health Classifier for NCR Based Engineering Students
Saxena, Y., Mishra, A. K., Arora, D., & Devi, R.
KiL 2023 : 3rd International Workshop on Knowledge-infused Learning
Gaur, M., Tsamoura, E., Sreedharan, S., & Mittal, S.
Neurosymbolic Artificial Intelligence (Why, What, and How)
Sheth, A., Roy, K., & Gaur, M.
Towards Effective Paraphrasing for Information Disguise
Agarwal, A., Gupta, S., Bonagiri, V., Gaur, M., Reagle, J., & Kumaraguru, P.