Ponnurangam Kumaraguru

Computer Science · Physical Sciences

43h-index8.6kcitations362works0.82yr avg
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Research Topics

Spam and Phishing Detection(113), Misinformation and Its Impacts(78), Complex Network Analysis Techniques(53), Hate Speech and Cyberbullying Detection(45), Advanced Malware Detection Techniques(39)

Publications362 total

Sample Complexity of Causal Identification with Temporal Heterogeneity
arXiv (Cornell University)·2026Open Access
Sample Complexity of Causal Identification with Temporal Heterogeneity
ArXiv.org·2026Open Access
Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models
arXiv (Cornell University)·2025Open Access
From Sunrise to Sunset: Investigating Diurnal Rhythmic Patterns in Music Listening Habits in India
Lecture notes in computer science·2025
EMERALD-O: efficient multi-agent reinforcement learning framework for optimised deep learning hyperparameter tuning and selection
Applied Intelligence·2025
Analyzing Patterns and Influence of Advertising in Print Newspapers
2025Open Access
From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences
ACM Transactions on Asian and Low-Resource Language Information Processing·2025
Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling
2025Open Access
MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
arXiv (Cornell University)·2025Open Access
How Personal Narratives Empower Politically Disinclined Individuals to Engage in Political Discussions
2025Open Access
COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models
2025· 1 cited
Framing the Fray: Conflict Framing in Indian Election News Coverage
2025· 2 cited
Analyzing Patterns and Influence of Advertising in Print Newspapers
arXiv (Cornell University)·2025Open Access
Topo Goes Political: TDA-Based Controversy Detection in Imbalanced Reddit Political Data
2025Open Access
Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling
arXiv (Cornell University)·2025Open Access
Higher Order Structures for Graph Explanations
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Deep learning and transfer learning to understand emotions: a PoliEMO dataset and multi-label classification in Indian elections
International Journal of Data Science and Analytics·2025· 3 cited
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
arXiv (Cornell University)·2025Open Access
SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models
arXiv (Cornell University)·2025Open Access
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
2025Open Access
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Frequent Co-authors

Lorrie Faith Cranor(9), Aditi Gupta(9), Alessandro Acquisti(6), Jason Hong(6), Steve Sheng(5), Rajiv Ratn Shah(4), Virgı́lio Almeida(4), Anupama Aggarwal(4), Anupam Joshi(3), Shivangi Singhal(3), Sawinder Kaur(3), Iulia Ion(3), Niharika Sachdeva(3), Srđjan Čapkun(3), Indira Sen(3), Hemank Lamba(2), Elizabeth Nunge(2), Tanmoy Chakraborty(2), Yong Rhee(2), Wagner Meira(2)