K. P. Subbalakshmi

Computer Science · Physical Sciences

30h-index3.7kcitations175works2.62yr avg
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Research Topics

Cognitive Radio Networks and Spectrum Sensing(33), Chaos-based Image/Signal Encryption(27), Advanced Steganography and Watermarking Techniques(22), Cooperative Communication and Network Coding(17), Digital Media Forensic Detection(17)

Publications175 total

Listen to the Layers: Mitigating Hallucinations with Inter-Layer Disagreement
arXiv (Cornell University)·2026Open Access
Listen to the Layers: Mitigating Hallucinations with Inter-Layer Disagreement
ArXiv.org·2026Open Access
Decoding Alzheimer’s: Interpretable Visual and Logical Attention in Picture Description Tasks
2025
MSFT-transformer: a multistage fusion tabular transformer for disease prediction using metagenomic data
Briefings in Bioinformatics·2025· 1 citedOpen Access
FinAudio: A Benchmark for Audio Large Language Models in Financial Applications
arXiv (Cornell University)·2025Open Access
INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
2025· 1 citedOpen Access
INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
arXiv (Cornell University)·2024Open Access
THE LANGUAGE OF LONELINESS: ANALYZING UNSTRUCTURED SPEECH TO DETECT LONELINESS AND SOCIAL ISOLATION
Innovation in Aging·2024Open Access
ECC Analyzer: Extracting Trading Signal from Earnings Conference Calls using Large Language Model for Stock Volatility Prediction
2024· 9 citedOpen Access
Fed-FIDS: A Efficient Federated Learning-based Intrusion Detection Framework
2024· 2 cited
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
arXiv (Cornell University)·2024· 11 citedOpen Access
Decoding loneliness: Can explainable AI help in understanding language differences in lonely older adults?
Psychiatry Research·2024· 8 citedOpen Access
ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction
arXiv (Cornell University)·2024· 2 citedOpen Access
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data
arXiv (Cornell University)·2024· 4 citedOpen Access
Guest Editorial: New Developments in Explainable and Interpretable Artificial Intelligence
IEEE Transactions on Artificial Intelligence·2024Open Access
Can Large Language Models Detect Misinformation in Scientific News Reporting?
arXiv (Cornell University)·2024Open Access
Systematic Mapping Study of Systems Security Engineering for Modular Open Systems
IEEE Open Journal of Systems Engineering·2024Open Access
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
2024· 7 cited
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks
arXiv (Cornell University)·2023Open Access
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks
2023· 6 citedOpen Access
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Frequent Co-authors

R. Chandramouli(20), Chetan Nanjunda Mathur(8), S. Anand(8), Z. Jin(5), Shamik Sengupta(5), Yiping Xing(4), M.A. Haleem(4), Goce Jakimoski(4), Yi-Fei Tan(4), Seyed Eman Mahmoodi(2), RN Uma(2), Na Cheng(2), Alireza Louni(2), Xiaoling Chen(2), J. Vaisey(2), Vidya Sagar(2), Karthik Narayan(2), Shubhashis Sengupta(2), Mingxuan Chen(2), Zongru Shao(2)