Papers by Bhavani Thuraisingham
LPC: A Logits and Parameter Calibration Framework for Continual Learning (2022.findings-emnlp)
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| Challenge: | Existing approaches to solve catastrophic forgetting problem are varied . current approaches to learn continuous learning are based on replay-based methods . |
| Approach: | They propose to calibrate parameters and logits so that preserving old parameters and generalized learning on new concepts can be solved simultaneously. |
| Outcome: | The proposed model achieves state-of-the-art performance in all scenarios. |
PEAR: Planner-Executor Agent Robustness Benchmark (2026.findings-eacl)
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| Challenge: | Existing studies examine isolated attack surfaces or specific scenarios, leaving a lack of holistic understanding of MAS vulnerabilities. |
| Approach: | They propose a benchmark to evaluate the utility and vulnerability of planner–executor MAS. |
| Outcome: | The proposed benchmark evaluates planner–executor MAS on a widely adopted design. |