Papers by Agastya Seth
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs’ Memorization (2025.acl-long)
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Md Nayem Uddin, Amir Saeidi, Divij Handa, Agastya Seth, Tran Cao Son, Eduardo Blanco, Steven Corman, Chitta Baral
| Challenge: | UnSeenTimeQA is a data contamination-free time-sensitive question-answering benchmark. |
| Approach: | They propose a data contamination-free time-sensitive question-answering benchmark that avoids web-searchable queries grounded in the real world. |
| Outcome: | The proposed benchmark avoids web-searchable queries grounded in the real world and enables on-demand generation of new samples, mitigating the risk of data leakage. |
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness (2024.findings-acl)
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| Challenge: | Recent work on Large Language Models (LLMs) has identified a number of approaches to protect against their vulnerabilities and safety. |
| Approach: | They propose to use a large collection of safe and unsafe prompts to evaluate various LLM defense strategies over both ‘safety’ and ‘over-defensiveness’. |
| Outcome: | The proposed defense strategies are compared on multiple state-of-the-art LLMs and show that they are effective against both ‘safety’ and ‘over-defensiveness’. |