Papers by Megha Sharma
Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI) (2023.emnlp-main)
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Megha Chakraborty, S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Shreya Gautam, Tanay Kumar, Krish Sharma, Niyar Barman, Chandan Gupta, Vinija Jain, Aman Chadha, Amit Sheth, Amitava Das
| Challenge: | a number of issues have arisen regarding the risk and consequences of AI-generated text detection. |
| Approach: | They propose a counter-turing test to evaluate the robustness of existing AGTD methods . they propose ADI, a quantifiable spectrum to assess detectability of LLMs . |
| Outcome: | The proposed method evaluates the robustness of existing AGTD methods . it shows that larger LLMs tend to have lower ADI, indicating they are less detectable . |
Automated Digitization of Unstructured Medical Prescriptions (2023.acl-industry)
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| Challenge: | e-commerce prescription ordering is challenging in emerging markets since prescriptions are paper-based, unstructured and often, handwritten. |
| Approach: | They propose a prescription digitization system for online medicine ordering built with minimal supervision. |
| Outcome: | The proposed system achieves +5.9% gain in precision@3 and +5.6% in recall@3 over baselines on medication attribute extraction. |