Papers by Manoj Apte
QueryShield: A Platform to Mitigate Enterprise Data Leakage in Queries to External LLMs (2025.naacl-industry)
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Nitin Ramrakhiyani, Delton Myalil, Sachin Pawar, Manoj Apte, Rajan M A, Divyesh Saglani, Imtiyazuddin Shaik
| Challenge: | Unrestricted access to external Large Language Models (LLMs) based services like ChatGPT and Gemini can lead to data leakages, especially for large enterprises providing products and services that require confidentiality guarantees. |
| Approach: | They propose a platform that enterprises can use to query external Large Language Models without leaking confidential internal and client information. |
| Outcome: | The proposed solution minimizes data leakage while limiting impact to semantics while preserving the accuracy of the model candidates. |
Why Generate When You Can Discriminate? A Novel Technique for Text Classification using Language Models (2024.findings-eacl)
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| Challenge: | Existing methods for text classification using autoregressive language models are limited . authors propose a novel technique for text classification using autoreregressives . |
| Approach: | They propose a two-step technique for text classification using autoregressive language models . they use a set of perplexity and log-likelihood based numeric features to elicit a text instance . |
| Outcome: | The proposed technique eliminates parameter updates in LMs and does not limit training examples . it is evaluated across 5 datasets and compares with multiple competent baselines . |
Argumentation and Judgement Factors: LLM-based Discovery and Application in Insurance Disputes (2026.eacl-long)
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| Challenge: | In this paper, we focus on finding legal factors for a specific case type under consideration . we propose a multi-step approach for discovering a list of AJFs for . a given case type. |
| Approach: | They propose a multi-step approach for discovering a list of AJFs for a given case type . they construct and evaluate the discovered list on two different types of cases . |
| Outcome: | The proposed approach is based on a set of relevant legal documents and a large-scale LLM. |