3 papers
cs.CL2025
GIER: Gap-Driven Self-Refinement for Large Language Models
Rinku Dewri
We introduce GIER (Gap-driven Iterative Enhancement of Responses), a general framework for improving large language model (LLM) outputs through self-reflection and revision based o…
cs.CL2025
Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents
Rinku Dewri
This article explores the gaps that can manifest when using a large language model (LLM) to obtain simplified interpretations of data practices from a complex privacy policy. We ex…
cs.CL2025
Natural Language Processing of Privacy Policies: A Survey
Andrick Adhikari, Sanchari Das, Rinku Dewri
Natural Language Processing (NLP) is an essential subset of artificial intelligence. It has become effective in several domains, such as healthcare, finance, and media, to identify…