Papers by Vipula Rawte

2 papers
Tutorial Proposal: Hallucination in Large Language Models (2024.lrec-tutorials)

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Challenge: Grasping the intricacies of hallucination in LLMs can be daunting, especially for those new to the field.
Approach: This tutorial aims to bridge the gap between the field and the field of hallucination . it will explore the key aspects of hallucinonation, including benchmarking, detection, and mitigation techniques .
Outcome: This tutorial will explore the key aspects of hallucination in LLMs . it will also explore the specific constraints and shortcomings of current approaches .
The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations (2023.emnlp-main)

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Challenge: Recent advances in Large Language Models have generated widespread acclaim, but hallucination has also emerged as a by-product.
Approach: They propose a fine-grained discourse on profiling hallucination based on its degree, orientation, and category . they categorize hallucines into six types: acronym ambiguity, generated golem, virtual voice, geographic erratum, time wrap .
Outcome: The proposed method categorizes hallucination into six types based on their degree, orientation, and category .

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