Papers by Tikka Arjun Singh Bedi
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts (2025.emnlp-main)
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Georgios Chochlakis, Peter Wu, Tikka Arjun Singh Bedi, Marcus Ma, Kristina Lerman, Shrikanth Narayanan
| Challenge: | Existing approaches to model complex subjective tasks in natural language are limited by significant variation in annotations. |
| Approach: | They propose a simple in-context learning binary filtering baseline that estimates the reasonableness of a document-label pair. |
| Outcome: | The proposed approach can be integrated into annotation pipelines to enhance signal-to-noise ratios. |