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Dipankar Srirag

2 accepted papers

2025

BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English

ACL 2025finding

Despite large language models (LLMs) being known to exhibit bias against non-mainstream varieties, there are no known labeled datasets for sentiment analysis of English. To address this gap, we introduce BESSTIE, a benchmark for sentiment and sarcasm classification for three varieties of English: Au…

Cited by 0SourcePDFScholar
2025

Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models

NAACL 2025short

Dialect adapters that improve the performance of LLMs for NLU tasks on certain sociolects/dialects/national varieties (‘dialects’ for the sake of brevity) have been reported for encoder models. In this paper, we extend the idea of dialect adapters to decoder models in our architecture called LoRDD.…

Cited by 1SourcePDFScholar