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20242026
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cs.CL2026

A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment

Rashini Liyanarachchi, Frank Tran, Md Mahmudul Hasan +2

Emotion recognition of song lyrics is a challenging task since lyrics may not necessarily align with the overall emotion of a song. As a result, lyrics annotation remains largely u…

cs.CL2026

Narrative Theory-Driven LLM Methods for Automatic Story Generation and Understanding: A Survey

David Y. Liu, Aditya Joshi, Paul Dawson

Applications of narrative theories using large language models (LLMs) deliver promising methods in automatic story generation and understanding tasks. Our survey examines how natur…

cs.CL2026

Far Out: Evaluating Language Models on Slang in Australian and Indian English

Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi

Language models exhibit systematic performance gaps when processing text in non-standard language varieties, yet their ability to comprehend variety-specific slang remains underexp…

cs.CL2026

In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement

Anudeex Shetty, Aditya Joshi, Salil S. Kanhere

Humans are susceptible to undesirable behaviours and privacy leaks under the influence of alcohol. This paper investigates drunk language, i.e., text written under the influence of…

cs.CL2025

LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models

Sammriddh Gupta, Sonit Singh, Aditya Joshi +1

Language educators strive to create a rich experience for learners, while they may be restricted in the extend of feedback and practice they can provide. We present the design and…

cs.CL2025

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

Dipankar Srirag, Aditya Joshi, Jacob Eisenstein

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 en…