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Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge
Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon +3
Most multilingual question-answering benchmarks, while covering a diverse pool of languages, do not factor in regional diversity in the information they capture and tend to be West…
Understanding the Effects of Domain Finetuning on LLMs
Eshaan Tanwar, Deepak Nathani, William Yang Wang +1
Large Language Models (LLMs) fine-tuned for specific domains exhibit strong performance; however, the underlying mechanisms by which this fine-tuning reshapes their parametric spac…
Multilingual LLMs Struggle to Link Orthography and Semantics in Bilingual Word Processing
Eshaan Tanwar, Gayatri Oke, Tanmoy Chakraborty
Bilingual lexical processing is shaped by the complex interplay of phonological, orthographic, and semantic features of two languages within an integrated mental lexicon. In humans…
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta +1
Large Language Models (LLMs) have transformed NLP with their remarkable In-context Learning (ICL) capabilities. Automated assistants based on LLMs are gaining popularity; however,…
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment
Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur +1
In-context learning (ICL) unfolds as large language models become capable of inferring test labels conditioned on a few labeled samples without any gradient update. ICL-enabled lar…
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Md Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar +2
Hate speech in social media is a growing phenomenon, and detecting such toxic content has recently gained significant traction in the research community. Existing studies have expl…