150 citations · 457 across the 69 of their papers we have counts for
6 papers · 1 filter
SyRA-CS: Synthetic-to-Real Adaptation for Code-Switched ASR with Meta-Learning
Fadel Thior, Ahmer Tabassum, Haania Siddiqui +2
Code-switched (CS) automatic speech recognition (ASR) remains difficult because real CS speech is scarce and synthetic speech does not fully match it. We investigate whether synthe…
Measuring Research Progress and Linguistic Inclusion in Low-Resource Languages
Atnafu Lambebo Tonja, Tadesse Destaw Belay, Jesujoba Oluwadara Alabi +6
Large Language Models (LLMs) have accelerated research on low-resource and multilingual NLP, but their effectiveness in creating an equitable landscape remains unmapped. We analyze…
Regime Detection in Latent Factor Models -- A Bayesian Decision-Theoretic Approach
Karl Kristian Engelund
Regime-switching multi-factor models are widely used in quantitative finance, but filtering does not by itself determine when an agent should act on inferred regime changes. We for…
Deep and shallow biases in language models
An Vo, Vy Tuong Dang, Khai-Nguyen Nguyen +4
Large language models often repeatedly select the same answer even when many alternatives are plausible. Prior work treats this concentration as bias, but it does not distinguish s…
Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning
Mena Attia, Mona Diab, Thamar Solorio
Figurative language is deeply culturally embedded; fluent use requires not just linguistic competence but cultural immersion. We ask whether LLMs can learn this link: does fine-tun…
Afri-MCQA: Multimodal Cultural Question Answering for African Languages
Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva +16
Africa is home to over one-third of the world's languages, yet remains underrepresented in AI research. We introduce Afri-MCQA, the first Multilingual Cultural Question-Answering b…