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20032026
most citedA Multi-task Approach for Named Entity Recognition in Social Media Data

150 citations · 457 across the 69 of their papers we have counts for

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Showing 2025 · cs.CLShow all

9 papers · 2 filters

cs.CL2025★ 1 cited

Beyond Understanding: Evaluating the Pragmatic Gap in LLMs' Cultural Processing of Figurative Language

Mena Attia, Aashiq Muhamed, Mai Alkhamissi +2

We present a comprehensive evaluation of the ability of large language models (LLMs) to process culturally grounded language, specifically to understand and pragmatically use figur…

cs.CL2025

CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset

Brian Yan, Injy Hamed, Shuichiro Shimizu +24

We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4…

cs.CL2025★ 1 cited

VMMU: A Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark

Vy Tuong Dang, An Vo, Emilio Villa-Cueva +4

We introduce VMMU, a Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark designed to evaluate how vision-language models (VLMs) interpret and reason over visual a…

cs.CL2025

MOMENTS: A Comprehensive Multimodal Benchmark for Theory of Mind

Emilio Villa-Cueva, S M Masrur Ahmed, Rendi Chevi +7

Understanding Theory of Mind is essential for building socially intelligent multimodal agents capable of perceiving and interpreting human behavior. We introduce MoMentS (Multimoda…

cs.CL2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation

Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32

Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…

cs.CL2025★ 1 cited

How Individual Traits and Language Styles Shape Preferences In Open-ended User-LLM Interaction: A Preliminary Study

Rendi Chevi, Kentaro Inui, Thamar Solorio +1

What makes an interaction with the LLM more preferable for the user? While it is intuitive to assume that information accuracy in the LLM's responses would be one of the influentia…