1 citations · 1 across the 6 of their papers we have counts for
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When Semantic Overlap Is Not Enough: Cross-Lingual Euphemism Transfer Between Turkish and English
Hasan Can Biyik, Libby Barak, Jing Peng +1
Euphemisms substitute socially sensitive expressions, often softening or reframing meaning, and their reliance on cultural and pragmatic context complicates modeling across languag…
When Does Language Transfer Help? Sequential Fine-Tuning for Cross-Lingual Euphemism Detection
Julia Sammartino, Libby Barak, Jing Peng +1
Euphemisms are culturally variable and often ambiguous, posing challenges for language models, especially in low-resource settings. This paper investigates how cross-lingual transf…
NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database
Weizhi Fei, Hao Shi, Jing Xu +7
Efficiently editing knowledge stored in large language models (LLMs) enables model updates without large-scale training. One possible solution is Locate-and-Edit (L\&E), allowing s…
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
Junyu Luo, Zhizhuo Kou, Liming Yang +10
Multimodal Large Language Models (MLLMs) have experienced rapid development in recent years. However, in the financial domain, there is a notable lack of effective and specialized…
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms
Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte +6
This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages. We train a multilingual transformer model (XLM-RoB…