Image de couverture de livre

How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Jiyue, Chen, Pengan, Chen, Liheng, Wang, Sheng, Bao, Qinghang, Kong, Lingpeng, Li, Yu, Wu, Chuan
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models
par: Jiang, Jiyue, et autres
Publié: (2025)

Data Augmentation of Multi-turn Psychological Dialogue via Knowledge-driven Progressive Thought Prompting
par: Jiang, Jiyue, et autres
Publié: (2024)

LoRA Meets Dropout under a Unified Framework
par: Wang, Sheng, et autres
Publié: (2024)

HKCanto-Eval: A Benchmark for Evaluating Cantonese Language Understanding and Cultural Comprehension in LLMs
par: Cheng, Tsz Chung, et autres
Publié: (2025)

MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
par: Wang, Sheng, et autres
Publié: (2024)

Large Language Models in Bioinformatics: A Survey
par: Wang, Zhenyu, et autres
Publié: (2025)

Evaluating Modern Large Language Models on Low-Resource and Morphologically Rich Languages:A Cross-Lingual Benchmark Across Cantonese, Japanese, and Turkish
par: Xia, Chengxuan, et autres
Publié: (2025)

CantoASR: Prosody-Aware ASR-LALM Collaboration for Low-Resource Cantonese
par: Chen, Dazhong, et autres
Publié: (2025)

Human-LLM Collaborative Construction of a Cantonese Emotion Lexicon
par: Zhang, Yusong, et autres
Publié: (2024)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
par: Jiang, Jiyue, et autres
Publié: (2025)

\textsc{CantoNLU}: A benchmark for Cantonese natural language understanding
par: Min, Junghyun, et autres
Publié: (2025)

Syllable based DNN-HMM Cantonese Speech to Text System
par: Wong, Timothy, et autres
Publié: (2024)

Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA
par: Pei, Renhao, et autres
Publié: (2026)

PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
par: Wang, Sheng, et autres
Publié: (2024)

CANTONMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
par: Hong, Kung Yin, et autres
Publié: (2024)

Lost in the Pipeline: How Well Do Large Language Models Handle Data Preparation?
par: Spreafico, Matteo, et autres
Publié: (2025)

CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data
par: Hong, Kung Yin, et autres
Publié: (2024)

A Principle-Driven Adaptive Policy for Group Cognitive Stimulation Dialogue for Elderly with Cognitive Impairment
par: Jiang, Jiyue, et autres
Publié: (2026)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
par: Ye, Jiacheng, et autres
Publié: (2024)

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
par: Wang, Sheng, et autres
Publié: (2025)

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
par: Calonge, David Santandreu, et autres
Publié: (2025)

How do Large Language Models Handle Multilingualism?
par: Zhao, Yiran, et autres
Publié: (2024)

Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration
par: Li, Qintong, et autres
Publié: (2024)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
par: Zhao, Xueliang, et autres
Publié: (2025)

How Well Do LLMs Identify Cultural Unity in Diversity?
par: Li, Jialin, et autres
Publié: (2024)

LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models
par: Li, Xinxin, et autres
Publié: (2025)

How Well Do Large Language Models Truly Ground?
par: Lee, Hyunji, et autres
Publié: (2023)

Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
par: Li, Qintong, et autres
Publié: (2023)

How Well Do Large Language Models Disambiguate Swedish Words?
par: Johansson, Richard
Publié: (2024)

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
par: Zhao, Xueliang, et autres
Publié: (2025)

Investigation of the use of anthocyanins in Cantonese sausage as a nitrite alternative
par: Jiaqi Zhu, et autres
Publié: (2025)

Dream 7B: Diffusion Large Language Models
par: Ye, Jiacheng, et autres
Publié: (2025)

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
par: Li, Qintong, et autres
Publié: (2024)

PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
par: Zhao, Xueliang, et autres
Publié: (2025)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
par: Liu, Yixin, et autres
Publié: (2023)

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
par: Jiang, Botian, et autres
Publié: (2024)

WenetSpeech-Yue: A Large-scale Cantonese Speech Corpus with Multi-dimensional Annotation
par: Li, Longhao, et autres
Publié: (2025)

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
par: Prange, Jakob, et autres
Publié: (2021)

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration
par: Gao, Jiahui, et autres
Publié: (2024)

Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models
par: Tang, Xushuo, et autres
Publié: (2025)