Can Pre-trained Language Models Understand Chinese Humor?
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yuyan, Li, Zhixu, Liang, Jiaqing, Xiao, Yanghua, Liu, Bang, Chen, Yunwen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Recent Advancement of Emotion Cognition in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception
by: Huang, Yuncheng, et al.
Published: (2023)
by: Huang, Yuncheng, et al.
Published: (2023)
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Small Language Model Can Self-correct
by: Han, Haixia, et al.
Published: (2024)
by: Han, Haixia, et al.
Published: (2024)
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
by: Huang, Wenhao, et al.
Published: (2024)
by: Huang, Wenhao, et al.
Published: (2024)
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Can Large Language Models Understand Real-World Complex Instructions?
by: He, Qianyu, et al.
Published: (2023)
by: He, Qianyu, et al.
Published: (2023)
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
by: Li, Yanda, et al.
Published: (2024)
by: Li, Yanda, et al.
Published: (2024)
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
by: Yuan, Siyu, et al.
Published: (2023)
by: Yuan, Siyu, et al.
Published: (2023)
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)
by: Zhang, Yifei, et al.
Published: (2024)
Past Meets Present: Creating Historical Analogy with Large Language Models
by: Li, Nianqi, et al.
Published: (2024)
by: Li, Nianqi, et al.
Published: (2024)
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
QUILL: Quotation Generation Enhancement of Large Language Models
by: Xiao, Jin, et al.
Published: (2024)
by: Xiao, Jin, et al.
Published: (2024)
Why Did Apple Fall: Evaluating Curiosity in Large Language Models
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
XMeCap: Meme Caption Generation with Sub-Image Adaptability
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Chumor 2.0: Towards Benchmarking Chinese Humor Understanding
by: He, Ruiqi, et al.
Published: (2024)
by: He, Ruiqi, et al.
Published: (2024)
CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes
by: Zhao, Haokun, et al.
Published: (2024)
by: Zhao, Haokun, et al.
Published: (2024)
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
by: Ren, Qingyu, et al.
Published: (2025)
by: Ren, Qingyu, et al.
Published: (2025)
On Pre-training of Multimodal Language Models Customized for Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2024)
by: Fan, Wan-Cyuan, et al.
Published: (2024)
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation
by: Luo, Ziqin, et al.
Published: (2024)
by: Luo, Ziqin, et al.
Published: (2024)
CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs
by: Zhang, Jinghao, et al.
Published: (2025)
by: Zhang, Jinghao, et al.
Published: (2025)
Probing Language Models for Pre-training Data Detection
by: Liu, Zhenhua, et al.
Published: (2024)
by: Liu, Zhenhua, et al.
Published: (2024)
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
by: Du, Chengyu, et al.
Published: (2024)
by: Du, Chengyu, et al.
Published: (2024)
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
by: Huang, Wenhao, et al.
Published: (2024)
by: Huang, Wenhao, et al.
Published: (2024)
Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks
by: Huang, Yuncheng, et al.
Published: (2024)
by: Huang, Yuncheng, et al.
Published: (2024)
Understanding Data Temporality Impact on Large Language Models Pre-training
by: Pilchen, Hippolyte, et al.
Published: (2026)
by: Pilchen, Hippolyte, et al.
Published: (2026)
Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework
by: Chen, Yirui, et al.
Published: (2024)
by: Chen, Yirui, et al.
Published: (2024)
DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization
by: Wan, Zhuoyue, et al.
Published: (2024)
by: Wan, Zhuoyue, et al.
Published: (2024)
In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2025)
by: Fan, Wan-Cyuan, et al.
Published: (2025)
Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
by: He, Qianxi, et al.
Published: (2025)
by: He, Qianxi, et al.
Published: (2025)
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
by: Huang, Wenhao, et al.
Published: (2023)
by: Huang, Wenhao, et al.
Published: (2023)
Skeletons Matter: Dynamic Data Augmentation for Text-to-Query
by: Ji, Yuchen, et al.
Published: (2025)
by: Ji, Yuchen, et al.
Published: (2025)
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
by: Qian, Chen, et al.
Published: (2024)
by: Qian, Chen, et al.
Published: (2024)
A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
by: Han, Jinyi, et al.
Published: (2025)
by: Han, Jinyi, et al.
Published: (2025)
Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
by: Han, Jinyi, et al.
Published: (2025)
by: Han, Jinyi, et al.
Published: (2025)
Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba
by: He, Ruiqi, et al.
Published: (2024)
by: He, Ruiqi, et al.
Published: (2024)
What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
by: Zhang, Bowei, et al.
Published: (2025)
by: Zhang, Bowei, et al.
Published: (2025)
Similar Items
-
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024) -
Recent Advancement of Emotion Cognition in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024) -
Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception
by: Huang, Yuncheng, et al.
Published: (2023) -
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
by: Chen, Yuyan, et al.
Published: (2024) -
Small Language Model Can Self-correct
by: Han, Haixia, et al.
Published: (2024)