Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Fettach, Yousra, Bied, Guillaume, Toivonen, Hannu, De Bie, Tijl |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Building and Measuring Trust between Large Language Models
by: Buyl, Maarten, et al.
Published: (2025)
by: Buyl, Maarten, et al.
Published: (2025)
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
by: Noels, Sander, et al.
Published: (2025)
by: Noels, Sander, et al.
Published: (2025)
Untangling Input Language from Reasoning Language: A Diagnostic Framework for Cross-Lingual Moral Alignment in LLMs
by: Li, Nan, et al.
Published: (2026)
by: Li, Nan, et al.
Published: (2026)
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
by: Li, Nan, et al.
Published: (2024)
by: Li, Nan, et al.
Published: (2024)
Benchmarking Distributional Alignment of Large Language Models
by: Meister, Nicole, et al.
Published: (2024)
by: Meister, Nicole, et al.
Published: (2024)
A Dutch Financial Large Language Model
by: Noels, Sander, et al.
Published: (2024)
by: Noels, Sander, et al.
Published: (2024)
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
by: Horvitz, Zachary, et al.
Published: (2024)
by: Horvitz, Zachary, et al.
Published: (2024)
Benchmarking Multi-National Value Alignment for Large Language Models
by: Shi, Weijie, et al.
Published: (2025)
by: Shi, Weijie, et al.
Published: (2025)
Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor
by: Sharshar, Ahmed, et al.
Published: (2026)
by: Sharshar, Ahmed, et al.
Published: (2026)
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
by: Yi, Jingwei, et al.
Published: (2023)
by: Yi, Jingwei, et al.
Published: (2023)
Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
by: Ryan, Yuriel, et al.
Published: (2025)
by: Ryan, Yuriel, et al.
Published: (2025)
Large Language Models Reflect the Ideology of their Creators
by: Buyl, Maarten, et al.
Published: (2024)
by: Buyl, Maarten, et al.
Published: (2024)
Oogiri-Master: Benchmarking Humor Understanding via Oogiri
by: Murakami, Soichiro, et al.
Published: (2025)
by: Murakami, Soichiro, et al.
Published: (2025)
Flames: Benchmarking Value Alignment of LLMs in Chinese
by: Huang, Kexin, et al.
Published: (2023)
by: Huang, Kexin, et al.
Published: (2023)
Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications
by: Noels, Sander, et al.
Published: (2024)
by: Noels, Sander, et al.
Published: (2024)
Can Pre-trained Language Models Understand Chinese Humor?
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
AlignBench: Benchmarking Chinese Alignment of Large Language Models
by: Liu, Xiao, et al.
Published: (2023)
by: Liu, Xiao, et al.
Published: (2023)
Chumor 2.0: Towards Benchmarking Chinese Humor Understanding
by: He, Ruiqi, et al.
Published: (2024)
by: He, Ruiqi, et al.
Published: (2024)
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
by: Guo, Qianhong, et al.
Published: (2025)
by: Guo, Qianhong, et al.
Published: (2025)
Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Model
by: Wang, Siyin, et al.
Published: (2024)
by: Wang, Siyin, et al.
Published: (2024)
Fundamental Limitations of Alignment in Large Language Models
by: Wolf, Yotam, et al.
Published: (2023)
by: Wolf, Yotam, et al.
Published: (2023)
Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs
by: Zhou, Kuan Lok, et al.
Published: (2025)
by: Zhou, Kuan Lok, et al.
Published: (2025)
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary
by: Tao, Meiling, et al.
Published: (2024)
by: Tao, Meiling, et al.
Published: (2024)
House of Cards: Massive Weights in LLMs
by: Oh, Jaehoon, et al.
Published: (2024)
by: Oh, Jaehoon, et al.
Published: (2024)
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
by: Choi, Minje, et al.
Published: (2023)
by: Choi, Minje, et al.
Published: (2023)
Unlocking the Power of Large Language Models for Entity Alignment
by: Jiang, Xuhui, et al.
Published: (2024)
by: Jiang, Xuhui, et al.
Published: (2024)
Progressively Label Enhancement for Large Language Model Alignment
by: Liu, Biao, et al.
Published: (2024)
by: Liu, Biao, et al.
Published: (2024)
Cultural Bias and Cultural Alignment of Large Language Models
by: Tao, Yan, et al.
Published: (2023)
by: Tao, Yan, et al.
Published: (2023)
FLAME: Factuality-Aware Alignment for Large Language Models
by: Lin, Sheng-Chieh, et al.
Published: (2024)
by: Lin, Sheng-Chieh, et al.
Published: (2024)
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
by: Li, Danrui, et al.
Published: (2025)
by: Li, Danrui, et al.
Published: (2025)
Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench
by: Narad, Reuben, et al.
Published: (2025)
by: Narad, Reuben, et al.
Published: (2025)
Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation
by: Sakabe, Ritsu, et al.
Published: (2025)
by: Sakabe, Ritsu, et al.
Published: (2025)
Codenames as a Benchmark for Large Language Models
by: Stephenson, Matthew, et al.
Published: (2024)
by: Stephenson, Matthew, et al.
Published: (2024)
Benchmarking the Pedagogical Knowledge of Large Language Models
by: Lelièvre, Maxime, et al.
Published: (2025)
by: Lelièvre, Maxime, et al.
Published: (2025)
Large Language Model Benchmarks in Medical Tasks
by: Yan, Lawrence K. Q., et al.
Published: (2024)
by: Yan, Lawrence K. Q., et al.
Published: (2024)
BELL: Benchmarking the Explainability of Large Language Models
by: Ahmed, Syed Quiser, et al.
Published: (2025)
by: Ahmed, Syed Quiser, et al.
Published: (2025)
DeFrame: Debiasing Large Language Models Against Framing Effects
by: Lim, Kahee, et al.
Published: (2026)
by: Lim, Kahee, et al.
Published: (2026)
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023)
by: Li, Moxin, et al.
Published: (2023)
Escaping Collapse: The Strength of Weak Data for Large Language Model Training
by: Amin, Kareem, et al.
Published: (2025)
by: Amin, Kareem, et al.
Published: (2025)
When Quantization Affects Confidence of Large Language Models?
by: Proskurina, Irina, et al.
Published: (2024)
by: Proskurina, Irina, et al.
Published: (2024)
Similar Items
-
Building and Measuring Trust between Large Language Models
by: Buyl, Maarten, et al.
Published: (2025) -
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
by: Noels, Sander, et al.
Published: (2025) -
Untangling Input Language from Reasoning Language: A Diagnostic Framework for Cross-Lingual Moral Alignment in LLMs
by: Li, Nan, et al.
Published: (2026) -
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
by: Li, Nan, et al.
Published: (2024) -
Benchmarking Distributional Alignment of Large Language Models
by: Meister, Nicole, et al.
Published: (2024)