Imagen de Portada

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Jifan, Jain, Lalit, Guo, Yang, Chen, Jiayi, Zhou, Kuan Lok, Suresh, Siddharth, Wagenmaker, Andrew, Sievert, Scott, Rogers, Timothy, Jamieson, Kevin, Mankoff, Robert, Nowak, Robert
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs
por: Zhou, Kuan Lok, et al.
Publicado: (2025)

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench
por: Narad, Reuben, et al.
Publicado: (2025)

Learning to Actively Learn: A Robust Approach
por: Zhang, Jifan, et al.
Publicado: (2020)

Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
por: Nuggehalli, Shyam, et al.
Publicado: (2023)

Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
por: Tajdini, Artin, et al.
Publicado: (2023)

Learning to Think Like a Cartoon Captionist: Incongruity-Resolution Supervision for Multimodal Humor Understanding
por: Vural, Hatice Merve, et al.
Publicado: (2026)

Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
por: Narang, Adhyyan, et al.
Publicado: (2024)

The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents
por: Chuang, Yun-Shiuan, et al.
Publicado: (2023)

AHA: Human-Assisted Out-of-Distribution Generalization and Detection
por: Bai, Haoyue, et al.
Publicado: (2024)

Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding
por: Chuang, Yun-Shiuan, et al.
Publicado: (2025)

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
por: Xiong, Zhihan, et al.
Publicado: (2023)

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
por: Wagenmaker, Andrew, et al.
Publicado: (2024)

Evaluating Steering Techniques using Human Similarity Judgments
por: Studdiford, Zach, et al.
Publicado: (2025)

Uncovering the Computational Ingredients of Human-Like Representations in LLMs
por: Studdiford, Zach, et al.
Publicado: (2025)

Deep Active Learning in the Open World
por: Xie, Tian, et al.
Publicado: (2024)

Library Buildings and Equipment: Sources of Information
por: Rogers, Robert
Publicado: (1972)

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs
por: Arabelly, Abhinav, et al.
Publicado: (2025)

The Humanities: A Selective Guide to Information Sources.
por: Rogers, A. Robert
Publicado: (1974)

Culture-Aware Humorous Captioning: Multimodal Humor Generation across Cultural Contexts
por: Xu, Run, et al.
Publicado: (2026)

GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data
por: Zhang, Jifan, et al.
Publicado: (2024)

CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability
por: Savner, Siddharth Singh, et al.
Publicado: (2022)

FairyGen: Storied Cartoon Video from a Single Child-Drawn Character
por: Zheng, Jiayi, et al.
Publicado: (2025)

Cartoon Gladius
por: gasparalmaraz
Publicado: (2019)

Clarence Thomas and the Tough Love Crowd
por: Roberts, Ronald Suresh
Publicado: (2024)

All politics are national: Partisan defection in national and subnational elections
por: Joel Sievert, et al.
Publicado: (2024)

Active learning of neural population dynamics using two-photon holographic optogenetics
por: Wagenmaker, Andrew, et al.
Publicado: (2024)

The Middle East and the Ukraine War: Between Fear and Opportunity
por: Jeffrey Mankoff
Publicado: (2024)

NYK-MS: A Well-annotated Multi-modal Metaphor and Sarcasm Understanding Benchmark on Cartoon-Caption Dataset
por: Chang, Ke, et al.
Publicado: (2024)

Learning from the Best: Active Learning for Wireless Communications
por: Soltani, Nasim, et al.
Publicado: (2024)

Cartooning in Biological Learning
por: Soukaina Bahsoun, et al.
Publicado: (2026)

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
por: Zhang, Jifan, et al.
Publicado: (2023)

Simulating Opinion Dynamics with Networks of LLM-based Agents
por: Chuang, Yun-Shiuan, et al.
Publicado: (2023)

The evolution of reliable and unreliable badges of fighting ability. / Sievert Rohwer
por: Rohwer, Sievert
Publicado: (1982)

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
por: Bhatt, Gantavya, et al.
Publicado: (2024)

Crowd-PrefRL: Preference-Based Reward Learning from Crowds
por: Chhan, David, et al.
Publicado: (2024)

Estimating the Self-Consistency of LLMs
por: Nowak, Robert
Publicado: (2025)

Teaching Polarization through Cartoons
por: Jaime Duván Reyes Roncancio
Publicado: (2017)

((Cartoons as a Teaching Technique)).
por: Rouse, William B., et al.
Publicado: (1979)

Cartoon Embellishments in Informative Presentations.
por: Sewell, Edward H., Jr., et al.
Publicado: (1980)

Cartooning the Cambridge University Libraries
por: Trowell, Clare Louise
Publicado: (2021)