Copertina

HumorPlanSearch: Structured Planning and HuCoT for Contextual AI Humor

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Dubey, Shivam
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Re-defining Humor Data Objects for AI Humor Research
di: Arnett, Anna, et al.
Pubblicazione: (2026)

Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition
di: Zhu, Haohao, et al.
Pubblicazione: (2025)

BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle
di: Hwang, EunJeong, et al.
Pubblicazione: (2025)

LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification
di: Khurana, Tanisha, et al.
Pubblicazione: (2024)

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

Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor
di: Sharshar, Ahmed, et al.
Pubblicazione: (2026)

Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content
di: Kasu, Sai Kartheek Reddy, et al.
Pubblicazione: (2025)

HumorRank: A Tournament-Based Leaderboard for Evaluating Humor Generation in Large Language Models
di: Ajayi, Edward, et al.
Pubblicazione: (2026)

DuanzAI: Slang-Enhanced LLM with Prompt for Humor Understanding
di: Rohn, Yesian
Pubblicazione: (2024)

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation
di: Ajayi, Edward, et al.
Pubblicazione: (2026)

Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
di: Horvitz, Zachary, et al.
Pubblicazione: (2024)

Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
di: Hu, Zhe, et al.
Pubblicazione: (2024)

Timing is Everything: Temporal Scaffolding of Semantic Surprise in Humor
di: Ma, Yuxi, et al.
Pubblicazione: (2026)

Humor Mechanics: Advancing Humor Generation with Multistep Reasoning
di: Tikhonov, Alexey, et al.
Pubblicazione: (2024)

Bypassing Safety Guardrails in LLMs Using Humor
di: Cisneros-Velarde, Pedro
Pubblicazione: (2025)

Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
di: Kim, Shubin, et al.
Pubblicazione: (2026)

CleanComedy: Creating Friendly Humor through Generative Techniques
di: Vikhorev, Dmitry, et al.
Pubblicazione: (2024)

Hummus: A Dataset of Humorous Multimodal Metaphor Use
di: Tong, Xiaoyu, et al.
Pubblicazione: (2025)

Oogiri-Master: Benchmarking Humor Understanding via Oogiri
di: Murakami, Soichiro, et al.
Pubblicazione: (2025)

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
di: Zhang, Jifan, et al.
Pubblicazione: (2024)

THInC: A Theory-Driven Framework for Computational Humor Detection
di: De Marez, Victor, et al.
Pubblicazione: (2024)

Can Pre-trained Language Models Understand Chinese Humor?
di: Chen, Yuyan, et al.
Pubblicazione: (2024)

Chumor 2.0: Towards Benchmarking Chinese Humor Understanding
di: He, Ruiqi, et al.
Pubblicazione: (2024)

Small But Funny: A Feedback-Driven Approach to Humor Distillation
di: Ravi, Sahithya, et al.
Pubblicazione: (2024)

StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos
di: Barriere, Valentin, et al.
Pubblicazione: (2025)

Engagement Undermines Safety: How Stereotypes and Toxicity Shape Humor in Language Models
di: Dogra, Atharvan, et al.
Pubblicazione: (2025)

Dark & Stormy: Modeling Humor in Sentences from the Bulwer-Lytton Fiction Contest
di: Govindarajan, Venkata S, et al.
Pubblicazione: (2025)

Not All Jokes Land: Evaluating Large Language Models Understanding of Workplace Humor
di: Shafiei, Mohammadamin, et al.
Pubblicazione: (2025)

Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor
di: Baluja, Ashwin
Pubblicazione: (2024)

Pun Unintended: LLMs and the Illusion of Humor Understanding
di: Zangari, Alessandro, et al.
Pubblicazione: (2025)

One Joke to Rule them All? On the (Im)possibility of Generalizing Humor
di: Turgeman, Mor, et al.
Pubblicazione: (2025)

Memes-as-Replies: Can Models Select Humorous Manga Panel Responses?
di: Kohita, Ryosuke, et al.
Pubblicazione: (2026)

Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models
di: Fettach, Yousra, et al.
Pubblicazione: (2026)

AI Humor Generation: Cognitive, Social and Creative Skills for Effective Humor
di: Kim, Sean, et al.
Pubblicazione: (2025)

lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation
di: Tikhonov, Alexey, et al.
Pubblicazione: (2026)

CFunModel: A "Funny" Language Model Capable of Chinese Humor Generation and Processing
di: Yu, Zhenghan, et al.
Pubblicazione: (2025)

Psycho-linguistic Experiment on Universal Semantic Components of Verbal Humor: System Description and Annotation
di: Mikhalkova, Elena, et al.
Pubblicazione: (2024)

On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation
di: Shang, Wenbo, et al.
Pubblicazione: (2026)

Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
di: Ryan, Yuriel, et al.
Pubblicazione: (2025)

HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation
di: Zhang, Jiajun, et al.
Pubblicazione: (2025)