Cover Image

Irony Detection, Reasoning and Understanding in Zero-shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yi, Peiling, Xia, Yuhan, Long, Yunfei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Augmenting emotion features in irony detection with Large language modeling
by: Lin, Yucheng, et al.
Published: (2024)

IAE: Irony-based Adversarial Examples for Sentiment Analysis Systems
by: Yi, Xiaoyin, et al.
Published: (2024)

Zero-shot Commonsense Reasoning over Machine Imagination
by: Park, Hyuntae, et al.
Published: (2024)

Confidence-guided Refinement Reasoning for Zero-shot Question Answering
by: Jang, Youwon, et al.
Published: (2025)

Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
by: Jiang, Ye, et al.
Published: (2025)

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
by: Li, Hanqing, et al.
Published: (2025)

Detecting harassment and defamation in cyberbullying with emotion-adaptive training
by: Yi, Peiling, et al.
Published: (2025)

Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection
by: Mastromattei, Michele, et al.
Published: (2024)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2023)

Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
by: Pisarevskaya, Dina, et al.
Published: (2025)

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection
by: Liu, Ziyan, et al.
Published: (2025)

ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models
by: Jo, Hwiyeol, et al.
Published: (2024)

DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning
by: Parekh, Tanmay, et al.
Published: (2025)

Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
by: Liu, Qiang, et al.
Published: (2025)

Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection
by: Latouche, Gaetan Lopez, et al.
Published: (2024)

MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions
by: Zhang, Jinming, et al.
Published: (2024)

Effectiveness of Zero-shot-CoT in Japanese Prompts
by: Takayama, Shusuke, et al.
Published: (2025)

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning
by: Zhou, Junjie, et al.
Published: (2025)

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
by: Taranukhin, Maksym, et al.
Published: (2024)

Anti-LM Decoding for Zero-shot In-context Machine Translation
by: Sia, Suzanna, et al.
Published: (2023)

Intent-driven In-context Learning for Few-shot Dialogue State Tracking
by: Yi, Zihao, et al.
Published: (2024)

TALEC: Teach Your LLM to Evaluate in Specific Domain with In-house Criteria by Criteria Division and Zero-shot Plus Few-shot
by: Zhang, Kaiqi, et al.
Published: (2024)

Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques
by: Schmitt, Marvin, et al.
Published: (2026)

Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
by: La Cava, Lucio, et al.
Published: (2026)

CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code
by: Ahmed, Tasnim, et al.
Published: (2025)

On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
by: Wang, Jianwei, et al.
Published: (2024)

Zero-shot cross-lingual transfer in instruction tuning of large language models
by: Chirkova, Nadezhda, et al.
Published: (2024)

T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task
by: Tong, Xindi, et al.
Published: (2024)

Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction
by: Zhang, Guangjun, et al.
Published: (2026)

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
by: Dijujin, Negin Hashemi, et al.
Published: (2025)

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
by: Wang, Taowen, et al.
Published: (2024)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

Geode: A Zero-shot Geospatial Question-Answering Agent with Explicit Reasoning and Precise Spatio-Temporal Retrieval
by: Gupta, Devashish Vikas, et al.
Published: (2024)

Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models
by: Pombal, José, et al.
Published: (2025)

MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer
by: Ye, Haotian, et al.
Published: (2024)

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
by: Li, Zekun, et al.
Published: (2024)

Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales
by: Li, Wenyu, et al.
Published: (2024)

ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
by: Luu, Son T., et al.
Published: (2024)

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)

Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training
by: Ngo, Nghia Trung, et al.
Published: (2024)