Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
Fuente:
arXiv
Guardado en:
| Autores principales: | Alhindi, Tariq, Muresan, Smaranda, Nakov, Preslav |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Missci: Reconstructing Fallacies in Misrepresented Science
por: Glockner, Max, et al.
Publicado: (2024)
por: Glockner, Max, et al.
Publicado: (2024)
Grounding Fallacies Misrepresenting Scientific Publications in Evidence
por: Glockner, Max, et al.
Publicado: (2024)
por: Glockner, Max, et al.
Publicado: (2024)
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
por: Chakrabarty, Tuhin, et al.
Publicado: (2023)
por: Chakrabarty, Tuhin, et al.
Publicado: (2023)
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
por: Saakyan, Arkadiy, et al.
Publicado: (2023)
por: Saakyan, Arkadiy, et al.
Publicado: (2023)
Designing and Evaluating Chain-of-Hints for Scientific Question Answering
por: Jangra, Anubhav, et al.
Publicado: (2025)
por: Jangra, Anubhav, et al.
Publicado: (2025)
Rethinking STS and NLI in Large Language Models
por: Wang, Yuxia, et al.
Publicado: (2023)
por: Wang, Yuxia, et al.
Publicado: (2023)
Forecasting Conversation Derailments Through Generation
por: Zhang, Yunfan, et al.
Publicado: (2025)
por: Zhang, Yunfan, et al.
Publicado: (2025)
Adapting Fake News Detection to the Era of Large Language Models
por: Su, Jinyan, et al.
Publicado: (2023)
por: Su, Jinyan, et al.
Publicado: (2023)
"Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline
por: Li, Grace, et al.
Publicado: (2024)
por: Li, Grace, et al.
Publicado: (2024)
Art or Artifice? Large Language Models and the False Promise of Creativity
por: Chakrabarty, Tuhin, et al.
Publicado: (2023)
por: Chakrabarty, Tuhin, et al.
Publicado: (2023)
ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability
por: Koike, Ryuto, et al.
Publicado: (2025)
por: Koike, Ryuto, et al.
Publicado: (2025)
Navigating the Landscape of Hint Generation Research: From the Past to the Future
por: Jangra, Anubhav, et al.
Publicado: (2024)
por: Jangra, Anubhav, et al.
Publicado: (2024)
Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
por: Rubashevskii, Aleksandr, et al.
Publicado: (2026)
por: Rubashevskii, Aleksandr, et al.
Publicado: (2026)
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
por: Vashurin, Roman, et al.
Publicado: (2025)
por: Vashurin, Roman, et al.
Publicado: (2025)
ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
por: Bates, Luke, et al.
Publicado: (2025)
por: Bates, Luke, et al.
Publicado: (2025)
DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
por: Ren, Kaixuan, et al.
Publicado: (2025)
por: Ren, Kaixuan, et al.
Publicado: (2025)
UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
por: Tomar, Raj Vardhan, et al.
Publicado: (2025)
por: Tomar, Raj Vardhan, et al.
Publicado: (2025)
Multimodal Large Language Models to Support Real-World Fact-Checking
por: Geng, Jiahui, et al.
Publicado: (2024)
por: Geng, Jiahui, et al.
Publicado: (2024)
Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
por: Zhang, Yunfan, et al.
Publicado: (2025)
por: Zhang, Yunfan, et al.
Publicado: (2025)
Refactoring Programs Using Large Language Models with Few-Shot Examples
por: Shirafuji, Atsushi, et al.
Publicado: (2023)
por: Shirafuji, Atsushi, et al.
Publicado: (2023)
CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
por: Orel, Daniil, et al.
Publicado: (2025)
por: Orel, Daniil, et al.
Publicado: (2025)
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
por: Gao, Lang, et al.
Publicado: (2024)
por: Gao, Lang, et al.
Publicado: (2024)
Exploring Language Model Generalization in Low-Resource Extractive QA
por: Sengupta, Saptarshi, et al.
Publicado: (2024)
por: Sengupta, Saptarshi, et al.
Publicado: (2024)
DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
por: Thareja, Rushil, et al.
Publicado: (2025)
por: Thareja, Rushil, et al.
Publicado: (2025)
LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated News
por: Zhang, Yunfan, et al.
Publicado: (2026)
por: Zhang, Yunfan, et al.
Publicado: (2026)
Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity
por: Saakyan, Arkadiy, et al.
Publicado: (2025)
por: Saakyan, Arkadiy, et al.
Publicado: (2025)
A Survey of Confidence Estimation and Calibration in Large Language Models
por: Geng, Jiahui, et al.
Publicado: (2023)
por: Geng, Jiahui, et al.
Publicado: (2023)
Large Language Models for Few-Shot Named Entity Recognition
por: Zhao, Yufei, et al.
Publicado: (2018)
por: Zhao, Yufei, et al.
Publicado: (2018)
Understanding Figurative Meaning through Explainable Visual Entailment
por: Saakyan, Arkadiy, et al.
Publicado: (2024)
por: Saakyan, Arkadiy, et al.
Publicado: (2024)
VideoNorms: Benchmarking Cultural Awareness of Video Language Models
por: Varimalla, Nikhil Reddy, et al.
Publicado: (2025)
por: Varimalla, Nikhil Reddy, et al.
Publicado: (2025)
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
por: Geng, Jiahui, et al.
Publicado: (2025)
por: Geng, Jiahui, et al.
Publicado: (2025)
How Does Prefix Matter in Reasoning Model Tuning?
por: Tomar, Raj Vardhan, et al.
Publicado: (2026)
por: Tomar, Raj Vardhan, et al.
Publicado: (2026)
Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models
por: Sahnan, Dhruv, et al.
Publicado: (2026)
por: Sahnan, Dhruv, et al.
Publicado: (2026)
Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
por: Laiyk, Nurkhan, et al.
Publicado: (2025)
por: Laiyk, Nurkhan, et al.
Publicado: (2025)
XAM: Interactive Explainability for Authorship Attribution Models
por: Alshomary, Milad, et al.
Publicado: (2025)
por: Alshomary, Milad, et al.
Publicado: (2025)
Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
por: Ghosal, Soumya Suvra, et al.
Publicado: (2025)
por: Ghosal, Soumya Suvra, et al.
Publicado: (2025)
Factuality of Large Language Models: A Survey
por: Wang, Yuxia, et al.
Publicado: (2024)
por: Wang, Yuxia, et al.
Publicado: (2024)
Generating Zero-shot Abstractive Explanations for Rumour Verification
por: Bilal, Iman Munire, et al.
Publicado: (2024)
por: Bilal, Iman Munire, et al.
Publicado: (2024)
A Chinese Dataset for Evaluating the Safeguards in Large Language Models
por: Wang, Yuxia, et al.
Publicado: (2024)
por: Wang, Yuxia, et al.
Publicado: (2024)
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
por: Su, Jinyan, et al.
Publicado: (2025)
por: Su, Jinyan, et al.
Publicado: (2025)
Ejemplares similares
-
Missci: Reconstructing Fallacies in Misrepresented Science
por: Glockner, Max, et al.
Publicado: (2024) -
Grounding Fallacies Misrepresenting Scientific Publications in Evidence
por: Glockner, Max, et al.
Publicado: (2024) -
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
por: Chakrabarty, Tuhin, et al.
Publicado: (2023) -
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
por: Saakyan, Arkadiy, et al.
Publicado: (2023) -
Designing and Evaluating Chain-of-Hints for Scientific Question Answering
por: Jangra, Anubhav, et al.
Publicado: (2025)