Copertina

Revisiting Prompt Sensitivity in Large Language Models for Text Classification: The Role of Prompt Underspecification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pecher, Branislav, Spiegel, Michal, Belanec, Robert, Cegin, Jan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
di: Pecher, Branislav, et al.
Pubblicazione: (2026)

Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
di: Pecher, Branislav, et al.
Pubblicazione: (2024)

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
di: Pecher, Branislav, et al.
Pubblicazione: (2023)

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
di: Pecher, Branislav, et al.
Pubblicazione: (2024)

POSIX: A Prompt Sensitivity Index For Large Language Models
di: Chatterjee, Anwoy, et al.
Pubblicazione: (2024)

Automatic Combination of Sample Selection Strategies for Few-Shot Learning
di: Pecher, Branislav, et al.
Pubblicazione: (2024)

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
di: Pecher, Branislav, et al.
Pubblicazione: (2024)

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
di: Chen, Weizhe, et al.
Pubblicazione: (2024)

On Prompt-Driven Safeguarding for Large Language Models
di: Zheng, Chujie, et al.
Pubblicazione: (2024)

Graph Neural Prompting with Large Language Models
di: Tian, Yijun, et al.
Pubblicazione: (2023)

Soft Prompting for Unlearning in Large Language Models
di: Bhaila, Karuna, et al.
Pubblicazione: (2024)

LHAW: Controllable Underspecification for Long-Horizon Tasks
di: Pu, George, et al.
Pubblicazione: (2026)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
di: Dong, Honghua, et al.
Pubblicazione: (2024)

Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification
di: Gao, Yijie, et al.
Pubblicazione: (2023)

An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
di: Zhang, Yizhou, et al.
Pubblicazione: (2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts
di: Liu, Chris Yuhao, et al.
Pubblicazione: (2024)

Prompting Fairness: Integrating Causality to Debias Large Language Models
di: Li, Jingling, et al.
Pubblicazione: (2024)

Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
di: D'Oosterlinck, Karel, et al.
Pubblicazione: (2024)

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
di: Zou, Jiaru, et al.
Pubblicazione: (2024)

Promptception: How Sensitive Are Large Multimodal Models to Prompts?
di: Ismithdeen, Mohamed Insaf, et al.
Pubblicazione: (2025)

PromptBench: A Unified Library for Evaluation of Large Language Models
di: Zhu, Kaijie, et al.
Pubblicazione: (2023)

CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement
di: Shim, Jung-Woo, et al.
Pubblicazione: (2025)

PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
di: Zhao, Chenzhuo, et al.
Pubblicazione: (2025)

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts
di: Sharma, Kartik, et al.
Pubblicazione: (2025)

Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
di: Shim, Jung-Woo, et al.
Pubblicazione: (2025)

Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
di: Ajwani, Rohan Deepak, et al.
Pubblicazione: (2024)

A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
di: Derner, Erik, et al.
Pubblicazione: (2023)

Temperature-Dependent Performance of Prompting Strategies in Extended Reasoning Large Language Models
di: Salah, Mousa, et al.
Pubblicazione: (2026)

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
di: Sgouritsa, Eleni, et al.
Pubblicazione: (2024)

Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
di: Hua, Andong, et al.
Pubblicazione: (2025)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
di: Xu, Ran, et al.
Pubblicazione: (2023)

Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages
di: Toukmaji, Christopher
Pubblicazione: (2024)

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
di: Kim, Gyeongman, et al.
Pubblicazione: (2024)

Prompt Optimization Via Diffusion Language Models
di: Wang, Shiyu, et al.
Pubblicazione: (2026)

Structured Prompts Improve Evaluation of Language Models
di: Aali, Asad, et al.
Pubblicazione: (2025)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
di: Vatsal, Shubham, et al.
Pubblicazione: (2025)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
di: Zhao, Xueliang, et al.
Pubblicazione: (2025)

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
di: Zollo, Thomas P., et al.
Pubblicazione: (2023)

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
di: Wen, Yilin, et al.
Pubblicazione: (2023)

Wordflow: Social Prompt Engineering for Large Language Models
di: Wang, Zijie J., et al.
Pubblicazione: (2024)