Cover Image

Prompting Large Language Models for Counterfactual Generation: An Empirical Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yongqi, Xu, Mayi, Miao, Xin, Zhou, Shen, Qian, Tieyun
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback
by: Li, Yongqi, et al.
Published: (2024)

A Survey on Training-free Alignment of Large Language Models
by: Pan, Birong, et al.
Published: (2025)

Toxicity Detection towards Adaptability to Changing Perturbations
by: Kang, Hankun, et al.
Published: (2024)

Aligning VLM Assistants with Personalized Situated Cognition
by: Li, Yongqi, et al.
Published: (2025)

ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations
by: Kang, Hankun, et al.
Published: (2026)

Reasoning based on symbolic and parametric knowledge bases: a survey
by: Xu, Mayi, et al.
Published: (2025)

Understanding Generalization in Role-Playing Models via Information Theory
by: Li, Yongqi, et al.
Published: (2025)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
by: Ning, Yunfeng, et al.
Published: (2025)

Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions
by: Li, Yongqi, et al.
Published: (2026)

Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
by: Liu, Jiacheng, et al.
Published: (2025)

NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs
by: Pan, Birong, et al.
Published: (2025)

An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)

Accounting Reasoning in Large Language Models: Concepts, Evaluation, and Empirical Analysis
by: Zhou, Jie, et al.
Published: (2025)

Beyond Static Snapshots: Dynamic Modeling and Forecasting of Group-Level Value Evolution with Large Language Models
by: Pi, Qiankun, et al.
Published: (2026)

Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
by: Kim, Jongho, et al.
Published: (2025)

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding
by: Zhang, Kaiyan, et al.
Published: (2024)

Self-Pluralising Culture Alignment for Large Language Models
by: Xu, Shaoyang, et al.
Published: (2024)

Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf
by: Xu, Yuzhuang, et al.
Published: (2023)

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
by: Xu, Qiancheng, et al.
Published: (2024)

An Empirical Study of Many-to-Many Summarization with Large Language Models
by: Wang, Jiaan, et al.
Published: (2025)

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
by: Li, Junyi, et al.
Published: (2024)

Is Large Language Model Good at Triple Set Prediction? An Empirical Study
by: Yuan, Yuan, et al.
Published: (2024)

Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation
by: Cheng, Jiahao, et al.
Published: (2025)

Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting
by: Xia, Heming, et al.
Published: (2025)

AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models
by: Kang, Hankun, et al.
Published: (2026)

Counterfactual Token Generation in Large Language Models
by: Chatzi, Ivi, et al.
Published: (2024)

Unveiling and Manipulating Prompt Influence in Large Language Models
by: Feng, Zijian, et al.
Published: (2024)

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
by: Luo, Yun, et al.
Published: (2023)

Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)

Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
by: Li, Wanli, et al.
Published: (2023)

Causal Prompting for Implicit Sentiment Analysis with Large Language Models
by: Ren, Jing, et al.
Published: (2025)

DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction
by: Chen, Hao, et al.
Published: (2024)

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
by: Qian, Yushan, et al.
Published: (2023)

Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study
by: Hou, Guanyu, et al.
Published: (2025)

Data Generation Using Large Language Models for Text Classification: An Empirical Case Study
by: Li, Yinheng, et al.
Published: (2024)

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
by: Li, Ang, et al.
Published: (2024)

Boosting Large Language Model for Speech Synthesis: An Empirical Study
by: Hao, Hongkun, et al.
Published: (2023)

Evaluating Counterfactual Strategic Reasoning in Large Language Models
by: Georgousis, Dimitrios, et al.
Published: (2026)

Meta-Task Prompting Elicits Embeddings from Large Language Models
by: Lei, Yibin, et al.
Published: (2024)

An Empirical Study on Information Extraction using Large Language Models
by: Han, Ridong, et al.
Published: (2023)