Cover Image

NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Xu, Li, Cheng, Chang, Yi, Wang, Jindong, Wu, Yuan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transfer-Prompting: Enhancing Cross-Task Adaptation in Large Language Models via Dual-Stage Prompts Optimization
by: Chang, Yupeng, et al.
Published: (2025)

Negative-Prompt-driven Alignment for Generative Language Model
by: Qiao, Shiqi, et al.
Published: (2024)

XTRUST: On the Multilingual Trustworthiness of Large Language Models
by: Li, Yahan, et al.
Published: (2024)

A Survey on Data Contamination for Large Language Models
by: Cheng, Yuxing, et al.
Published: (2025)

MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
by: Cheng, Bo, et al.
Published: (2025)

Large Language Model Evaluation via Matrix Nuclear-Norm
by: Li, Yahan, et al.
Published: (2024)

Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
by: Yu, Sangwon, et al.
Published: (2024)

Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
by: Duan, Shitong, et al.
Published: (2024)

AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives
by: Chen, Yanxi, et al.
Published: (2025)

Negation: A Pink Elephant in the Large Language Models' Room?
by: Vrabcová, Tereza, et al.
Published: (2025)

A Survey on Evaluation of Large Language Models
by: Chang, Yupeng, et al.
Published: (2023)

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
by: Wang, Chengbing, et al.
Published: (2026)

The Impact of Negated Text on Hallucination with Large Language Models
by: Seo, Jaehyung, et al.
Published: (2025)

How Language Models Process Negation
by: Zhou, Zhejian, et al.
Published: (2026)

Boosting Protein Language Models with Negative Sample Mining
by: Xu, Yaoyao, et al.
Published: (2024)

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

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models
by: Zhu, Bin, et al.
Published: (2025)

Negative Before Positive: Asymmetric Valence Processing in Large Language Models
by: Venkatesh, Sohan
Published: (2026)

CHBench: A Chinese Dataset for Evaluating Health in Large Language Models
by: Guo, Chenlu, et al.
Published: (2024)

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
by: Wu, Xuyang, et al.
Published: (2024)

Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding
by: Wang, Zijie, et al.
Published: (2026)

Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
by: Zhang, Yufeng, et al.
Published: (2024)

On the Adaptive Psychological Persuasion of Large Language Models
by: Ju, Tianjie, et al.
Published: (2025)

Making Language Models Robust Against Negation
by: Rezaei, MohammadHossein, et al.
Published: (2025)

AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models
by: Hong, Xin, et al.
Published: (2024)

Vision-Language Models Do Not Understand Negation
by: Alhamoud, Kumail, et al.
Published: (2025)

Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models
by: Li, Jinzhe, et al.
Published: (2025)

AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
by: Li, Zhiyuan, et al.
Published: (2026)

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
by: Liu, Haoxin, et al.
Published: (2024)

Logical Negation Augmenting and Debiasing for Prompt-based Methods
by: Li, Yitian, et al.
Published: (2024)

NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
by: Guo, Chenlu, et al.
Published: (2025)

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients
by: Xu, Mingwei, et al.
Published: (2026)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents
by: Wang, Renxi, et al.
Published: (2024)

StringLLM: Understanding the String Processing Capability of Large Language Models
by: Wang, Xilong, et al.
Published: (2024)

CultureLLM: Incorporating Cultural Differences into Large Language Models
by: Li, Cheng, et al.
Published: (2024)

DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations
by: Zhang, Yazhou, et al.
Published: (2023)

Efficient Prompting Methods for Large Language Models: A Survey
by: Chang, Kaiyan, et al.
Published: (2024)

Mixture-of-Instructions: Aligning Large Language Models via Mixture Prompting
by: Xu, Bowen, et al.
Published: (2024)

Disparities In Negation Understanding Across Languages In Vision-Language Models
by: Moraitaki, Charikleia, et al.
Published: (2026)