Saved in:
| Main Authors: | Souza, Rafael, Lim, Jia-Hao, Davis, Alexander |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.16276 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Temporal Contrastive Learning for Video Temporal Reasoning in Large Vision-Language Models
by: Souza, Rafael, et al.
Published: (2024)
by: Souza, Rafael, et al.
Published: (2024)
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings
by: Davis, Alexander, et al.
Published: (2025)
by: Davis, Alexander, et al.
Published: (2025)
Psychological Steering of Large Language Models
by: Blas, Leonardo, et al.
Published: (2026)
by: Blas, Leonardo, et al.
Published: (2026)
On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)
by: Zheng, Chujie, et al.
Published: (2024)
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
by: Huang, Zhongzhen, et al.
Published: (2024)
by: Huang, Zhongzhen, et al.
Published: (2024)
On the Adaptive Psychological Persuasion of Large Language Models
by: Ju, Tianjie, et al.
Published: (2025)
by: Ju, Tianjie, et al.
Published: (2025)
Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation
by: Ren, Zhiyao, et al.
Published: (2026)
by: Ren, Zhiyao, et al.
Published: (2026)
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
by: Wang, Xu, et al.
Published: (2024)
by: Wang, Xu, et al.
Published: (2024)
Advancing Multi-Step Mathematical Reasoning in Large Language Models through Multi-Layered Self-Reflection with Auto-Prompting
by: Loureiro, André de Souza, et al.
Published: (2025)
by: Loureiro, André de Souza, et al.
Published: (2025)
Exchange of Perspective Prompting Enhances Reasoning in Large Language Models
by: Sun, Lin, et al.
Published: (2025)
by: Sun, Lin, et al.
Published: (2025)
Evaluating Embeddings for One-Shot Classification of Doctor-AI Consultations
by: Ojo, Olumide Ebenezer, et al.
Published: (2024)
by: Ojo, Olumide Ebenezer, et al.
Published: (2024)
Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
by: Sun, Qiao, et al.
Published: (2024)
by: Sun, Qiao, et al.
Published: (2024)
MindShift: Analyzing Language Models' Reactions to Psychological Prompts
by: Vasiliuk, Anton, et al.
Published: (2025)
by: Vasiliuk, Anton, et al.
Published: (2025)
Consultation on Industrial Machine Faults with Large language Models
by: Boonmee, Apiradee, et al.
Published: (2024)
by: Boonmee, Apiradee, et al.
Published: (2024)
Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
by: Mu, Lin, et al.
Published: (2025)
by: Mu, Lin, et al.
Published: (2025)
DROJ: A Prompt-Driven Attack against Large Language Models
by: Hu, Leyang, et al.
Published: (2024)
by: Hu, Leyang, et al.
Published: (2024)
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
by: Zeng, Qingkai, et al.
Published: (2024)
by: Zeng, Qingkai, et al.
Published: (2024)
Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)
by: Bhaila, Karuna, et al.
Published: (2024)
Revisiting the Reliability of Psychological Scales on Large Language Models
by: Huang, Jen-tse, et al.
Published: (2023)
by: Huang, Jen-tse, et al.
Published: (2023)
IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models
by: Wang, Qiyao, et al.
Published: (2024)
by: Wang, Qiyao, et al.
Published: (2024)
Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)
by: Li, Xingxuan, et al.
Published: (2022)
An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
by: Zhang, Yufeng, et al.
Published: (2024)
by: Zhang, Yufeng, et al.
Published: (2024)
Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information
by: Jiang, Ming, et al.
Published: (2024)
by: Jiang, Ming, et al.
Published: (2024)
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
by: Wang, Rui, et al.
Published: (2023)
by: Wang, Rui, et al.
Published: (2023)
MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations
by: Ojo, Olumide E., et al.
Published: (2023)
by: Ojo, Olumide E., et al.
Published: (2023)
Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates
by: McCoy, Liam G., et al.
Published: (2025)
by: McCoy, Liam G., et al.
Published: (2025)
Transfer-Prompting: Enhancing Cross-Task Adaptation in Large Language Models via Dual-Stage Prompts Optimization
by: Chang, Yupeng, et al.
Published: (2025)
by: Chang, Yupeng, et al.
Published: (2025)
AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing
by: Zhang, Qingyu, et al.
Published: (2025)
by: Zhang, Qingyu, et al.
Published: (2025)
PsychoLex: Unveiling the Psychological Mind of Large Language Models
by: Abbasi, Mohammad Amin, et al.
Published: (2024)
by: Abbasi, Mohammad Amin, et al.
Published: (2024)
PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
by: Wang, Chengbing, et al.
Published: (2026)
by: Wang, Chengbing, et al.
Published: (2026)
Psychologically Enhanced AI Agents
by: Besta, Maciej, et al.
Published: (2025)
by: Besta, Maciej, et al.
Published: (2025)
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)
by: Liu, Haochen, et al.
Published: (2025)
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
Psychological Counseling Ability of Large Language Models
by: Peng, Fangyu, et al.
Published: (2025)
by: Peng, Fangyu, et al.
Published: (2025)
Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting
by: Wu, Jianfei, et al.
Published: (2024)
by: Wu, Jianfei, et al.
Published: (2024)
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models
by: Li, Jinyi, et al.
Published: (2024)
by: Li, Jinyi, et al.
Published: (2024)
PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference
by: Jin, Weisheng, et al.
Published: (2025)
by: Jin, Weisheng, et al.
Published: (2025)
Mitigating Prompt-Induced Hallucinations in Large Language Models via Structured Reasoning
by: Hao, Jinbo, et al.
Published: (2026)
by: Hao, Jinbo, et al.
Published: (2026)
Similar Items
-
Temporal Contrastive Learning for Video Temporal Reasoning in Large Vision-Language Models
by: Souza, Rafael, et al.
Published: (2024) -
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings
by: Davis, Alexander, et al.
Published: (2025) -
Psychological Steering of Large Language Models
by: Blas, Leonardo, et al.
Published: (2026) -
On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024) -
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
by: Huang, Zhongzhen, et al.
Published: (2024)