:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhai, Xuehao, Tian, Hanlin, Li, Lintong, Zhao, Tianyu
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.13558
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
by: Zhang, Wei, et al.
Published: (2026)

Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction
by: Xu, Yiming, et al.
Published: (2025)

APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
by: Jin, Can, et al.
Published: (2024)

Revisiting the Travel Planning Capabilities of Large Language Models
by: Zhang, Bo-Wen, et al.
Published: (2026)

A Post-Training Enhanced Optimization Approach for Small Language Models
by: Zhai, Keke
Published: (2024)

Large Language Models for Travel Behavior Prediction
by: Mo, Baichuan, et al.
Published: (2023)

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
by: Mu, Lin, et al.
Published: (2025)

Large Language Models to Diffusion Finetuning
by: Cetin, Edoardo, et al.
Published: (2025)

Optimizing Prompts for Large Language Models: A Causal Approach
by: Chen, Wei, et al.
Published: (2026)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
by: Li, Yitian, et al.
Published: (2024)

Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)

Empowering Large Language Models on Robotic Manipulation with Affordance Prompting
by: Cheng, Guangran, et al.
Published: (2024)

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning
by: Lv, Qitan, et al.
Published: (2026)

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
by: Tian, Hanlin, et al.
Published: (2024)

Large Language Models in the Travel Domain: An Industrial Experience
by: Di Meglio, Sergio, et al.
Published: (2025)

Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
by: Tan, Wenting, et al.
Published: (2024)

Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
by: Li, Xuan, et al.
Published: (2025)

Large Language Models Enhanced Hyperbolic Space Recommender Systems
by: Cheng, Wentao, et al.
Published: (2025)

Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

A Vision-and-Knowledge Enhanced Large Language Model for Generalizable Pedestrian Crossing Behavior Inference
by: Pu, Qingwen, et al.
Published: (2026)

RETAIL: Towards Real-world Travel Planning for Large Language Models
by: Deng, Bin, et al.
Published: (2025)

Large Language Model Enhanced Knowledge Representation Learning: A Survey
by: Wang, Xin, et al.
Published: (2024)

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

Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models
by: Zheng, Yujia, et al.
Published: (2025)

Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models
by: Zhao, Minda, et al.
Published: (2026)

Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
by: Li, Junlong, et al.
Published: (2022)

Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline
by: Gui, Xiongbin, et al.
Published: (2025)

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

A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense
by: Zhai, Keke
Published: (2024)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
by: Zhang, Qing, et al.
Published: (2025)

Continual Learning Using Only Large Language Model Prompting
by: Qiu, Jiabao, et al.
Published: (2024)

Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Models
by: Tian, Yu, et al.
Published: (2026)

Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
by: Li, Wenjie, et al.
Published: (2024)

Automating Prompt Leakage Attacks on Large Language Models Using Agentic Approach
by: Sternak, Tvrtko, et al.
Published: (2025)

TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners
by: de la Rosa, Tomas, et al.
Published: (2024)

Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition
by: Zhang, Lintong, et al.
Published: (2025)

An Engorgio Prompt Makes Large Language Model Babble on
by: Dong, Jianshuo, et al.
Published: (2024)