Image de couverture de livre

LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Ming, Liu, Yuanzhong, Liang, Xiaoyu, Li, Songlian, Huang, Yijie, Zhang, Xiaoming, Shen, Sijia, Guan, Chaofeng, Wang, Daling, Feng, Shi, Zhang, Huaiwen, Zhang, Yifei, Zheng, Minghui, Zhang, Chi
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering Artificial Intelligence Computation and Language Programming Languages
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts
par: Wang, Ming, et autres
Publié: (2024)

Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
par: Zhang, Xiaoming, et autres
Publié: (2024)

Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate
par: Zhang, Yiqun, et autres
Publié: (2024)

Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
par: Hu, Shuguo, et autres
Publié: (2025)

FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models
par: Zhang, Huaiwen, et autres
Publié: (2024)

Poisoned LangChain: Jailbreak LLMs by LangChain
par: Wang, Ziqiu, et autres
Publié: (2024)

Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Prompting
par: Li, Xinzhe, et autres
Publié: (2024)

Defending Large Language Models Against Jailbreak Attacks via In-Decoding Safety-Awareness Probing
par: Zhao, Yinzhi, et autres
Publié: (2026)

RoCar: A Relationship Network-based Evaluation Method for Large Language Models
par: Wang, Ming, et autres
Publié: (2023)

Evaluate What You Can't Evaluate: Unassessable Quality for Generated Response
par: Liu, Yongkang, et autres
Publié: (2023)

ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language
par: Liu, Yongkang, et autres
Publié: (2024)

TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
par: Cao, Huiying, et autres
Publié: (2024)

GRASP: Grounded CoT Reasoning with Dual-Stage Optimization for Multimodal Sarcasm Target Identification
par: Wan, Faxian, et autres
Publié: (2026)

MEKiT: Multi-source Heterogeneous Knowledge Injection Method via Instruction Tuning for Emotion-Cause Pair Extraction
par: Mu, Shiyi, et autres
Publié: (2025)

NEAT: Neuron-Based Early Exit for Large Reasoning Models
par: Liu, Kang, et autres
Publié: (2026)

Rethinking the Role of LLMs in Time Series Forecasting
par: Qiu, Xin, et autres
Publié: (2026)

Language Models as Continuous Self-Evolving Data Engineers
par: Wang, Peidong, et autres
Publié: (2024)

PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children
par: Zhang, Yiqun, et autres
Publié: (2024)

Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
par: Shangguan, Haonan, et autres
Publié: (2025)

AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
par: Wang, Ming, et autres
Publié: (2025)

Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective
par: Zhang, Yiqun, et autres
Publié: (2024)

Generative Emotion Cause Explanation in Multimodal Conversations
par: Wang, Lin, et autres
Publié: (2024)

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
par: Cao, Guiming, et autres
Publié: (2024)

STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
par: Zhang, Yiqun, et autres
Publié: (2024)

HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
par: Liu, Yongkang, et autres
Publié: (2024)

A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation
par: Liu, Yongkang, et autres
Publié: (2024)

CIRAG: Construction-Integration Retrieval and Adaptive Generation for Multi-hop Question Answering
par: Wei, Zili, et autres
Publié: (2026)

Evaluating AI Meeting Summaries with a Reusable Cross-Domain Pipeline
par: Zhong, Philip, et autres
Publié: (2026)

Rethinking Atomic Decomposition for LLM Judges: A Prompt-Controlled Study of Reference-Grounded QA Evaluation
par: Zhang, Xinran
Publié: (2026)

PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models
par: Zhu, He, et autres
Publié: (2025)

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
par: Zhang, Yichi, et autres
Publié: (2024)

Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
par: Zhang, Anqi, et autres
Publié: (2024)

EmbedGrad: Gradient-Based Prompt Optimization in Embedding Space for Large Language Models
par: Hou, Xiaoming, et autres
Publié: (2025)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
par: Zheng, Shen, et autres
Publié: (2023)

DrugClaw and DrugAudit: A Primary-Source-Grounded Agent and Authority-Aware Benchmark for Drug-Information Question Answering
par: Wang, Qing, et autres
Publié: (2026)

LangVAE and LangSpace: Building and Probing for Language Model VAEs
par: Carvalho, Danilo S., et autres
Publié: (2025)

Pixel-Level Reasoning Segmentation via Multi-turn Conversations
par: Cai, Dexian, et autres
Publié: (2025)

On Repairing Quantum Programs Using ChatGPT
par: Guo, Xiaoyu, et autres
Publié: (2024)

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs
par: Jin, Xiangqi, et autres
Publié: (2025)

From Data to Insights: Exploring Program-of-Thoughts Prompting for Chart Summarization
par: Qu, Yutong, et autres
Publié: (2026)