Copertina

PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Jinyi, Lan, Yihuai, Wang, Lei, Wang, Hao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Harnessing the Plug-and-Play Controller by Prompting
di: Wang, Hao, et al.
Pubblicazione: (2024)

Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models
di: Chen, Jiaxing, et al.
Pubblicazione: (2024)

Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis
di: Tian, Yuanhe, et al.
Pubblicazione: (2025)

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
di: Cao, Jiaqi, et al.
Pubblicazione: (2025)

PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
di: Zheng, Miao, et al.
Pubblicazione: (2024)

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
di: Li, Miaoran, et al.
Pubblicazione: (2023)

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models
di: Tu, Shangqing, et al.
Pubblicazione: (2024)

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
di: Xiao, Chaojun, et al.
Pubblicazione: (2023)

Generation-Augmented Generation: A Plug-and-Play Framework for Private Knowledge Injection in Large Language Models
di: Li, Rongji, et al.
Pubblicazione: (2026)

Plug-and-Play Training Framework for Preference Optimization
di: Ma, Jingyuan, et al.
Pubblicazione: (2024)

Prompt Compression for Large Language Models: A Survey
di: Li, Zongqian, et al.
Pubblicazione: (2024)

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
di: Deng, Yang, et al.
Pubblicazione: (2023)

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction
di: Wang, Ziwei, et al.
Pubblicazione: (2025)

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

Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
di: Ajwani, Rohan Deepak, et al.
Pubblicazione: (2024)

CIP: A Plug-and-Play Causal Prompting Framework for Mitigating Hallucinations under Long-Context Noise
di: Ma, Qingsen, et al.
Pubblicazione: (2025)

500xCompressor: Generalized Prompt Compression for Large Language Models
di: Li, Zongqian, et al.
Pubblicazione: (2024)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
di: Hu, Jinwu, et al.
Pubblicazione: (2025)

Dissecting Fine-Tuning Unlearning in Large Language Models
di: Hong, Yihuai, et al.
Pubblicazione: (2024)

Precise In-Parameter Concept Erasure in Large Language Models
di: Gur-Arieh, Yoav, et al.
Pubblicazione: (2025)

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
di: Gong, Ruihao, et al.
Pubblicazione: (2024)

The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
di: Hong, Yihuai, et al.
Pubblicazione: (2025)

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation
di: Chen, Sixu, et al.
Pubblicazione: (2026)

DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
di: Li, Jiakai, et al.
Pubblicazione: (2025)

Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
di: Wang, Hao, et al.
Pubblicazione: (2026)

SelfCP: Compressing Over-Limit Prompt via the Frozen Large Language Model Itself
di: Gao, Jun, et al.
Pubblicazione: (2024)

Towards Extreme Pruning of LLMs with Plug-and-Play Mixed Sparsity
di: Xu, Chi, et al.
Pubblicazione: (2025)

Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
di: Zhang, Zhenyu, et al.
Pubblicazione: (2024)

A Survey on Model Compression for Large Language Models
di: Zhu, Xunyu, et al.
Pubblicazione: (2023)

Structured Reasoning for Large Language Models
di: Han, Jinyi, et al.
Pubblicazione: (2026)

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

Better Zero-Shot Reasoning with Role-Play Prompting
di: Kong, Aobo, et al.
Pubblicazione: (2023)

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
di: Lan, Yihuai, et al.
Pubblicazione: (2023)

Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
di: Liu, Xuyang, et al.
Pubblicazione: (2025)

The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
di: Hong, Yihuai, et al.
Pubblicazione: (2025)

A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation
di: Li, Xiangci, et al.
Pubblicazione: (2024)

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
di: Wang, Chengyu, et al.
Pubblicazione: (2025)

RelayAttention for Efficient Large Language Model Serving with Long System Prompts
di: Zhu, Lei, et al.
Pubblicazione: (2024)

KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
di: Zhang, Jiajie, et al.
Pubblicazione: (2024)