Cover Image

Plug-and-Play Training Framework for Preference Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Jingyuan, Li, Rui, Li, Zheng, Sha, Lei, Sui, Zhifang
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

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
by: Li, Rui, et al.
Published: (2025)

HauntAttack: When Attack Follows Reasoning as a Shadow
by: Ma, Jingyuan, et al.
Published: (2025)

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

Large Language Models Struggle with Unreasonability in Math Problems
by: Ma, Jingyuan, et al.
Published: (2024)

How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation
by: Li, Rui, et al.
Published: (2025)

SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
by: Li, Zheng, et al.
Published: (2025)

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

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
by: Zhang, Zhexin, et al.
Published: (2024)

Towards Harmonized Uncertainty Estimation for Large Language Models
by: Li, Rui, et al.
Published: (2025)

Towards Better RL Training Data Utilization via Second-Order Rollout
by: Yang, Zhe, et al.
Published: (2026)

Self-Boosting Large Language Models with Synthetic Preference Data
by: Dong, Qingxiu, et al.
Published: (2024)

Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
by: Li, Sha, et al.
Published: (2025)

PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models
by: Li, Jinyi, et al.
Published: (2024)

CoLT: Reasoning with Chain of Latent Tool Calls
by: Zhu, Fangwei, et al.
Published: (2026)

Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay
by: Wang, Hao, et al.
Published: (2026)

360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training
by: Zou, Haosheng, et al.
Published: (2025)

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

Reinforcement Pre-Training
by: Dong, Qingxiu, et al.
Published: (2025)

A Survey on In-context Learning
by: Dong, Qingxiu, et al.
Published: (2022)

Can Large Multimodal Models Uncover Deep Semantics Behind Images?
by: Yang, Yixin, et al.
Published: (2024)

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

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

AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent Systems
by: Chan, Chi-Min, et al.
Published: (2024)

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

Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition
by: Zhu, Fangwei, et al.
Published: (2024)

Language Models Encode the Value of Numbers Linearly
by: Zhu, Fangwei, et al.
Published: (2024)

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

Decoupled Alignment for Robust Plug-and-Play Adaptation
by: Luo, Haozheng, et al.
Published: (2024)

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

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

SCoRE: Benchmarking Long-Chain Reasoning in Commonsense Scenarios
by: Zhan, Weidong, et al.
Published: (2025)

PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection
by: Liu, Jinhan, et al.
Published: (2026)

Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty
by: Xiao, Yao, et al.
Published: (2025)

Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
by: Segev, Eliya, et al.
Published: (2023)

DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check
by: Qiao, Ziheng, et al.
Published: (2024)

Enhancing Reliability across Short and Long-Form QA via Reinforcement Learning
by: Wang, Yudong, et al.
Published: (2025)

From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
by: Cheng, Chuanqi, et al.
Published: (2024)

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

Exploring Activation Patterns of Parameters in Language Models
by: Wang, Yudong, et al.
Published: (2024)

Chain-of-Thought Tokens are Computer Program Variables
by: Zhu, Fangwei, et al.
Published: (2025)