Cover Image

RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Jing, Wang, Xiao, Zhao, Yu, Liu, Yuhang, Wang, Fei-Yue
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
by: Yang, Jing, et al.
Published: (2024)

CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models
by: Tan, Zhehao, et al.
Published: (2026)

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning
by: Liu, Yuze, et al.
Published: (2024)

Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
by: Lan, Pengxiang, et al.
Published: (2025)

Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation
by: Wang, Yujie, et al.
Published: (2023)

ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
by: Weng, Jinta, et al.
Published: (2022)

Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
by: Yang, Linyao, et al.
Published: (2024)

$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models
by: Xu, Yue, et al.
Published: (2024)

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
by: Wu, Yuhang, et al.
Published: (2026)

Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings
by: Oh, Minsik, et al.
Published: (2023)

MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
by: Pavlova, Vera, et al.
Published: (2025)

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
by: Lin, Junhong, et al.
Published: (2025)

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
by: Wang, Jiaan, et al.
Published: (2024)

Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step
by: Yang, Jingyi, et al.
Published: (2025)

FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation
by: Li, Bangzheng, et al.
Published: (2024)

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
by: Fei, Zhaoye, et al.
Published: (2025)

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
by: Liu, Zeyu, et al.
Published: (2025)

UR$^2$: Unify RAG and Reasoning through Reinforcement Learning
by: Li, Weitao, et al.
Published: (2025)

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
by: He, Chengyang, et al.
Published: (2025)

Learning from Contrastive Prompts: Automated Optimization and Adaptation
by: Li, Mingqi, et al.
Published: (2024)

RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
by: Wang, Yu, et al.
Published: (2025)

Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
by: Xu, Yunzhe, et al.
Published: (2025)

Chinese ModernBERT with Whole-Word Masking
by: Zhao, Zeyu, et al.
Published: (2025)

Extracting Training Dialogue Data from Large Language Model based Task Bots
by: Zhang, Shuo, et al.
Published: (2026)

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
by: Wang, Qiuchen, et al.
Published: (2025)

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models
by: Liu, Shuodi, et al.
Published: (2025)

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
by: Bumb, Mayank, et al.
Published: (2025)

Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
by: Wang, Chenxu, et al.
Published: (2024)

KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
by: Zhu, Yanxu, et al.
Published: (2024)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
by: Wu, Jiayi, et al.
Published: (2024)

SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
by: Gao, Jingsheng, et al.
Published: (2024)

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
by: Yue, Zhenrui, et al.
Published: (2024)

Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection
by: Kim, San, et al.
Published: (2025)

R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
by: Li, Yuan, et al.
Published: (2025)

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026)

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
by: Duan, Jiaxin, et al.
Published: (2025)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
by: Huang, Xu, et al.
Published: (2025)

Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
by: Pan, Dayan, et al.
Published: (2025)

Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
by: Wang, Haochun, et al.
Published: (2023)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
by: Jiang, Jiyue, et al.
Published: (2025)