Cover Image

Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Kaiwen, Zhang, Jingyuan, Zhang, Hongzhi, Zhang, Fuzheng, Zhang, Di, Jin, Li, Yu, Yue
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DecepChain: Inducing Deceptive Reasoning in Large Language Models
by: Shen, Wei, et al.
Published: (2025)

CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models
by: Li, Runze, et al.
Published: (2025)

SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models
by: Chen, Yibin, et al.
Published: (2024)

KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
by: Yu, Zhuohao, et al.
Published: (2024)

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
by: Zhang, Jiaxin, et al.
Published: (2024)

An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
by: Zhang, Hanwen, et al.
Published: (2026)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
by: Zhang, Shenao, et al.
Published: (2024)

Label-free Node Classification on Graphs with Large Language Models (LLMS)
by: Chen, Zhikai, et al.
Published: (2023)

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation
by: Gan, Chunjing, et al.
Published: (2023)

SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
by: Ren, Yanwei, et al.
Published: (2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
by: Guo, Kai, et al.
Published: (2024)

Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
by: Zhang, Lihong, et al.
Published: (2025)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)

Eliciting Latent Knowledge from Quirky Language Models
by: Mallen, Alex, et al.
Published: (2023)

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
by: Zan, Lei, et al.
Published: (2025)

Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models
by: Liu, Xin, et al.
Published: (2025)

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
by: Chen, Zhikai, et al.
Published: (2023)

SVIP: Towards Verifiable Inference of Open-source Large Language Models
by: Sun, Yifan, et al.
Published: (2024)

Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
by: Wang, Wenxiao, et al.
Published: (2025)

Training Multimodal Large Reasoning Models Needs Better Thoughts: A Three-Stage Framework for Long Chain-of-Thought Synthesis and Selection
by: Wang, Yizhi, et al.
Published: (2025)

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
by: Qiu, Yifu, et al.
Published: (2025)

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
by: Li, Shixuan, et al.
Published: (2025)

Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models
by: Shang, Yu, et al.
Published: (2024)

Revealing Multimodal Causality with Large Language Models
by: Li, Jin, et al.
Published: (2025)

DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
by: Zhang, Yuxuan, et al.
Published: (2024)

Wireless Traffic Prediction with Large Language Model
by: Zhang, Chuanting, et al.
Published: (2025)

KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models
by: Zhang, Songming, et al.
Published: (2026)

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval
by: Tong, Shuo, et al.
Published: (2025)

EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories
by: Li, Wei, et al.
Published: (2026)

ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model
by: Xu, Ning, et al.
Published: (2024)

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
by: Zhang, Hanwen, et al.
Published: (2025)

Causality Elicitation from Large Language Models
by: Kameyama, Takashi, et al.
Published: (2026)

Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base
by: Li, Yu, et al.
Published: (2025)

Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
by: Chen, Dong, et al.
Published: (2025)

$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models
by: Zhao, Zhongyu, et al.
Published: (2024)

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
by: Zhao, Jiaqi, et al.
Published: (2025)

Sensory-Motor Control with Large Language Models via Iterative Policy Refinement
by: Carvalho, Jônata Tyska, et al.
Published: (2025)

Position: What Can Large Language Models Tell Us about Time Series Analysis
by: Jin, Ming, et al.
Published: (2024)