Imagen de Portada

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lyu, Yougang, Yan, Lingyong, Wang, Shuaiqiang, Shi, Haibo, Yin, Dawei, Ren, Pengjie, Chen, Zhumin, de Rijke, Maarten, Ren, Zhaochun
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
por: Lyu, Yougang, et al.
Publicado: (2024)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
por: Sun, Weiwei, et al.
Publicado: (2023)

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
por: Shi, Zhengliang, et al.
Publicado: (2025)

Self-Adaptive Cognitive Debiasing for Large Language Models in Decision-Making
por: Lyu, Yougang, et al.
Publicado: (2025)

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
por: Shi, Zhengliang, et al.
Publicado: (2025)

Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning
por: Zhao, Yukun, et al.
Publicado: (2025)

Cognitive Biases in Large Language Models for News Recommendation
por: Lyu, Yougang, et al.
Publicado: (2024)

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
por: Ren, Pengjie, et al.
Publicado: (2024)

A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
por: Wang, Zihan, et al.
Publicado: (2025)

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
por: Shi, Zhengliang, et al.
Publicado: (2025)

Disentangling Knowledge Representations for Large Language Model Editing
por: Zhang, Mengqi, et al.
Publicado: (2025)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
por: Zhao, Yukun, et al.
Publicado: (2023)

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
por: Hao, Jitai, et al.
Publicado: (2024)

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
por: Zhu, Dongsheng, et al.
Publicado: (2025)

Information Discovery in e-Commerce
por: Ren, Zhaochun, et al.
Publicado: (2024)

DeepShop: A Benchmark for Deep Research Shopping Agents
por: Lyu, Yougang, et al.
Publicado: (2025)

Learning to Use Tools via Cooperative and Interactive Agents
por: Shi, Zhengliang, et al.
Publicado: (2024)

Improving the Robustness of Large Language Models via Consistency Alignment
por: Zhao, Yukun, et al.
Publicado: (2024)

Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
por: Shi, Zhengliang, et al.
Publicado: (2024)

Replication and Exploration of Generative Retrieval over Dynamic Corpora
por: Zhang, Zhen, et al.
Publicado: (2025)

UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
por: Wang, Wenyu, et al.
Publicado: (2025)

Self-Supervised Position Debiasing for Large Language Models
por: Liu, Zhongkun, et al.
Publicado: (2024)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors
por: Jiang, Guanying, et al.
Publicado: (2024)

Evolution without Large Models: Training Language Model with Task Principles
por: Zhu, Minghang, et al.
Publicado: (2025)

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
por: Shi, Zhengliang, et al.
Publicado: (2024)

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
por: Zhu, Minghang, et al.
Publicado: (2025)

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
por: Zhu, Junda, et al.
Publicado: (2025)

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
por: Zhu, Junda, et al.
Publicado: (2024)

Knowledge Graph Enhanced Large Language Model Editing
por: Zhang, Mengqi, et al.
Publicado: (2024)

ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers
por: Hu, Junyan, et al.
Publicado: (2024)

Model Editing for New Document Integration in Generative Information Retrieval
por: Zhang, Zhen, et al.
Publicado: (2026)

Exploring Memorization in Fine-tuned Language Models
por: Zeng, Shenglai, et al.
Publicado: (2023)

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing
por: Zhang, Mengqi, et al.
Publicado: (2024)

Uncovering Overfitting in Large Language Model Editing
por: Zhang, Mengqi, et al.
Publicado: (2024)

Constrained Auto-Regressive Decoding Constrains Generative Retrieval
por: Wu, Shiguang, et al.
Publicado: (2025)

Generative Retrieval as Multi-Vector Dense Retrieval
por: Wu, Shiguang, et al.
Publicado: (2024)

ExcluIR: Exclusionary Neural Information Retrieval
por: Zhang, Wenhao, et al.
Publicado: (2024)

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
por: Wu, Jiulong, et al.
Publicado: (2025)

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning
por: Bai, Yi, et al.
Publicado: (2026)

Reinforced Efficient Reasoning via Semantically Diverse Exploration
por: Zhao, Ziqi, et al.
Publicado: (2026)