Cover Image

Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Bo, Ma, Hui, Li, Dailin, Ding, Jian, Wang, Jian, Xu, Bo, Lin, HongFei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distilling Implicit Multimodal Knowledge into Large Language Models for Zero-Resource Dialogue Generation
by: Zhang, Bo, et al.
Published: (2024)

Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation
by: Ma, Hui, et al.
Published: (2024)

DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations
by: Zhang, Yazhou, et al.
Published: (2023)

Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs
by: Su, Siyue, et al.
Published: (2026)

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
by: Yang, Ruichao, et al.
Published: (2024)

KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models
by: Lv, Bo, et al.
Published: (2024)

Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
by: Wang, Jian, et al.
Published: (2024)

MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
by: Cheng, Bo, et al.
Published: (2025)

Data Selection for Multi-turn Dialogue Instruction Tuning
by: Li, Bo, et al.
Published: (2026)

Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
by: Wang, Fei, et al.
Published: (2024)

Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
by: Xie, Tingyu, et al.
Published: (2024)

Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
by: Ma, Shengjie, et al.
Published: (2025)

DDK: Distilling Domain Knowledge for Efficient Large Language Models
by: Liu, Jiaheng, et al.
Published: (2024)

SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
by: Ding, Peng, et al.
Published: (2025)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)

A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction
by: Hu, Zefa, et al.
Published: (2023)

Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue
by: Wang, Jian, et al.
Published: (2024)

A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation
by: Yang, Chenxu, et al.
Published: (2024)

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

WisdomBot: Tuning Large Language Models with Artificial Intelligence Knowledge
by: Chen, Jingyuan, et al.
Published: (2025)

Evaluating Evidence Grounding Under User Pressure in Instruction-Tuned Language Models
by: Koneru, Sai, et al.
Published: (2026)

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
by: Cao, Jie, et al.
Published: (2025)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
by: Huang, Wenke, et al.
Published: (2024)

Large Language Model for Patent Concept Generation
by: Ren, Runtao, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
by: Prottasha, Nusrat Jahan, et al.
Published: (2024)

HFT: Half Fine-Tuning for Large Language Models
by: Hui, Tingfeng, et al.
Published: (2024)

UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models
by: Wu, Jiajun, et al.
Published: (2025)

Building Knowledge-Grounded Dialogue Systems with Graph-Based Semantic Modeling
by: Yang, Yizhe, et al.
Published: (2022)

Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation
by: Wan, Yixin, et al.
Published: (2023)

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
by: Zhong, Qihuang, et al.
Published: (2024)

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
by: Li, Xingxuan, et al.
Published: (2023)

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models
by: Cao, Jiahuan, et al.
Published: (2024)

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
by: Yu, Erxin, et al.
Published: (2024)

ML-Bench&Guard: Policy-Grounded Multilingual Safety Benchmark and Guardrail for Large Language Models
by: Zhao, Yunhan, et al.
Published: (2026)

Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models
by: Xiong, Guangzhi, et al.
Published: (2024)

Revisiting Knowledge Distillation for Autoregressive Language Models
by: Zhong, Qihuang, et al.
Published: (2024)

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

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
by: Liu, Zhiqiang, et al.
Published: (2025)

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
by: Han, Kairong, et al.
Published: (2025)

In-Context Examples Matter: Improving Emotion Recognition in Conversation with Instruction Tuning
by: Ma, Hui, et al.
Published: (2025)