Copertina

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Yichi, Chen, Zhuo, Fang, Yin, Lu, Yanxi, Li, Fangming, Zhang, Wen, Chen, Huajun
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Noise-powered Multi-modal Knowledge Graph Representation Framework
di: Chen, Zhuo, et al.
Pubblicazione: (2024)

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
di: Zhang, Yichi, et al.
Pubblicazione: (2024)

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
di: Gong, Zhaoyan, et al.
Pubblicazione: (2025)

K-ON: Stacking Knowledge On the Head Layer of Large Language Model
di: Guo, Lingbing, et al.
Pubblicazione: (2025)

Distributed Representations of Entities in Open-World Knowledge Graphs
di: Guo, Lingbing, et al.
Pubblicazione: (2020)

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
di: Zhang, Yichi, et al.
Pubblicazione: (2024)

Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation
di: Zhang, Yichi, et al.
Pubblicazione: (2025)

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
di: Zhang, Yichi, et al.
Pubblicazione: (2024)

TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
di: Zhang, Wen, et al.
Pubblicazione: (2024)

UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
di: Liu, Zhiqiang, et al.
Pubblicazione: (2024)

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
di: Guo, Xiaoke, et al.
Pubblicazione: (2026)

Temporal Knowledge Graph Question Answering: A Survey
di: Su, Miao, et al.
Pubblicazione: (2024)

SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs
di: Liu, Zhiqiang, et al.
Pubblicazione: (2025)

Domain-Agnostic Molecular Generation with Chemical Feedback
di: Fang, Yin, et al.
Pubblicazione: (2023)

NativE: Multi-modal Knowledge Graph Completion in the Wild
di: Zhang, Yichi, et al.
Pubblicazione: (2024)

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
di: Kim, Minsang, et al.
Pubblicazione: (2024)

RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
di: Um, Kaehyun, et al.
Pubblicazione: (2026)

A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering
di: Zhang, Lingxi, et al.
Pubblicazione: (2024)

Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
di: Chen, Yingjian, et al.
Pubblicazione: (2025)

Retrieval Augmented Generation for Domain-specific Question Answering
di: Sharma, Sanat, et al.
Pubblicazione: (2024)

Large Knowledge Model: Perspectives and Challenges
di: Chen, Huajun
Pubblicazione: (2023)

Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering
di: Fu, Lei, et al.
Pubblicazione: (2025)

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
di: Cao, Han, et al.
Pubblicazione: (2024)

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
di: Liang, Lei, et al.
Pubblicazione: (2024)

Cost-efficient Knowledge-based Question Answering with Large Language Models
di: Dong, Junnan, et al.
Pubblicazione: (2024)

MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
di: Xiong, Guanming, et al.
Pubblicazione: (2025)

Multimodal Reranking for Knowledge-Intensive Visual Question Answering
di: Wen, Haoyang, et al.
Pubblicazione: (2024)

Open Domain Question Answering with Conflicting Contexts
di: Liu, Siyi, et al.
Pubblicazione: (2024)

RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs
di: Lin, Can, et al.
Pubblicazione: (2025)

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning
di: Hua, Yin, et al.
Pubblicazione: (2025)

Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
di: Yang, Wanqi, et al.
Pubblicazione: (2024)

Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering
di: Yang, Hongyu, et al.
Pubblicazione: (2024)

MKGL: Mastery of a Three-Word Language
di: Guo, Lingbing, et al.
Pubblicazione: (2024)

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
di: Zhai, Weihe, et al.
Pubblicazione: (2023)

Temporal Knowledge Question Answering via Abstract Reasoning Induction
di: Chen, Ziyang, et al.
Pubblicazione: (2023)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
di: Wang, Yubo, et al.
Pubblicazione: (2023)

Code-Style In-Context Learning for Knowledge-Based Question Answering
di: Nie, Zhijie, et al.
Pubblicazione: (2023)

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
di: Li, Lei, et al.
Pubblicazione: (2025)

A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
di: Lin, Xin, et al.
Pubblicazione: (2024)

K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
di: Cho, Jeonghun, et al.
Pubblicazione: (2025)