:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Jianing, Wang, Chengyu, Tan, Chuanqi, Huang, Jun, Gao, Ming
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2309.14771
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Do Large Language Models Understand Logic or Just Mimick Context?
par: Yan, Junbing, et autres
Publié: (2024)

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing
par: Wang, Changyue, et autres
Publié: (2025)

Quantum Knowledge Graph: Modeling Context-Dependent Triplet Validity
par: Wang, Yao, et autres
Publié: (2026)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
par: Tan, Hexiang, et autres
Publié: (2024)

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
par: Bi, Baolong, et autres
Publié: (2024)

What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA
par: Chang, Zhiyuan, et autres
Publié: (2024)

Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
par: Chen, Yuheng, et autres
Publié: (2024)

Code-Style In-Context Learning for Knowledge-Based Question Answering
par: Nie, Zhijie, et autres
Publié: (2023)

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
par: Wei, Yanbin, et autres
Publié: (2024)

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
par: Wang, Chengyu, et autres
Publié: (2025)

BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
par: Nie, Ercong, et autres
Publié: (2024)

Explicit Knowledge-Guided In-Context Learning for Early Detection of Alzheimer's Disease
par: Su, Puzhen, et autres
Publié: (2025)

DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
par: Wang, Yingxu, et autres
Publié: (2025)

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
par: Ren, Baochang, et autres
Publié: (2025)

Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
par: Wang, Haoyu, et autres
Publié: (2026)

ContextRL: Enhancing MLLM's Knowledge Discovery Efficiency with Context-Augmented RL
par: Lu, Xingyu, et autres
Publié: (2026)

How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
par: Huang, Heyan, et autres
Publié: (2024)

Reasoning Factual Knowledge in Structured Data with Large Language Models
par: Huang, Sirui, et autres
Publié: (2024)

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation
par: Fang, Yihao, et autres
Publié: (2024)

Context-Robust Knowledge Editing for Language Models
par: Park, Haewon, et autres
Publié: (2025)

From Deferral to Learning: Online In-Context Knowledge Distillation for LLM Cascades
par: Wu, Yu, et autres
Publié: (2025)

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
par: Liu, Xiaoze, et autres
Publié: (2024)

Aligning Knowledge Graphs and Language Models for Factual Accuracy
par: Nishat, Nur A Zarin, et autres
Publié: (2025)

Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality
par: Li, Junliang, et autres
Publié: (2025)

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
par: Xu, Derong, et autres
Publié: (2024)

Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
par: Wang, Yifei, et autres
Publié: (2024)

Context Tuning for In-Context Optimization
par: Lu, Jack, et autres
Publié: (2025)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
par: Bi, Baolong, et autres
Publié: (2025)

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models
par: Zheng, Zaiyi, et autres
Publié: (2025)

Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall
par: Yuan, Jiaqing, et autres
Publié: (2024)

KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
par: Zhu, Yanxu, et autres
Publié: (2024)

Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts
par: Ma, Haodi, et autres
Publié: (2025)

HalluciNot: Hallucination Detection Through Context and Common Knowledge Verification
par: Paudel, Bibek, et autres
Publié: (2025)

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
par: Li, Xiaopeng, et autres
Publié: (2024)

Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
par: Zhang, Zhuoran, et autres
Publié: (2024)

CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering
par: Huang, Tianyi, et autres
Publié: (2026)

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
par: Lo, Frank P. -W., et autres
Publié: (2025)

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction
par: Wu, Shanglin, et autres
Publié: (2025)

DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs
par: Mousavi, Seyed Mahed, et autres
Publié: (2024)

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
par: Patidar, Mayur, et autres
Publié: (2023)