:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zheng, Jiasen, Zhang, Huajun, Yan, Xu, Hao, Ran, Peng, Chong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2510.27077
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structured Prompt Optimization for Few-Shot Text Classification via Semantic Alignment in Latent Space
by: Zheng, Jiasen, et al.
Published: (2026)

Large Knowledge Model: Perspectives and Challenges
by: Chen, Huajun
Published: (2023)

Making Large Language Models Perform Better in Knowledge Graph Completion
by: Zhang, Yichi, et al.
Published: (2023)

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
by: Yang, Junjie, et al.
Published: (2025)

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

Enhancing Knowledge Distillation of Large Language Models through Efficient Multi-Modal Distribution Alignment
by: Peng, Tianyu, et al.
Published: (2024)

Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions
by: Zhang, Xiaoyun, et al.
Published: (2024)

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

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
by: Wang, Peng, et al.
Published: (2024)

Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference Optimization
by: Pan, Yurui, et al.
Published: (2026)

Every Little Helps: Building Knowledge Graph Foundation Model with Fine-grained Transferable Multi-modal Tokens
by: Zhang, Yichi, et al.
Published: (2026)

Unveiling the Pitfalls of Knowledge Editing for Large Language Models
by: Li, Zhoubo, et al.
Published: (2023)

Detoxifying Large Language Models via Knowledge Editing
by: Wang, Mengru, et al.
Published: (2024)

StressEval: Failure-Driven Dynamic Benchmarking for Knowledge-Intensive Reasoning in Large Language Models
by: Chen, Yongrui, et al.
Published: (2026)

J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain
by: Hu, Yiran, et al.
Published: (2025)

Evolutionary Contrastive Distillation for Language Model Alignment
by: Katz-Samuels, Julian, et al.
Published: (2024)

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

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
by: Huang, Cheng Peng, et al.
Published: (2025)

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models
by: Wang, Shuo, et al.
Published: (2024)

Calibrating the Confidence of Large Language Models by Eliciting Fidelity
by: Zhang, Mozhi, et al.
Published: (2024)

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
by: Wang, Xiaohan, et al.
Published: (2024)

Knowledge Mechanisms in Large Language Models: A Survey and Perspective
by: Wang, Mengru, et al.
Published: (2024)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
by: Wang, Peng, et al.
Published: (2023)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
by: Zhang, Yichi, et al.
Published: (2023)

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
by: Li, Yinghui, et al.
Published: (2025)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

Editing Conceptual Knowledge for Large Language Models
by: Wang, Xiaohan, et al.
Published: (2024)

Large Language Models Are Not Robust Multiple Choice Selectors
by: Zheng, Chujie, et al.
Published: (2023)

Contrastive Learning for Knowledge-Based Question Generation in Large Language Models
by: Zhang, Zhenhong, et al.
Published: (2024)

Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications
by: Wang, Zhanliang, et al.
Published: (2025)

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
by: Tian, Bozhong, et al.
Published: (2024)

Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models
by: Li, Bozhou, et al.
Published: (2024)

NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
by: Zheng, Jonathan, et al.
Published: (2024)

RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment
by: Yang, Kevin, et al.
Published: (2023)

Cross-Lingual Optimization for Language Transfer in Large Language Models
by: Lee, Jungseob, et al.
Published: (2025)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
by: Shu, Dong, et al.
Published: (2024)

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
by: Yuan, Dun, et al.
Published: (2025)

Training-Free Test-Time Contrastive Learning for Large Language Models
by: Zheng, Kaiwen, et al.
Published: (2026)

Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
by: Xu, Shaoyang, et al.
Published: (2024)