:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liang, Yao, Zhao, Dongcheng, Zhao, Feifei, Shen, Guobin, Wang, Yuwei, Liang, Dongqi, Zeng, Yi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.08022
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
by: Wu, Ping, et al.
Published: (2025)

Multi-Level Safety Continual Projection for Fine-Tuned Large Language Models without Retraining
by: Han, Bing, et al.
Published: (2025)

StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
by: Shen, Guobin, et al.
Published: (2024)

TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2025)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
by: Dong, Yiting, et al.
Published: (2024)

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
by: Shen, Guobin, et al.
Published: (2024)

Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2024)

Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense
by: Shen, Guobin, et al.
Published: (2025)

A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering
by: Liang, Yao, et al.
Published: (2023)

Bidirectional Intention Inference Enhances LLMs' Defense Against Multi-Turn Jailbreak Attacks
by: Tong, Haibo, et al.
Published: (2025)

Super Co-alignment of Human and AI for Sustainable Symbiotic Society
by: Zeng, Yi, et al.
Published: (2025)

Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
by: Shen, Guobin, et al.
Published: (2026)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
by: Liang, Feng, et al.
Published: (2025)

Aligning Large Language Models via Fine-grained Supervision
by: Xu, Dehong, et al.
Published: (2024)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
by: Song, Feifan, et al.
Published: (2024)

Fine-Tuning Improves Information Conveyance in Language Models
by: Cheng, Yuwei, et al.
Published: (2026)

ARS: Adaptive Reasoning Suppression for Efficient Large Reasoning Language Models
by: Zheng, Dongqi
Published: (2025)

Light Alignment Improves LLM Safety via Model Self-Reflection with a Single Neuron
by: Shen, Sicheng, et al.
Published: (2026)

Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
by: Luo, Ling, et al.
Published: (2023)

Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
by: Han, Bing, et al.
Published: (2022)

Impact of Fine-Tuning Methods on Memorization in Large Language Models
by: Hou, Jie, et al.
Published: (2025)

Large Language Models are Contrastive Reasoners
by: Yao, Liang
Published: (2024)

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning
by: Mai, Long, et al.
Published: (2024)

Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
by: Leong, Hui Yi, et al.
Published: (2024)

Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management
by: Wang, Yanan, et al.
Published: (2026)

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

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

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
by: Shen, Sicheng, et al.
Published: (2026)

Diverse Human Value Alignment for Large Language Models via Ethical Reasoning
by: Wang, Jiahao, et al.
Published: (2025)

Evaluating the Performance of Large Language Models on GAOKAO Benchmark
by: Zhang, Xiaotian, et al.
Published: (2023)

Memorization in Fine-Tuned Large Language Models
by: Savine, Danil
Published: (2025)

Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)

Efficient LLM Safety Evaluation through Multi-Agent Debate
by: Lin, Dachuan, et al.
Published: (2025)

Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
by: Ling, Zhenqing, et al.
Published: (2025)

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
by: Liu, Yan, et al.
Published: (2024)

EnviroExam: Benchmarking Environmental Science Knowledge of Large Language Models
by: Huang, Yu, et al.
Published: (2024)

Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models
by: Ding, Hongcheng, et al.
Published: (2024)

Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)

TIM: An Efficient Temporal Interaction Module for Spiking Transformer
by: Shen, Sicheng, et al.
Published: (2024)