Cover Image

C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Ping, Shen, Guobin, Zhao, Dongcheng, Wang, Yuwei, Dong, Yiting, Shi, Yu, Lu, Enmeng, Zhao, Feifei, Zeng, Yi
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

MVPBench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values
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)

Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories
by: Shen, Guobin, et al.
Published: (2025)

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

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)

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

Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind
by: Tong, Haibo, et al.
Published: (2024)

Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning
by: He, Xiang, et al.
Published: (2025)

Brain-Inspired Stepwise Patch Merging for Vision Transformers
by: Yu, Yonghao, et al.
Published: (2024)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
by: Feng, Linghao, et al.
Published: (2024)

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
by: Dong, Yiting, et al.
Published: (2024)

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

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

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
by: Shen, Guobin, et al.
Published: (2024)

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

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

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA
by: Li, Jindong, et al.
Published: (2025)

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

Brain-inspired and Self-based Artificial Intelligence
by: Zeng, Yi, et al.
Published: (2024)

$SpikePack$: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility
by: Shen, Guobin, et al.
Published: (2025)

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

Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)

Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models
by: Zhang, Peiyi, et al.
Published: (2024)

FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture
by: Li, Tenglong, et al.
Published: (2024)

FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration with Dual-Engine Overlay Architecture
by: Li, Tenglong, et al.
Published: (2025)

FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control
by: Li, Tenglong, et al.
Published: (2026)

Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines
by: Li, Jindong, et al.
Published: (2024)

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain
by: He, Xiang, et al.
Published: (2023)

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

Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA
by: Li, Jindong, et al.
Published: (2025)

Assessment of Multimodal Large Language Models in Alignment with Human Values
by: Shi, Zhelun, et al.
Published: (2024)

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)

VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models
by: Xu, Hefei, et al.
Published: (2026)

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
by: P Team, et al.
Published: (2025)

Adversarial Alignment: Ensuring Value Consistency in Large Language Models for Sensitive Domains
by: Gao, Yuan, et al.
Published: (2026)

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks
by: Shen, Guobin, et al.
Published: (2025)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

Benchmarking Multi-National Value Alignment for Large Language Models
by: Shi, Weijie, et al.
Published: (2025)

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models
by: Guo, Hanze, et al.
Published: (2025)