4 citations · 5 across the 8 of their papers we have counts for
8 papers
DiverValue-Bench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values
Yao Liang, Dongcheng Zhao, Feifei Zhao +4
Aligning large language models (LLMs) with diverse human values is essential for safe and effective deployment, yet existing benchmarks often overlook cultural and demographic vari…
Super Co-alignment of Human and AI for Sustainable Symbiotic Society
Yi Zeng, Feifei Zhao, Yuwei Wang +13
As Artificial Intelligence (AI) advances toward Artificial General Intelligence (AGI) and eventually Artificial Superintelligence (ASI), it may potentially surpass human control, d…
AI Governance InternationaL Evaluation Index (AGILE Index) 2024
Yi Zeng, Enmeng Lu, Xin Guan +14
The rapid advancement of Artificial Intelligence (AI) technology is profoundly transforming human society and concurrently presenting a series of ethical, legal, and social issues.…
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Yao Liang, Yuwei Wang, Yi Zeng
The fine-tuning of Large Language Models (LLMs) is pivotal for achieving optimal performance across diverse downstream tasks. However, while full fine-tuning delivers superior resu…
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Yao Liang, Yuwei Wang, Yang Li +1
Fine-tuning techniques based on Large Pretrained Language Models (LPLMs) have been proven to significantly enhance model performance on a variety of downstream tasks and effectivel…
STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models
Yuwei Wang, Enmeng Lu, Zizhe Ruan +2
This paper presents Social data and knowledge collective intelligence platform for TRaining Ethical AI Models (STREAM) to address the challenge of aligning AI models with human mor…
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering
Yao Liang, Hongjian Fang, Yi Zeng +1
Reasoning and question answering as a basic cognitive function for humans, is nevertheless a great challenge for current artificial intelligence. Although the Differentiable Neural…
Brain-inspired Graph Spiking Neural Networks for Commonsense Knowledge Representation and Reasoning
Hongjian Fang, Yi Zeng, Jianbo Tang +3
How neural networks in the human brain represent commonsense knowledge, and complete related reasoning tasks is an important research topic in neuroscience, cognitive science, psyc…