Summary of Combating Adversarial Attacks with Multi-agent Debate, by Steffi Chern et al.
Combating Adversarial Attacks with Multi-Agent Debateby Steffi Chern, Zhen Fan, Andy LiuFirst submitted to arxiv…
Combating Adversarial Attacks with Multi-Agent Debateby Steffi Chern, Zhen Fan, Andy LiuFirst submitted to arxiv…
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasksby Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai,…
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systemsby Tianyu Cui, Yanling Wang,…
Less is More: A Closer Look at Semantic-based Few-Shot Learningby Chunpeng Zhou, Haishuai Wang, Xilu…
TechGPT-2.0: A large language model project to solve the task of knowledge graph constructionby Jiaqi…
Maintaining Journalistic Integrity in the Digital Age: A Comprehensive NLP Framework for Evaluating Online News…
Escalation Risks from Language Models in Military and Diplomatic Decision-Makingby Juan-Pablo Rivera, Gabriel Mukobi, Anka…
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasksby Haoyuan Wu,…
Trace and Edit Relation Associations in GPTby Jiahang Li, Taoyu Chen, Yuanli WangFirst submitted to…
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignmentby Ziping Ma, Furong Xu, Jian…