Summary of When Large Language Model Agents Meet 6g Networks: Perception, Grounding, and Alignment, by Minrui Xu et al.
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignmentby Minrui Xu, Dusit…
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignmentby Minrui Xu, Dusit…
xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoningby Linzheng Chai, Jian Yang, Tao Sun, Hongcheng…
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertaintyby Kaitlyn Zhou,…
Human-Instruction-Free LLM Self-Alignment with Limited Samplesby Hongyi Guo, Yuanshun Yao, Wei Shen, Jiaheng Wei, Xiaoying…
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languagesby Zhuoyuan Mao,…
Agent Alignment in Evolving Social Normsby Shimin Li, Tianxiang Sun, Qinyuan Cheng, Xipeng QiuFirst submitted…
Quantifying stability of non-power-seeking in artificial agentsby Evan Ryan Gunter, Yevgeny Liokumovich, Victoria KrakovnaFirst submitted…
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with…
PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imagingby Jinlong He, Pengfei…
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignmentby Ziping Ma, Furong Xu, Jian…