Summary of From Data to Commonsense Reasoning: the Use Of Large Language Models For Explainable Ai, by Stefanie Krause et al.
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AIby Stefanie…
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AIby Stefanie…
Do Generalised Classifiers really work on Human Drawn Sketches?by Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan…
ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agentsby Zhigen Li, Jianxiang Peng,…
MobileExperts: A Dynamic Tool-Enabled Agent Team in Mobile Devicesby Jiayi Zhang, Chuang Zhao, Yihan Zhao,…
CRiM-GS: Continuous Rigid Motion-Aware Gaussian Splatting from Motion-Blurred Imagesby Jungho Lee, Donghyeong Kim, Dogyoon Lee,…
Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the…
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasksby Amit Parekh,…
Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Databy Zihui Gu, Xingwu Sun, Fengzong Lian,…
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMsby LLM-jp,…
Benchmarking Complex Instruction-Following with Multiple Constraints Compositionby Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu,…