Papers
16,062 papers found
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu, Weiyang Liu, Haiwen Feng et al.
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
Yifan Feng, Chengwu Yang, Xingliang Hou et al.
Can Large Language Models Reason about Program Invariants?
Kexin Pei, David Bieber, Kensen Shi et al.
Can Large Language Models Understand Spatial Audio?
Changli Tang, Wenyi Yu, Guangzhi Sun et al.
Can Large Language Models (or Humans) Disentangle Text?
Nicolas Audinet de Pieuchon, Adel Daoud, Connor Jerzak et al.
Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning
Yoichi Ishibashi, Taro Yano, Masafumi Oyamada
Can Large Language Models Advance Crosswalks? The Case of Danish Occupation Codes
Bolei Ma, Cynthia A. Huang, Anna-Carolina Haensch
Can Large Language Models Generate High-quality Patent Claims?
Lekang Jiang, Caiqi Zhang, Pascal A. Scherz et al.
What can Large Language Models Capture about Code Functional Equivalence?
Nickil Maveli, Antonio Vergari, Shay B Cohen
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
Jason Li, Lauren Yraola, Kevin Zhu et al.
Can Large Language Models Grasp 3D Medical Anatomy Shapes? (Student Abstract)
Yao Gao, Feng Li, Jeroen Van Dessel et al.
Large Language Models can Implement Policy Iteration
Ethan Brooks, Logan Walls, Richard L Lewis et al.
AutoSurvey: Large Language Models Can Automatically Write Surveys
Yidong Wang, Qi Guo, Wenjin Yao et al.
How Teachers Can Use Large Language Models and Bloom’s Taxonomy to Create Educational Quizzes
Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung et al.
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Qidong Liu, Xian Wu, Wanyu Wang et al.
Importance Weighting Can Help Large Language Models Self-Improve
Chunyang Jiang, Chi-Min Chan, Wei Xue et al.
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Ruixiang Tang, Dehan Kong, Longtao Huang et al.
ItD: Large Language Models Can Teach Themselves Induction through Deduction
Wangtao Sun, Haotian Xu, Xuanqing Yu et al.
Large Language Models Can Learn Temporal Reasoning
Siheng Xiong, Ali Payani, Ramana Kompella et al.
Large Language Models can Share Images, Too!
Young-Jun Lee, Dokyong Lee, Joo Won Sung et al.
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
Wanli Yang, Fei Sun, Xinyu Ma et al.
Can Multimodal Large Language Models Understand Spatial Relations?
Jingping Liu, Ziyan Liu, Zhedong Cen et al.
CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?
Aashish Anantha Ramakrishnan, Aadarsh Anantha Ramakrishnan, Dongwon Lee
SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
Bijoy Ahmed Saiem, MD Sadik Hossain Shanto, Rakib Ahsan et al.