Papers
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
Fusheng Liu, Qianxiao Li
AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents
Fengze Liu, Haoyu Wang, Joonhyuk Cho et al.
AutoCVSS: Assessing the Performance of LLMs for Automated Software Vulnerability Scoring
Davide Sanvito, Giovanni Arriciati, Giuseppe Siracusano et al.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav et al.
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
Xiaogeng Liu, Peiran Li, G. Edward Suh et al.
AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark
Lan Li, Liri Fang, Bertram Ludäscher et al.
AutoDSPy: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models
Nafew Azim, Abrar Ur Alam, Hasan Bin Omar et al.
Auto-Encoded Supervision for Perceptual Image Super-Resolution
MinKyu Lee, Sangeek Hyun, Woojin Jun et al.
Autoencoders in Function Space
Justin Bunker, Mark Girolami, Hefin Lambley et al.
Auto Encoding Neural Process for Multi-interest Recommendation
Yiheng Jiang, Yuanbo Xu, Yongjian Yang et al.
AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems
Arihant Jain, Purav Aggarwal, Rishav Sahay et al.
AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking
Ding-Chu Zhang, Xiaowen Zhang, Yue Fei et al.
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
Shifu Hou, Rick Johnson, Ramandeep Makhija et al.
Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
Lan Zhang, Marco Valentino, Andre Freitas
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
Abhinav Lalwani, Tasha Kim, Lovish Chopra et al.
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
Abhinav Lalwani, Tasha Kim, Lovish Chopra et al.
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.
AutoG: Towards automatic graph construction from tabular data
Zhikai Chen, Han Xie, Jian Zhang et al.
AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs
Hongxin Li, Jingfan Chen, Jingran Su et al.
AutoIntent: AutoML for Text Classification
Ilya Alekseev, Roman Solomatin, Darina Rustamova et al.
AutoKB: Automated Creation of Structured Knowledge Bases for Domain-Specific Support
Rishav Sahay, Arihant Jain, Purav Aggarwal et al.
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
Yuheng Xu, Shijie Yang, Xin Liu et al.
Automated Assessment of Student Self-Explanation in Code Comprehension Using Pre-Trained Language Models
Jeevan Chapagain, Vasile Rus
Automated Authentication of Quranic Verses Using BERT (Bidirectional Encoder Representations from Transformers) based Language Models
Khubaib Amjad Alam, Maryam Khalid, Syed Ahmed Ali et al.
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
JianXing Liao, Junyan Xu, Yatao Sun et al.