Papers
Automating the Expansion of Instrument Typicals in Piping and Instrumentation Diagrams (P&IDs)
Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch et al.
Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract)
Daniel Cao, Michael Katz, Harsha Kokel et al.
Automating Violence Detection and Categorization from Ancient Texts
Alhassan Abdelhalim, Michaela Regneri
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation
Xiechi Zhang, Zetian Ouyang, Linlin Wang et al.
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
Lei Li, Xiangxu Zhang, Xiao Zhou et al.
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M Devraj et al.
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers
Ernie Chang, Yang Li, Patrick Huber et al.
AutoML Meets Hugging Face: Domain-Aware Pretrained Model Selection for Text Classification
Parisa Safikhani, David Broneske
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
Zekang Yang, Wang Zeng, Sheng Jin et al.
Automotive Document Labeling Using Large Language Models
Dang Van Thin, Cuong Xuan Chu, Christian Graf et al.
AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation
Kuizong Wu, Shaozu Yuan, Chang Shen et al.
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
Yifan Zhang, Yifan Luo, Yang Yuan et al.
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Rushang Karia, Daniel Richard Bramblett, Daksh Dobhal et al.
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
Yiwei Shi, Muning Wen, Qi Zhang et al.
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
Honglei Miao, Fan Ma, Ruijie Quan et al.
Autonomous Machine Learning-Based Peer Reviewer Selection System
Nurmukhammed Aitymbetov, Dimitrios Zorbas
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
Rashmeet Kaur Nayyar, Siddharth Srivastava
AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting
Xiaoyu Zhou, Jingqi Wang, Yongtao Wang et al.
AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs
Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D Phan et al.
AutoPenBench: A Vulnerability Testing Benchmark for Generative Agents
Luca Gioacchini, Alexander Delsanto, Idilio Drago et al.
AutoPresent: Designing Structured Visuals from Scratch
Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou et al.
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
Yufan Liu, Wanqian Zhang, Huashan Chen et al.
Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs
Soham Satyadharma, Fatemeh Sheikholeslami, Swati Kaul et al.
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
Chengyin Li, Rafi Ibn Sultan, Prashant Khanduri et al.
AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
Yungeng Liu, Zan Chen, Yuguang Wang et al.