Papers
AutoMV: An Autonomous Agent Framework for Real Estate Marketing Video Generation
Kuizong Wu, Shaozu Yuan, Chang Shen et al.
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Jannis Becktepe, Leona Hennig, Steffen Oeltze-Jafra 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
Autonomy-of-Experts Models
Ang Lv, Ruobing Xie, Yining Qian et al.
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.
AutoPDL: Automatic Prompt Optimization for LLM Agents
Claudio Spiess, Mandana Vaziri, Louis Mandel 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.
AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models
Sayed Hossain, Simon Ostermann, Patrick Gebhard et al.
AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment
Xiaochong Lan, Jie Feng, Yinxing Liu et al.
Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving
Ankit Bhardwaj, Amar Phanishayee, Deepak Narayanan et al.
Autoregressive Adaptive Hypergraph Transformer for Skeleton-Based Activity Recognition
Abhisek Ray, Ayush Raj, Maheshkumar H. Kolekar
Autoregressive Denoising Score Matching is a Good Video Anomaly Detector
Hanwen Zhang, Congqi Cao, Qinyi Lv et al.
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions
Zichen Geng, Zeeshan Hayder, Wei Liu et al.
Autoregressive Distillation of Diffusion Transformers
Yeongmin Kim, Sotiris Anagnostidis, Yuming Du et al.