Papers
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
Yifeng Wang, Xueying Zhan, Siyu Huang
AutoAlign: Get Your LLM Aligned with Minimal Annotations
Xinyu Lu, Dong Xu, Chunkang Zhang et al.
AutoArabic: A Three-Stage Framework for Localizing Video-Text Retrieval Benchmarks
Mohamed Eltahir, Osamah Sarraj, Abdulrahman M. Alfrihidi et al.
Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions
Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia et al.
AutoBencher: Towards Declarative Benchmark Construction
Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu et al.
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs
Jiawei Chen, Xiao Yang, Zhengwei Fang et al.
AutoCATE: End-to-End, Automated Treatment Effect Estimation
Toon Vanderschueren, Tim Verdonck, Mihaela Van Der Schaar et al.
AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training
Guanbin Xu, Zhihao Le, Yinhe Chen et al.
AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
Pei Zhou, Ruizhe Liu, Qian Luo et al.
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Yicheng Chen, Xiangtai Li, Yining Li et al.
AutoChunker: Structured Text Chunking and its Evaluation
Arihant Jain, Purav Aggarwal, Anoop Saladi
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan et al.
AutoClean: LLMs Can Prepare Their Training Corpus
Xingyu Shen, Shengding Hu, Xinrong Zhang et al.
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs
Yi-Ting Shen, Sungmin Eum, Doheon Lee et al.
Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens
Runpeng Yu, Xinyin Ma, Xinchao Wang
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.
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
Alexander Capstick, Rahul Krishnan, Payam Barnaghi
Auto-Encoded Supervision for Perceptual Image Super-Resolution
MinKyu Lee, Sangeek Hyun, Woojin Jun et al.
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori, Il Min Kim, Guanghui Wang