Papers
A Unifying Information-theoretic Perspective on Evaluating Generative Models
Alexis Fox, Samarth Swarup, Abhijin Adiga
A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
Da-Wei Zhou, Han-Jia Ye
A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts
Xuyi He, Yuhui Quan, Ruotao Xu et al.
AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360deg Unbounded Scene Inpainting
Chung-Ho Wu, Yang-Jung Chen, Ying-Huan Chen et al.
AURA-QG: Automated Unsupervised Replicable Assessment for Question Generation
Rajshekar K, Harshad Khadilkar, Pushpak Bhattacharyya
AURA-QG: Automated Unsupervised Replicable Assessment for Question Generation
Rajshekar K, Harshad Khadilkar, Pushpak Bhattacharyya
AURELIA: Test-time Reasoning Distillation in Audio-Visual LLMs
Sanjoy Chowdhury, Hanan Gani, Nishit Anand et al.
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Wenhao Chai, Enxin Song, Yilun Du et al.
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
Taishi Nakamura, Mayank Mishra, Simone Tedeschi et al.
AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context
Naba Rizvi, Harper Strickland, Daniel Gitelman et al.
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models
Lifeng Huang, Tian Su, Chengying Gao et al.
Authentic 4D Driving Simulation with a Video Generation Model
Lening Wang, Wenzhao Zheng, Dalong Du et al.
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.
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
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