Papers
11,015 papers found
AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
Yiheng Xu, Dunjie Lu, Zhennan Shen et al.
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu et al.
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
Yinqi Bai, Jie Wang, Lei Chen et al.
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
Yipei Wang, Xiaoqian Wang
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
Jiafei Duan, Wilbert Pumacay, Nishanth Kumar et al.
AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks
Van Nguyen, Tingmin Wu, Xingliang YUAN et al.
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
Ximing Lu, Melanie Sclar, Skyler Hallinan et al.
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements
Adriana Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi et al.
Aioli: A Unified Optimization Framework for Language Model Data Mixing
Mayee F Chen, Michael Y. Hu, Nicholas Lourie et al.
AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories
Yi Zeng, Yu Yang, Andy Zhou et al.
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
Jindong Tian, Yuxuan Liang, Ronghui Xu et al.
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
Teun van der Weij, Felix Hofstätter, Oliver Jaffe et al.
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
Can Rong, Jingtao Ding, Yan Liu et al.
A Large-scale Training Paradigm for Graph Generative Models
Yu Wang, Ryan A. Rossi, Namyong Park et al.
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
Shaonan Wu, Shuai Lu, Yeyun Gong et al.
Algorithmic Stability Based Generalization Bounds for Adversarial Training
Runzhi Tian, Yongyi Mao
Aligned Better, Listen Better for Audio-Visual Large Language Models
Yuxin Guo, Shuailei Ma, Shijie Ma et al.
Aligned Datasets Improve Detection of Latent Diffusion-Generated Images
Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser et al.
Aligned LLMs Are Not Aligned Browser Agents
Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar et al.
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
Ziqi Pang, Xin Xu, Yu-Xiong Wang
Aligning Human Motion Generation with Human Perceptions
Haoru Wang, Wentao Zhu, Luyi Miao et al.
Aligning Language Models with Demonstrated Feedback
Omar Shaikh, Michelle S. Lam, Joey Hejna et al.
Aligning Visual Contrastive learning models via Preference Optimization
Amirabbas Afzali, Borna khodabandeh, Ali Rasekh et al.
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
Suyu Ge, Xihui Lin, Yunan Zhang et al.