Papers
ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
Dongchao Yang, Songxiang Liu, Haohan Guo et al.
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
Junkang Wu, Xue Wang, Zhengyi Yang et al.
AlphaPO: Reward Shape Matters for LLM Alignment
Aman Gupta, Shao Tang, Qingquan Song et al.
AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
Zhoufan Zhu, Ke Zhu
Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search
Boyan Li, Jiayi Zhang, Ju Fan et al.
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
Pranjal Aggarwal, Bryan Parno, Sean Welleck
A Machine Learning Approach to Duality in Statistical Physics
Prateek Gupta, Andrea E. V. Ferrari, Nabil Iqbal
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
A Market for Accuracy: Classification Under Competition
Ohad Einav, Nir Rosenfeld
A Mathematical Framework for AI-Human Integration in Work
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
am-ELO: A Stable Framework for Arena-based LLM Evaluation
Zirui Liu, Jiatong Li, Yan Zhuang et al.
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
Yiming Chen, Yuan Zhang, Yin Liu et al.
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
Hui Lan, Haoge Chang, Eleanor Wiske Dillon et al.
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
Suyu Liu, Zhiguang Cao, Shanshan Feng et al.
A Mixture-Based Framework for Guiding Diffusion Models
Yazid Janati, Badr Moufad, Mehdi Abou El Qassime et al.
A Model of Place Field Reorganization During Reward Maximization
M Ganesh Kumar, Blake Bordelon, Jacob A Zavatone-Veth et al.
AMPO: Active Multi Preference Optimization for Self-play Preference Selection
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang et al.
A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making
Yi Xie, Jaedong Hwang, Carlos D Brody et al.
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
Thibaut Boissin, Franck Mamalet, Thomas Fel et al.
An All-Atom Generative Model for Designing Protein Complexes
Ruizhe Chen, Dongyu Xue, Xiangxin Zhou et al.
AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling
Jian Gao, Weidong Cao, Xuan Zhang
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
Yadong Sun, Xiaofeng Cao, Ivor Tsang et al.
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Haohan Zou, Jie Feng, Hao Zhao et al.
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Daniil Laptev, Nikita Balagansky, Yaroslav Aksenov et al.
An Analysis for Reasoning Bias of Language Models with Small Initialization
Junjie Yao, Zhongwang Zhang, Zhi-Qin John Xu