Papers
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers
Alberto Alfarano, François Charton, Amaury Hayat
Globally Convergent Variational Inference
Declan McNamara, Jackson Loper, Jeffrey Regier
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
Xixi Jia, Fangchen Feng, Deyu Meng et al.
Global Rewards in Restless Multi-Armed Bandits
Naveen Raman, Zheyuan Ryan Shi, Fei Fang
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
Amir Hossein Kargaran, François Yvon, Hinrich Schütze
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
Pengcheng Chen, Jin Ye, Guoan Wang et al.
GO4Align: Group Optimization for Multi-Task Alignment
Jiayi Shen, Qi (Cheems) Wang, Zehao Xiao et al.
Goal-Conditioned On-Policy Reinforcement Learning
Xudong Gong, Dawei Feng, Kele Xu et al.
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
Jiarui Wu, Yujin Wang, Lingen Li et al.
Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
Huzi Cheng, Joshua W. Brown
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
Chi-Chang Lee, Zhang-Wei Hong, Pulkit Agrawal
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen et al.
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching
Haibin He, Maoyuan Ye, Jing Zhang et al.
Gorilla: Large Language Model Connected with Massive APIs
Shishir G. Patil, Tianjun Zhang, Xin Wang et al.
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan et al.
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
Gradient-free Decoder Inversion in Latent Diffusion Models
Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee et al.
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
Gradient Guidance for Diffusion Models: An Optimization Perspective
Yingqing Guo, Hui Yuan, Yukang Yang et al.
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn
Gradient Rewiring for Editable Graph Neural Network Training
Zhimeng Jiang, Zirui Liu, Xiaotian Han et al.
Gradients of Functions of Large Matrices
Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy et al.
Gradient-Variation Online Learning under Generalized Smoothness
Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
Amirhossein Saberi, Amir Najafi, Amin Behjati et al.
Grammar-Aligned Decoding
Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick et al.