Papers
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
ZAITANG LI, Pin-Yu Chen, Tsung-Yi Ho
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
Jiachen T. Wang, Tong Wu, Dawn Song et al.
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Xiaoxin He, Yijun Tian, Yifei Sun et al.
Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting
Jiawei Xu, Zexin Fan, Jian Yang et al.
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
Boshi Wang, Xiang Yue, Yu Su et al.
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Zeyang Liu, Xinrui Yang, Shiguang Sun et al.
Grounding Multimodal Large Language Models in Actions
Andrew Szot, Bogdan Mazoure, Harsh Agrawal et al.
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
Phillip Y. Lee, Taehoon Yoon, Minhyuk Sung
Group and Shuffle: Efficient Structured Orthogonal Parametrization
Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva et al.
Group Robust Preference Optimization in Reward-free RLHF
Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas et al.
Group-wise oracle-efficient algorithms for online multi-group learning
Samuel Deng, Daniel Hsu, Jingwen Liu
GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring
Dongwoo Lee, Joonkyu Park, Kyoung Mu Lee
GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction
Mulin Yu, Tao Lu, Linning Xu et al.
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
Sangeek Hyun, Jae-Pil Heo
GS-Hider: Hiding Messages into 3D Gaussian Splatting
Xuanyu Zhang, Jiarui Meng, Runyi Li et al.
GTA: A Benchmark for General Tool Agents
Jize Wang, Zerun Ma, Yining Li et al.
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
Jaewoo Lee, Sujin Yun, Taeyoung Yun et al.
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
Jinhao Duan, Renming Zhang, James Diffenderfer et al.
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
Yu Zhang, Changhao Pan, Wenxiang Guo et al.
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
Yijun Yang, Ruiyuan Gao, Xiao Yang et al.
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun, Sujin Yun, Jaewoo Lee et al.
GUIDE: Real-Time Human-Shaped Agents
Lingyu Zhang, Zhengran Ji, Nicholas R Waytowich et al.
Guiding a Diffusion Model with a Bad Version of Itself
Tero Karras, Miika Aittala, Tuomas Kynkäänniemi et al.
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame
Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes
Gaochao Song, Chong Cheng, Hao Wang