Papers
A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models
Rashin Rahnamoun, Mehrnoush Shamsfard
AGRec: Adapting Autoregressive Decoders with Graph Reasoning for LLM-based Sequential Recommendation
Xinfeng Wang, Jin Cui, Fumiyo Fukumoto et al.
Agreement aware and dissimilarity oriented GLOM
Ru Zeng, Yan Song, Yang Zhang et al.
Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding
Koki Natsumi, Hiroyuki Deguchi, Yusuke Sakai et al.
Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding
Koki Natsumi, Hiroyuki Deguchi, Yusuke Sakai et al.
Agreement Volatility: A Second-Order Metric for Uncertainty Quantification in Surgical Robot Learning
Jordan Thompson, Britton Jordan, Daniel S. Brown et al.
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
Yipei Wang, Xiaoqian Wang
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment
Umair Nawaz, Awais Muhammad, Hanan Gani et al.
Agri-CM3: A Chinese Massive Multi-modal, Multi-level Benchmark for Agricultural Understanding and Reasoning
Haotian Wang, Yi Guan, Fanshu Meng et al.
AgroBench: Vision-Language Model Benchmark in Agriculture
Risa Shinoda, Nakamasa Inoue, Hirokatsu Kataoka et al.
AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning
Muhammad Awais, Ali Husain Salem Abdulla Alharthi, Amandeep Kumar et al.
A Grounded Typology of Word Classes
Coleman Haley, Sharon Goldwater, Edoardo Ponti
A Group Fairness Lens for Large Language Models
Guanqun Bi, Yuqiang Xie, Lei Shen et al.
Agtech Framework for Cranberry-Ripening Analysis using Vision Foundation Models
Faith Johnson, Ryan Meegan, Jack Lowry et al.
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
Gaurav Sahu, Olga Vechtomova, Issam H. Laradji
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Yiheng Xu, Zekun Wang, Junli Wang et al.
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
Huy Nguyen, Kien Nguyen, Akila Pemasiri et al.
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
Jiafei Duan, Wilbert Pumacay, Nishanth Kumar et al.
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model
Wenlun Zhang, Yunshan Zhong, Shimpei Ando et al.
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun et al.
A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention
Qiyu Xu, Zhanxuan Hu, Yu Duan et al.
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
Kasimir Tanner, Matteo Vilucchio, Bruno Loureiro et al.
A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract)
Xiaoqing Xu, Jiaming Pei, Lukun Wang
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation
Shijie Zhou, Ruiyi Zhang, Yufan Zhou et al.
A Hitchhiker’s Guide to Scaling Law Estimation
Leshem Choshen, Yang Zhang, Jacob Andreas