Papers
14,125 papers found
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint)
Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti et al.
TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint)
Alex X. Wang, Binh P. Nguyen
Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint)
Lei Wang, Piotr Koniusz
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint)
Xinyan Wang, Jinshuo Liu, Juan Deng et al.
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint)
Chuyuan Wei, Ke Duan, Shengda Zhuo et al.
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint)
Yujie Yang, Hanjiang Hu, Tianhao Wei et al.
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds (Abstract Reprint)
Matthias Zeller, Vardeep Singh Sandhu, Benedikt Mersch et al.
HiMo: High-Speed Objects Motion Compensation in Point Clouds (Abstract Reprint)
Qingwen Zhang, Ajinkya Khoche, Yi Yang et al.
HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction (Abstract Reprint)
Wei Zhang, Qing Cheng, David Skuddis et al.
TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer (Abstract Reprint)
Shaohong Zhong, Alessandro Albini, Perla Maiolino et al.
Temporally Abstract Partial Models
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici et al.
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
Christopher Rytting, David Wingate
Learning Efficient Abstract Planning Models that Choose What to Predict
Nishanth Kumar, Willie McClinton, Rohan Chitnis et al.
Planning with Abstract Learned Models While Learning Transferable Subtasks
John Winder, Stephanie Milani, Matthew Landen et al.
Can You Answer This? – Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract)
Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov et al.
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)
Magdalena Proszewska, Marcin Mazur, Tomasz Trzciński et al.
ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract)
Zhenyu Xu, Ruoyu Xu, Victor S. Sheng
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
Chenxu Zhao, Wei Qian, Yucheng Shi et al.
Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)
Austin L. Davis, Gita Sukthankar
Linear Decoding of Morphology Relations in Language Models (Student Abstract)
Eric Xia, Jugal Kalita
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns
Yew Ken Chia, Vernon Toh, Deepanway Ghosal et al.
Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract)
Alex Damian, Loucas Pillaud-Vivien, Jason Lee et al.
AbsVis – Benchmarking How Humans and Vision-Language Models “See” Abstract Concepts in Images
Tarun Tater, Diego Frassinelli, Sabine Schulte im Walde
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
Yichao Liang, Nishanth Kumar, Hao Tang et al.