Papers
16,685 papers found
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
Wenlin Zhong, Chengyuan Liu, Yiquan Wu et al.
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
Siyi Zhou, Yiquan Zhou, Yi He et al.
Evaluating, Synthesizing, and Enhancing for Customer Support Conversation
Jie Zhu, Huaixia Dou, Junhui Li et al.
A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation
Francesco Doria, Francesco Percassi, Marco Maratea et al.
Symmetry-Aware Transformer Training for Automated Planning
Markus Fritzsche, Elliot Gestrin, Jendrik Seipp
Learning Heuristic Functions for HTN Planning
Daniel Höller
Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests
Wendi Li, Hao Wu, Han Gao et al.
Good-for-MDP State Reduction for Stochastic LTL Planning
Christoph Weinhuber, Giuseppe De Giacomo, Yong Li et al.
Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov et al.
A Parallel CPU-GPU Framework for Batching Heuristic Operations in Depth-First Heuristic Search
Ehsan Futuhi, Nathan R. Sturtevant
Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach
Chaoqi Jia, Longkun Guo, Kewen Liao et al.
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
Fei Liu, Yilu Liu, Qingfu Zhang et al.
FPT Approximation Algorithms for TSP on Non-Metric Graphs
Jingyang Zhao, Zimo Sheng, Mingyu Xiao
SRAM: Shape-Realism Alignment Metric for No Reference 3D Shape Evaluation
Sheng Liu, Tianyu Luan, Phani Nuney et al.
Confirmation Bias: A Challenge for Scalable Oversight
Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon et al.
Mapping on a Budget: Optimizing Spatial Data Collection for ML
Livia Betti, Farooq Sanni, Gnouyaro Z. Sogoyou et al.
Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
Ankit Bhardwaj, Rohail Asim, Sachin Kumar Chauhan et al.
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
Jiangfan Liu, Yongkang Guo, Fangzhi Zhong et al.
KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving
Yuhuan Lu, Pengpeng Xu, Wei Wang et al.
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
Weilin Ruan, Xilin Dang, Ziyu Zhou et al.
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
Catherine Villeneuve, Benjamin Akera, Mélisande Teng et al.
DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting
Penghui Wen, Mengwei He, Patrick Filippi et al.
A Human-AI Collaboration Mechanism Study on AIGC Assisted Image Production for Special Coverage
Yajie Yang, Yuqing Zhao, Xiaochao Xi et al.
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
Xiaocai Zhang, Zhe Xiao, Maohan Liang et al.
Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole et al.