2025 Papers
21,856 papers found • Page 398 of 438
Towards more rigorous evaluations of language models
Desi R Ivanova, Ilija Ilievski, Momchil Konstantinov
Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints
Qinfu Xu, Yiwei Wei, Chunlei Wu et al.
Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling
Jingyun Xue, WANG HongFa, Qi Tian et al.
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs
Shih-Hsin Wang, Yuhao Huang, Taos Transue et al.
Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration
Zhang Junyu, Lizhong Ding, MinghongZhang et al.
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark
Hao Guo, Xugong Qin, Jun Jie Ou Yang et al.
Towards Neural Scaling Laws for Time Series Foundation Models
Qingren Yao, Chao-Han Huck Yang, Renhe Jiang et al.
Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation
Kaining Ying, Henghui Ding, Guangquan Jie et al.
Towards Open-Vocabulary Audio-Visual Event Localization
Jinxing Zhou, Dan Guo, Ruohao Guo et al.
Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation
Chengyang Ye, Yunzhi Zhuge, Pingping Zhang
Towards Open-World Generation of Stereo Images and Unsupervised Matching
Feng Qiao, Zhexiao Xiong, Eric Xing et al.
Towards Optimal Multi-draft Speculative Decoding
Zhengmian Hu, Tong Zheng, Vignesh Viswanathan et al.
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
Max Kahl, Sebastian Stricker, Lisa Hutschenreiter et al.
Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
Zhuo Huang, Gang Niu, Bo Han et al.
Towards Performance Consistency in Multi-Level Model Collaboration
Qi Li, Runpeng Yu, Xinchao Wang
Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach
Yunuo Chen, Junli Cao, Vidit Goel et al.
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study
Guanlin (Frank) Wu, Boyan Su, Yang Zhao et al.
Towards Practical Classical Planning Compilations of Numeric Planning
Luigi Bonassi, Francesco Percassi, Enrico Scala
Towards Practical Defect-Focused Automated Code Review
Junyi Lu, Lili Jiang, Xiaojia Li et al.
Towards Practical Real-Time Neural Video Compression
Zhaoyang Jia, Bin Li, Jiahao Li et al.
Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion
Haoyu Wang, Le Wang, Sanping Zhou et al.
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
Hyunjin Seo, Kyusung Seo, Joonhyung Park et al.
Towards Precise Scaling Laws for Video Diffusion Transformers
Yuanyang Yin, Yaqi Zhao, Mingwu Zheng et al.
Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset
Ming Hsiu Wu, Ziqian Xie, Shuiwang Ji et al.
Towards Predicting Any Human Trajectory In Context
Ryo Fujii, Hideo Saito, Ryo Hachiuma
Towards Pre-trained Graph Condensation via Optimal Transport
Yeyu Yan, Shuai Zheng, Wenjun Hui et al.
Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control
Aleksandar Makelov, Georg Lange, Neel Nanda
Towards Principled Unsupervised Multi-Agent Reinforcement Learning
Riccardo Zamboni, Mirco Mutti, Marcello Restelli
Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning
Jieyi Tan, Chengwei Zhang, Bo Dang et al.
Towards Projected and Incremental Pseudo-Boolean Model Counting
Suwei Yang, Kuldeep S. Meel
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
Taoran Zheng, Yan Yang, Xing Li et al.
Towards Provable Emergence of In-Context Reinforcement Learning
Jiuqi Wang, Rohan Chandra, Shangtong Zhang
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
Yuanchen Wu, Ke Yan, Shouhong Ding et al.
Towards RAW Object Detection in Diverse Conditions
Zhong-Yu Li, Xin Jin, Bo-Yuan Sun et al.
Towards Realistic Data Generation for Real-World Super-Resolution
Long Peng, Wenbo Li, Renjing Pei et al.
Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology
Luting Wang, Yinghao Xiang, Hongliang Huang et al.
Towards Realistic Example-based Modeling via 3D Gaussian Stitching
Xinyu Gao, Ziyi Yang, Bingchen Gong et al.
Towards Realistic Semi-supervised Medical Image Classification
Wenxue Li, Lie Ju, Feilong Tang et al.
Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology
Xiangyu Wang, Donglin Yang, ziqin wang et al.
Towards Real-Time Approximate Counting
Yash Pote, Kuldeep S. Meel, Jiong Yang
Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
Muhammad Aqeel, Shakiba Sharifi, Marco Cristani et al.
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
Wenxiao Wu, Jing-Hao Xue, Chengming Xu et al.
Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
Sanghyun Ahn, Wonje Choi, Junyong Lee et al.
Towards Reliable Identification of Diffusion-based Image Manipulations
Alex Costanzino, Woody Bayliss, Juil Sock et al.
Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation
Shiyuan Yin, Chenjia Bai, Zihao Zhang et al.
Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
Boheng Li, Renjie Gu, Junjie Wang et al.
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
Junkang Wu, Yuexiang Xie, Zhengyi Yang et al.
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
Sungmin Cha, Sungjun Cho, Dasol Hwang et al.
Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
Wenkui Yang, Jie Cao, Junxian Duan et al.
Towards Robust Influence Functions with Flat Validation Minima
Xichen Ye, Yifan Wu, Weizhong Zhang et al.