Papers
2,737 papers found
ObjecTok: Learning Holistic and Robust Object Tokens for MLLMs
Sihan Wang, Xiyao Liu, Lianqing Liu et al.
Fine-Grained Representation for Lane Topology Reasoning
Guoqing Xu, Yiheng Li, Yang Yang
Top-Down Semantic Refinement for Image Captioning
Jusheng Zhang, Kaitong Cai, Jing Yang et al.
Proof Systems for Tensor-based Model Counting
Olaf Beyersdorff, Joachim Giesen, Andreas Goral et al.
Exact Algorithms for Distance to Unique Vertex Cover
Foivos Fioravantes, Dušan Knop, Nikolaos Melissinos et al.
Cubing for Tuning
Haoze Wu, Clark Barrett, Nina Narodytska
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
Yuan Gao, Hao Wu, Fan Xu et al.
LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
Hao Jiang, Guoquan Wang, Donglin Zhou et al.
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Zhen Tao, Xinke Jiang, Qingshuai Feng et al.
Meta Dynamic Graph for Traffic Flow Prediction
Yiqing Zou, Hanning Yuan, Qianyu Yang et al.
Cost-Free Neutrality for the River Method
Michelle Döring, Jannes Malanowski, Stefan Neubert
On Coresets for End-to-end Learning from Crowds
Hang Yang, Zhiwu Li, Witold Pedrycz
Hybrid Semantics Accounting for Argument Types
Leila Amgoud, Marco Hanocq, Marie-Christine Lagasquie-Schiex
Model Change for Description Logic Concepts
Ana Ozaki, Jandson S Ribeiro
Score-Based Model for Low-Rank Tensor Recovery
Zhengyun Cheng, Changhao Wang, Guanwen Zhang et al.
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning
Guanxiong He, Zheng Wang, Jie Wang et al.
Harmonic Dataset Distillation for Time Series Forecasting
Seungha Hong, Sanghwan Jang, Wonbin Kweon et al.
Denoising Mixup for Regression
Zhengzhang Hou, Zhanshan Li, Yanbo Liu et al.
Oxytrees: Model Trees for Bipartite Learning
Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi et al.
Variation-Bounded Loss for Noise-Tolerant Learning
Jialiang Wang, Xiong Zhou, Xianming Liu et al.
Think-J: Learning to Think for Generative LLM-as-a-Judge
Hui Huang, Yancheng He, Hongli Zhou et al.
OptScale: Probabilistic Optimality for Inference-time Scaling
Youkang Wang, Jian Wang, Rubing Chen et al.
Prune4Web: DOM Tree Pruning Programming for Web Agent
Jiayuan Zhang, Kaiquan Chen, Zhihao Lu et al.
Token-Context Attention for NLI: An Alternative to Self-Attention
Xin Zhang, Victor S. Sheng
ALTER: Asymmetric LoRA for Token-Entropy-Guided Unlearning of LLMs
Xunlei Chen, Jinyu Guo, Yuang Li et al.