Oral Papers
1,594 papers found • Page 12 of 32
Conference
KGMark: A Diffusion Watermark for Knowledge Graphs
Hongrui Peng, Haolang Lu, Yuanlong Yu et al.
KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Rui Peng, Yuchen Lu, Qichen Sun et al.
Knee-Deep in C-RASP: A Transformer Depth Hierarchy
Andy J Yang, Michaël Cadilhac, David Chiang
Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
Xin Gu, Yaojie Shen, Chenxi Luo et al.
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian Knight et al.
KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
Ronghua Zheng, Hanru Bai, Weiyang Ding
KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
Shimin Zhang, Ziyuan Ye, Yinsong Yan et al.
Kronecker Mask and Interpretive Prompts are Language-Action Video Learners
Jingyi Yang, Zitong YU, Nixiuming et al.
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
Zaifeng Pan, AJJKUMAR DAHYALAL PATEL, Yipeng Shen et al.
KV Shifting Attention Enhances Language Modeling
Mingyu Xu, Bingning Wang, Weipeng Chen
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon et al.
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery
Ziwei Shi, Xiaoran Zhang, Wenjing Xu et al.
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
Wenzhe Niu, Zongxia Xie, Yanru Sun et al.
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
John Gkountouras, Matthias Lindemann, Phillip Lippe et al.
Language Model Alignment in Multilingual Trolley Problems
Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti et al.
Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
James Michaelov, Roger Levy, Benjamin Bergen
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths
Large Language Diffusion Models
Shen Nie, Fengqi Zhu, Zebin You et al.
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
Jiani Huang, Ziyang Li, Mayur Naik et al.
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
Haoran Li, CHENHAN XIAO, Muhao Guo et al.
Latent Principle Discovery for Language Model Self-Improvement
Keshav Ramji, Tahira Naseem, Ramón Astudillo
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
Guangze Zheng, Shijie Lin, Haobo Zuo et al.
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao et al.
LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models
Hao Sun, Huailiang Peng, Qiong Dai et al.
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
Li Ding, Hao Zhang, Wenrui Dai et al.
Learnable Spatial-Temporal Positional Encoding for Link Prediction
Katherine Tieu, Dongqi Fu, Zihao Li et al.
Learning (Approximately) Equivariant Networks via Constrained Optimization
Andrei Manolache, Luiz Chamon, Mathias Niepert
Learning Changes in Graphon Attachment Network Models
Xinyuan Fan, Bufan Li, Chenlei Leng et al.
Learning Dynamics in Continual Pre-Training for Large Language Models
Xingjin Wang, Howe Tissue, Lu Wang et al.
Learning dynamics in linear recurrent neural networks
Alexandra Proca, Clémentine Dominé, Murray Shanahan et al.
Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting
Yiming Wang, Lucy Chai, Xuan Luo et al.
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
Till Freihaut, Luca Viano, Volkan Cevher et al.
Learning Event Completeness for Weakly Supervised Video Anomaly Detection
Yu Wang, Shiwei Chen
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Sicong Liu, Yang Shu, Chenjuan Guo et al.
Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
Francesco Cozzi, Marco Pangallo, Alan Perotti et al.
Learning Linear Attention in Polynomial Time
Morris Yau, Ekin Akyürek, Jiayuan Mao et al.
Learning long range dependencies through time reversal symmetry breaking
Guillaume Pourcel, Maxence Ernoult
Learning Parameterized Skills from Demonstrations
Vedant Gupta, Haotian Fu, Calvin Luo et al.
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
Yanru Sun, Zongxia Xie, Emadeldeen Eldele et al.
Learning Robust Spectral Dynamics for Temporal Domain Generalization
En Yu, Jie Lu, Xiaoyu Yang et al.
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
Xiang Fu, Brandon Wood, Luis Barroso-Luque et al.
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu, Yicheng Luo, Boyuan Li et al.
Learning Spatial-Aware Manipulation Ordering
Yuxiang Yan, Zhiyuan Zhou, Xin Gao et al.
Learning Spatiotemporal Dynamical Systems from Point Process Observations
Valerii Iakovlev, Harri Lähdesmäki
Learning Successor Features with Distributed Hebbian Temporal Memory
Evgenii Dzhivelikian, Petr Kuderov, Aleksandr Panov
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning
Menglong Zhang, Fuyuan Qian, Quanying Liu
Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance
meng wang, Fan Wu, Ruihui Li et al.
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
Zhuo He, Shuang Li, Wenze Song et al.
Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
Weihan Li, Yule Wang, Chengrui Li et al.
Learning to Factorize Spatio-Temporal Foundation Models
Siru Zhong, Junjie Qiu, Yangyu Wu et al.