Papers
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
Xi Chen, Chuan Qin, Chuyu Fang et al.
John Ellipsoids via Lazy Updates
David P. Woodruff, Taisuke Yasuda
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
Divyam Madaan, Taro Makino, Sumit Chopra et al.
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images
Zhecan Wang, Junzhang Liu, Chia-Wei Tang et al.
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
Mincheol Chang, Siyeong Lee, Jinkyu Kim et al.
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Jiatao Gu, Ying Shen, Shuangfei Zhai et al.
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
Xinran Li, Ling Pan, Jun Zhang
KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts
Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li et al.
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
Fangcheng Liu, Yehui Tang, Zhenhua Liu et al.
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
Kaifeng Lyu, Haoyu Zhao, Xinran Gu et al.
Kermut: Composite kernel regression for protein variant effects
Peter Mørch Groth, Mads Herbert Kerrn, Lars Olsen et al.
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
Sattar Vakili, Julia Olkhovskaya
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
Alexander Nikitin, Jannik Kossen, Yarin Gal et al.
Kernel PCA for Out-of-Distribution Detection
Kun Fang, Qinghua Tao, Kexin Lv et al.
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
Chengkai Hou, Zhengrong Xue, Bingyang Zhou et al.
KFNN: K-Free Nearest Neighbor For Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
Pengcheng Jiang, Lang Cao, Cao Xiao et al.
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
Alex Mathai, Chenxi Huang, Petros Maniatis et al.
KnowGPT: Knowledge Graph based Prompting for Large Language Models
Qinggang Zhang, Junnan Dong, Hao Chen et al.
Knowledge Circuits in Pretrained Transformers
Yunzhi Yao, Ningyu Zhang, Zekun Xi et al.
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
Frederic Z. Zhang, Paul Albert, Cristian Rodriguez-Opazo et al.
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
Yicheng Luo, Zhen Liu, Linghao Wang et al.
Knowledge Graph Completion by Intermediate Variables Regularization
Changyi Xiao, Yixin Cao
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
Youngwan Lee, Kwanyong Park, Yoorhim Cho et al.
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
Jie Yang, Wang Zeng, Sheng Jin et al.