Papers
K-12EduBench: A Benchmark for Evaluating Large Language Models’ Knowledge, Problem-Solving, and Educational Goal Cognition in K-12 Education
Yuqing Ye, Xuan Zhou, Zhifu Chen et al.
KAD: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
Kahaani: A Multimodal Co-Creative Storytelling System
Samee Arif, Muhammad Saad Haroon, Aamina Jamal Khan et al.
KALL-E: Autoregressive Speech Synthesis with Next-Distribution Prediction
Kangxiang Xia, Xinfa Zhu, Jixun Yao et al.
Kashif-AI at AbjadGenEval Shared Task: A Transformer-based Approach for Arabic AI-Generated Text Detection
Fatimah Mohamed Emad Eldin
KazakhOCR: A Synthetic Benchmark for Evaluating Multimodal Models in Low-Resource Kazakh Script OCR
Henry Gagnier, Sophie Gagnier, Ashwin Kirubakaran
KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
Peng Xu, Yapeng Li, Tinghuan Chen et al.
KD360-VoxelBEV: LiDAR and 360-degree Camera Cross Modality Knowledge Distillation for Bird's-Eye-View Segmentation
Wenke E, Yixin Sun, Jiaxu Liu et al.
KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing
Zhifei Li, Lifan Chen, Jiali Yi et al.
KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference
Yuxuan Tian, Zihan Wang, Yebo Peng et al.
Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training
Yang Zhang, Zhanxiang Cao, Buqing Nie et al.
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde et al.
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
Jiabin Fan, Guoqing Luo, Michael Bowling et al.
Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
Qian Zhang, Jinyi Liu, Yan Zheng et al.
KFS-Bench: Comprehensive Evaluation of Key Frame Sampling in Long Video Understanding
Zongyao Li, Kengo Ishida, Satoshi Yamazaki et al.
KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
Vítor Lourenço, Aline Paes, Tillman Weyde et al.
KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge
Alex Robertson, Huizhi Liang, Mahbub Gani et al.
Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives
Zihu Wang, Boxun Xu, Hejia Geng et al.
KidsArtBench: Multi-Dimensional Children’s Art Evaluation with Attribute-Aware MLLMs
Mingrui Ye, Chanjin Zheng, Zengyi Yu et al.
KineST: A Kinematics-guided Spatiotemporal State Space Model for Human Motion Tracking from Sparse Signals
Shuting Zhao, Zeyu Xiao, Xinrong Chen
K-LegalDeID: A Benchmark Dataset and KLUEBERT-CRF for De-identification in Korean Court Judgments
Wooseok Choi, Hyungbin Kim, Yon Dohn Chung
KMOPS: Keypoint-Driven Method for Multi-Object Pose and Metric Size Estimation from Stereo Images
Ying-Kun Wu, Yi Shen, Tzuhsuan Huang et al.
KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering
Liang Zhao, Tianqi Yue, Shubin Ma et al.
Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
Hans Hergen Lehmann, Jae Hee Lee, Steven Schockaert et al.
Knowing What’s Missing: Assessing Information Sufficiency in Question Answering
Akriti Jain, Aparna Garimella