Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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ORCAGen: Orchestrating Context-Aware Malware Deception with RAG-Guided Generative AI
by Shihab Ahmed, Md Sajidul Islam Sajid, Teryl Taylor, Frederico Araujo, Tariqul Islam
Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark
by Christopher M. Stewart, Preston Botter, Natalie Sarabosing, Muye Zhang, Rachel Phinnemore, Shalini Ghosh, Hong Shen, Hoda Heidari
SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models
by Hongxing Li, Jinyue Su, Dingming Li, Wenqi Zhang, Weiming Lu, Jun Xiao, Yueting Zhuang, Yongliang Shen
Learning Kilometer-Scale Weather Prediction with Global-Regional Alignment
by Guowen Li, Yang Liu, Yujie Wang, Qiuyan Sun, Haoyuan Liang, Juepeng Zheng, Hong Cheng, Haohuan Fu
Prospective Prediction of OOD Degradation from Source-Side Training Dynamics
by Sasha (Alexander) Monin
HRIL: Learning Multimodal Synergy via Higher-Order Tensor Modeling
by Qun Dai, Liangjian Wen, Jiang Duan, Yong Dai, Dongkai Wang, Maolin Wang, Mingjie Wang, Jianzhuang Liu, He Yan, Zhao Kang
GeoReform: Reflective Formalization Evolution for Multimodal Geometry Problem Solving
by Jialu Wang, Ruichen Zhang, Xiaoou Liu, Hua Wei, Tianlong Chen
Long Text to Predictive Features: LLM-Guided Blockwise Feature Engineering via Executable Program Search
by Ziming Dai, Dabiao Ma, Ziheng Guo, Jack Dong, Zimu Zhou
Marformer: A Transformer for Predicting Missing Data Distributions
by Prabhav Singh, Xiheng Tom Wang, Haojun Shi, Jason Eisner
OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectories via Streaming Structure-Aware Optimal Transport
by Babak Barazandeh, Connor Swanson, Chinmay Kulkarni, Nikhil Mungel