Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation
by Jinting Wang, Chenxing Li, Dong Yu, Li Liu
Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction
by Baoyang Jiang, Fengchun Zhang, Leyuan Wang, Haotian Li, Yida Wang, Zhe Ji, Jinshan Lai, Xi Ren, Danyang Li, Zheng Yang, Jianwei Hu, Qiang Ma
Autonomous Research for Open-Ended Problems: A Case Study on Telecom Ticket Retrieval
by Junghyun Min, Huseyin Uzunalioglu, Mohamed Trabelsi
MAxBench: A Multinomial Concept Recovery Benchmark
by Divya Appapogu, Freya Behrens, Yonatan Belinkov, Aaron Mueller
Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering
by Kérian Fiter, Adil Lagrou, Franck Dervault, Bentley Oakes
Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication
by Sayantan Kumar, Nicolas Grimaldi, Jack Cummins, Jeremy C. Weiss
CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models
by Blake Olson, Yuhang Song, Emmett McQuinn, Yuan Shangguan
General Quantification of Covariate and Concept Shifts
by Hongbo Chen, Li Charlie Xia
Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data
by Atindra Jha, Margaret Li, Jure Leskovec, Percy Liang, Luke Zettlemoyer
Can Edge-Deployable Vision-Language Models Identify Species?
by William Zhou, Mayukha Siripuram, Xiao Yan, Ziqi Liu, Yi Ding