Research radar
arXiv preprints, filtered for developer impact.
Concise summaries of new AI papers, ranked for how likely they are to change how production systems are built. arXiv collection remains rate-limited.
Papers tracked
180
1 arXiv sources
Top radar
86
http://arxiv.org/abs/2605.30352v1
Published 24h
0
by paper date
Rate limit
1/3s
arXiv policy
| Paper | Authors | arXiv ID | Categories | Published | Code | Radar | Summary |
|---|---|---|---|---|---|---|---|
| It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt | Stuart Bladon, Brinnae Bent | http://arxiv.org/abs/2605.23825v1 | cs.LG, cs.AI | May 22, 2026 | None | RDR70 | It has generally been assumed that geopolitical bias in language models originates from the t... |
| Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples | Yufang Dai, Shihua Luo, Wendy Lou | http://arxiv.org/abs/2605.28762v1 | math.ST, stat.AP | May 27, 2026 | None | RDR69 | Integrating probability and nonprobability survey samples is an important problem in modern s... |
| Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning | Xianqiang Gao, Qizhi Chen, Delin Qu | http://arxiv.org/abs/2605.27318v1 | cs.CV | May 26, 2026 | None | RDR69 | Video spatial reasoning requires accumulating viewpoint-dependent evidence over time while re... |
| Geo-Align: Video Generation Alignment via Metric Geometry Reward | Zizun Li, Haoyu Guo, Runzhe Teng | http://arxiv.org/abs/2605.23903v1 | cs.CV | May 22, 2026 | None | RDR69 | Camera-controlled video generation has achieved remarkable progress in recent years. However,... |
| Learning a Particle Dynamics Model with Real-world Videos | Chanho Kim, Suhas V. Sumukh, Li Fuxin | http://arxiv.org/abs/2605.23845v1 | cs.CV | May 22, 2026 | None | RDR69 | Data-driven learning approaches for physics simulation, sometimes referred to as world models... |
| DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders | Tianhang Wang, Yitong Chen, Wei Song | http://arxiv.org/abs/2605.22777v1 | cs.CV | May 21, 2026 | None | RDR69 | Representation Autoencoders (RAEs) leverage frozen vision foundation models (VFMs) as tokeniz... |
| Synthetic Data Alone is Enough? Rethinking Data Scarcity in Pediatric Rare Disease Recognition | Ganlin Feng, Yuxi Long, Erin Lou | http://arxiv.org/abs/2605.22767v1 | cs.CV | May 21, 2026 | None | RDR69 | Children with rare genetic diseases often exhibit distinctive facial phenotypes, yet developi... |
| From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain | Yuval Golbari, Navve Wasserman, Matias Cosarinsky | http://arxiv.org/abs/2605.23895v1 | cs.CV | May 22, 2026 | None | RDR68 | Identifying which brain regions represent a visual concept in the human brain is a central ch... |
| OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration | Xinchen Zhang, Bowei Liu, Jiale Liu | http://arxiv.org/abs/2605.28805v1 | cs.CL, cs.AI | May 27, 2026 | None | RDR67 | Visual outcomes are increasingly central to multimodal large language models, making reliable... |
| Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization | Audrey Chan, Aaron Labbé, Jacob Lavoie | http://arxiv.org/abs/2605.28810v1 | cs.LG, cs.IR | May 27, 2026 | None | RDR65 | Functional music applications, from consumer focus and sleep aids to clinical interventions,... |