- Sheaf Neural Networks and biomedical applications
Aneeqa Mehrab, Jan Willem Van Looy, Pietro Demurtas, Stefano Iotti, Emil Malucelli · Jan 29, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- RedSage: A Cybersecurity Generalist LLM
Naufal Suryanto, Muzammal Naseer, Pengfei Li, Syed Talal Wasim, Jinhui Yi · Jan 29, 2026 · Citations: 0
- From Generative Modeling to Clinical Classification: A GPT-Based Architecture for EHR Notes
Fariba Afrin Irany, Sampson Akwafuo · Jan 29, 2026 · Citations: 0
- Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
Hongyi Zhou, Jin Zhu, Kai Ye, Ying Yang, Erhan Xu · Jan 29, 2026 · Citations: 0
Yet, their ability to produce highly human-like text raises serious concerns about misinformation and academic integrity, making it an urgent need for reliable algorithms to detect LLM-generated content.
- WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents
Yao Zhang, Shijie Tang, Zeyu Li, Zhen Han, Volker Tresp · Jan 29, 2026 · Citations: 0
- MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts
Evandro S. Ortigossa, Guy Lutsker, Eran Segal · Jan 29, 2026 · Citations: 0
- Embodied Task Planning via Graph-Informed Action Generation with Large Language Model
Xiang Li, Ning Yan, Masood Mortazavi · Jan 29, 2026 · Citations: 0
Long Horizon
We propose GiG, a novel planning framework that structures embodied agents' memory using a Graph-in-Graph architecture.
- Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
Mihir Panchal, Deeksha Varshney, Mamta, Asif Ekbal · Jan 29, 2026 · Citations: 0
We evaluate our framework on 10 Indian languages using the MMLU benchmark and find that it significantly improves over SOTA interpretability methods, especially for morphologically rich, low resource languages.
- Temporal Sepsis Modeling: a Fully Interpretable Relational Way
Vincent Lemaire, Nédra Meloulli, Pierre Jaquet · Jan 29, 2026 · Citations: 0
Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
- FBS: Modeling Native Parallel Reading inside a Transformer
Tongxi Wang · Jan 29, 2026 · Citations: 0
Existing acceleration methods largely patch this pipeline and miss core human-reading ingredients: content-adaptive foresight, chunk-structure-aware compute allocation, and train-test consistency for preview/skimming.
- MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
Yaorui Shi, Shugui Liu, Yu Yang, Wenyu Mao, Yuxin Chen · Jan 29, 2026 · Citations: 0
- CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding
Jiahao Huo, Yu Huang, Yibo Yan, Ye Pan, Kening Zheng · Jan 29, 2026 · Citations: 0
Our method enables efficient VDR tasks using only dozens of visual tokens, achieving a 30-155x reduction in token count while maintaining highly competitive performance across various backbones and benchmarks.
- EnsembleLink: Accurate Record Linkage Without Training Data
Noah Dasanaike · Jan 29, 2026 · Citations: 0
Tool Use
On benchmarks spanning city names, person names, organizations, multilingual political parties, and bibliographic records, EnsembleLink matches or exceeds methods requiring extensive labeling.