#Machine Learning Research

Articles (5)

• 🇺🇸 $S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models — 09/04/2026 [USA]

  arXiv:2604.06260v1 Announce Type: cross Abstract: Test-time scaling investigates whether a fixed diffusion language model (DLM) can generate better outputs when given more inference compute, without ...

  Related: #Artificial Intelligence, #Algorithmic Efficiency
• 🇺🇸 Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis — 25/02/2026 [USA]

  arXiv:2602.20207v1 Announce Type: cross Abstract: Knowledge editing in Large Language Models (LLMs) aims to update the model's prediction for a specific query to a desired target while preserving its...

  Related: #Knowledge Editing, #Large Language Models
• 🇺🇸 Probing Graph Neural Network Activation Patterns Through Graph Topology — 25/02/2026 [USA]

  arXiv:2602.21092v1 Announce Type: cross Abstract: Curvature notions on graphs provide a theoretical description of graph topology, highlighting bottlenecks and denser connected regions. Artifacts of ...

  Related: #Graph Neural Networks, #Graph Topology
• 🇺🇸 In-Context Learning in Linear vs. Quadratic Attention Models: An Empirical Study on Regression Tasks — 20/02/2026 [USA]

  arXiv:2602.17171v1 Announce Type: cross Abstract: Recent work has demonstrated that transformers and linear attention models can perform in-context learning (ICL) on simple function classes, such as ...

  Related: #In‑Context Learning (ICL), #Linear vs. Quadratic Attention, #Regression Tasks, #Model Depth
• 🇺🇸 Variation is the Key: A Variation-Based Framework for LLM-Generated Text Detection — 17/02/2026 [USA]

  arXiv:2602.13226v1 Announce Type: new Abstract: Detecting text generated by large language models (LLMs) is crucial but challenging. Existing detectors depend on impractical assumptions, such as whit...

  Related: #Artificial Intelligence, #Natural Language Processing, #Security & Privacy