All Articles
18346 articles total
Show HN: BlitzGraph – Supabase for graphs, built for LLM agents
BlitzGraph is introduced as a graph database alternative to Supabase specifically designed for LLM agents.
Temporal Preference Optimization for Unsupervised Retrieval
TPOUR is a new unsupervised retrieval method that uses Temporal Preference Optimization to better handle temporal relevance in document retrieval.
FacProcessTwin: An LLM-Based System for Process Twin Development
FacProcessTwin leverages LLMs to automate the creation of process twins for manufacturing, reducing development time significantly.
Handling Feature Heterogeneity with Learnable Graph Patches
This research proposes learnable graph patches to address feature heterogeneity in graph foundation models, improving transferability across different datasets.
ASTEROID: A Spatiotemporal Information Transformer for Forecasting Multi-Step Time Series of Molecular Dynamics
ASTEROID is a spatiotemporal information transformer designed to predict multi-step atomic coordinates in molecular dynamics simulations, reducing computational costs.
See First, Answer Later: Visual Evidence Pre-Alignment via Sufficiency-Driven RL
Visual Evidence Pre-Alignment (VEPA) is a new training stage for MLLMs to improve visual grounding using sufficiency-driven RL via GRPO.
SuCo: Sufficiency-guided Continuous Adaptive Reasoning
SuCo is a training framework that implements continuous adaptive reasoning to reduce redundant Chain-of-Thought tokens in Large Reasoning Models.
SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology
SegTME-UNI2 is a foundation model-based framework for multiclass cell segmentation and tumor microenvironment characterization in histopathology.
Confusion-Aware Transfer Teacher Curriculum Learning Framework: Disentangling Scoring and Pacing Effects
Research on the Transfer Teacher framework explores confusion-aware difficulty scoring in curriculum learning, finding benefits primarily in data-efficient regimes.
Midjourney Medical
Discussion regarding Midjourney's application in the medical field.
Midjourney Ultrasonic CT Scanner
Exploration of using Midjourney for ultrasonic CT scanning visualization or conceptualization.
How Madrid built its metro cheaply
A look at the cost-effective engineering strategies used to build the Madrid metro system.
Brad Feld – Does the Rule of 40 Work for Hardware?
Brad Feld discusses whether the 'Rule of 40' financial metric is applicable to hardware companies.
SkillMoV: Mixture-of-View Routing with Prototype-Conditioned Gating for Unified Multi-View Proficiency Estimation
Introduces SkillMoV, a parameter-efficient framework for multi-view proficiency estimation from synchronized video using a Mixture-of-View Projector.
Divide, Deliberate, Decide: A Multi-Agent Framework for Fine-Grained Egocentric Action Recognition
Proposes a zero-shot multi-agent framework utilizing heterogeneous VLM specialists and a Borda count for fine-grained egocentric action recognition.
Bounding Box Label Propagation for Re-Annotation of Document Layout Analysis Datasets
Presents Bounding Box Label Propagation (BBLP), a pseudo-labelling framework to reduce manual re-annotation efforts in document layout analysis.
SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches
Introduces SketchXplain, a system that generates intuitive sketch-based visual explanations for image classifiers to improve XAI interpretability.
A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction
Develops a risk decomposition framework to theoretically predict the performance of LLM fine-tuning before it occurs.
TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins
Presents TuneAhead, a lightweight framework that predicts fine-tuning performance for LLMs using meta-feature vectors and SHAP-based diagnostics.
How to turn off AI in your Google Docs
A guide on how to disable Gemini AI pop-ups and features within Google Docs.