🧠 LLMs

Spark, AI, Elastic, BM25, Data Science, Algorithms, Vectors, Embeddings

Show HN: Evaluating LLMs on creative writing via reader usage, not benchmarks
narrator.sh·19h·
Discuss: Hacker News
A personal health large language model for sleep and fitness coaching
nature.com·15h·
Discuss: Hacker News
Yet another algorithmic bias: A Discursive Analysis of Large Language Models Reinforcing Dominant Discourses on Gender and Race
arxiv.org·8h
LongIns: A Challenging Long-context Instruction-based Exam for LLMs
arxiv.org·1d
Leveraging Large Language Models for Rare Disease Named Entity Recognition
arxiv.org·1d
Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning
arxiv.org·8h
STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images
arxiv.org·8h
Next-Generation Techniques for Parameter Reduction for BMP Multiobjective Optimization in Watershed Planning
sciencedirect.com·13m
SABER: Switchable and Balanced Training for Efficient LLM Reasoning
arxiv.org·8h
The Knowledge-Reasoning Dissociation: Fundamental Limitations of LLMs in Clinical Natural Language Inference
arxiv.org·8h
Adaptive Hierarchical Clustering via Dynamic Spectral Embedding Optimization
dev.to·3h·
Discuss: DEV
Feature Impact Analysis on Top Long-Jump Performances with Quantile Random Forest and Explainable AI Techniques
arxiv.org·1d
Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
arxiv.org·1d
LaajMeter: A Framework for LaaJ Evaluation
arxiv.org·8h
CarAT: Carbon Atom Tracing across Industrial Chemical Value Chains via Chemistry Language Models
arxiv.org·8h
MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
arxiv.org·2d
My Journey to AWS Certified AI Practitioner
dev.to·1d·
Discuss: DEV
Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding
arxiv.org·1d
The Best Platforms for Evaluating AI Models in 2025
dev.to·1d·
Discuss: DEV
Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The BC Cancer Registry
arxiv.org·8h