OSINT or BULLSHINT? Exploring Open-Source Intelligence tweets about the Russo-Ukrainian War
arxiv.org·17h
🧠Large Language Models (LLMs)
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
arxiv.org·2d
🧠Large Language Models (LLMs)
A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks
arxiv.org·1d
🧠Large Language Models (LLMs)
Toward using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem
arxiv.org·2d
✨Model optimizations in LLMs
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
arxiv.org·17h
🧠Large Language Models (LLMs)
Futures with Digital Minds: Expert Forecasts in 2025
arxiv.org·2d
🧠Large Language Models (LLMs)
Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization
arxiv.org·2d
✨Model optimizations in LLMs
Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs
arxiv.org·5d
🧠Large Language Models (LLMs)
Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation
arxiv.org·1d
🔢Quantization of LLMs
Improved Robustness and Functional Localization in Topographic CNNs Through Weight Similarity
arxiv.org·2d
🔍Retrieval-augmented generation
Do LLMs produce texts with "human-like" lexical diversity?
arxiv.org·2d
🧠Large Language Models (LLMs)
Agentic large language models improve retrieval-based radiology question answering
arxiv.org·2d
🔍Retrieval-augmented generation
AI-Generated Algorithmic Virality
arxiv.org·1d
🔍Retrieval-augmented generation
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
arxiv.org·17h
🔍Retrieval-augmented generation
What’s New and Important in CUDA Toolkit 13.0
developer.nvidia.com·1d
📊AI Performance Profiling
AI-Generated Text is Non-Stationary: Detection via Temporal Tomography
arxiv.org·1d
🧠Large Language Models (LLMs)
Tractography-Guided Dual-Label Collaborative Learning for Multi-Modal Cranial Nerves Parcellation
arxiv.org·1d
🔢Quantization of LLMs
TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction
arxiv.org·2d
🧠Large Language Models (LLMs)
Test-time Prompt Intervention
arxiv.org·1d
💬Prompt optimizations for LLM serving
S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework
arxiv.org·1d
🔍Retrieval-augmented generation