13 results for "structured data"
I built a dataset of 120+ AI coding tools rated by free tier longevity, here's what the data actually shows (Completely free ) [P] [R]
background: i kept hitting paywalls i didn't see coming. tool says free, you integrate it into your workflow, three days later you're locked out. so i started keeping structured notes, then turned it …
An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness
Artificial Intelligence and Machine Learning (AI/ML) models used in clinical settings are increasingly deployed to support clinical decision-making. However, when training data become stale due to cha…
A Systematic Approach for Large Language Models Debugging
Large language models (LLMs) have become central to modern AI workflows, powering applications from open-ended text generation to complex agent-based reasoning. However, debugging these models remains…
Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Large language model (LLM) agents are increasingly tasked with complex real-world analysis (e.g., in financial forecasting, scientific discovery), yet their reasoning suffers from stochastic instabili…
Expert Evaluation of LLM's Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task
Large language models (LLMs) have shown strong performance on legal benchmarks, including multiple-choice components of bar exams. However, their capacity for generating open-ended legal reasoning in …
Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs
Medical and public health experts must make real-time resource decisions, such as expanding hospital bed capacity, based on projected hospitalization trends during large-scale healthcare disruptions (…
Explanation Quality Assessment as Ranking with Listwise Rewards
We reformulate explanation quality assessment as a ranking problem rather than a generation problem. Instead of optimizing models to produce a single "best" explanation token-by-token, we train reward…
STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator
The increasing reliance on Large Language Models (LLMs) across diverse sectors highlights the need for robust domain-specific and language-specific evaluation datasets; however, the collection of such…
Towards Lawful Autonomous Driving: Deriving Scenario-Aware Driving Requirements from Traffic Laws and Regulations
Driving in compliance with traffic laws and regulations is a basic requirement for human drivers, yet autonomous vehicles (AVs) can violate these requirements in diverse real-world scenarios. To encod…
Microsoft TRELLIS.2: An Open-Source, 4B-Parameter, Image-to-3D Model [pdf]
Recent advancements in 3D generative modeling have significantly improved the generation realism, yet the field is still hampered by existing representations, which struggle to capture assets with com…
kreuzcrawl, an open source Rust crawling engine with 11 language bindings
kreuzcrawl is a high-performance web crawling engine. It was designed to reliably extract structured data, operating natively across multiple languages without enforcing a specific runtime. See here: …
kreuzcrawl, an open source crawling engine with Typescript bindings
kreuzcrawl is a high-performance web crawling engine. It was designed to reliably extract structured data, operating natively across multiple languages without enforcing a specific runtime. More detai…
kreuzcrawl, an open source Rust-core crawling engine
kreuzcrawl is a high-performance web crawling engine. It was designed to reliably extract structured data, operating natively across multiple languages without enforcing a specific runtime. More detai…