Tagged articles

semantic graph

3 articles · Page 1 of 1

Aug 19, 2026 · Artificial Intelligence

Can LLMs Uncover Real Economic Links to Boost Cross‑Stock Prediction?

The paper proposes a two‑stage Retrieve‑then‑Reason framework that first builds a sparse candidate graph from 10‑K text embeddings and then uses a large language model to filter edges for true economic relationships, resulting in a higher‑Sharpe, lower‑drawdown cross‑stock trading signal on S&P 500 constituents.

LLMcross‑stock predictionfinancial networks

0 likes · 17 min read

Can LLMs Uncover Real Economic Links to Boost Cross‑Stock Prediction?

AI Architecture Path

Aug 9, 2026 · Artificial Intelligence

How Semantica Turns Black‑Box RAG into Auditable AI Decisions for Regulated Industries

The article analyzes the compliance shortcomings of traditional Retrieval‑Augmented Generation, introduces the open‑source Semantica framework (v0.6.0) that combines RDF triples with property graphs, and demonstrates how its context graph, W3C PROV‑O provenance, deterministic reasoning and multi‑agent sharing enable fully auditable AI decision pipelines for high‑regulation sectors.

AI GovernanceAuditPython

0 likes · 18 min read

How Semantica Turns Black‑Box RAG into Auditable AI Decisions for Regulated Industries

Xiaohongshu Tech REDtech

Jan 16, 2025 · Artificial Intelligence

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

The authors present a semantic‑graph‑enhanced uncertainty modeling framework that captures token, sentence, and paragraph dependencies, propagates uncertainty through entity relations and contradiction probabilities, and achieves roughly a 20 % gain in paragraph‑level hallucination detection on WikiBio and NoteSum compared with existing uncertainty‑based baselines.

Hallucination DetectionNatural Language ProcessingSentence-level Modeling

0 likes · 13 min read

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection