expert mixture — 3 Technical Articles

Dec 23, 2025 · Artificial Intelligence

How H3M‑SSMoEs Combines Hypergraph Multimodal Learning and LLM Reasoning to Predict Stock Direction

The paper introduces H3M‑SSMoEs, a framework that integrates a multi‑context hypergraph for fine‑grained spatio‑temporal dynamics with a frozen Llama‑3.2‑1B LLM adapter, and a style‑structured expert mixture to jointly model stock relationships, multimodal semantics, and market regimes, achieving superior accuracy and investment returns on DJIA, NASDAQ‑100, and S&P‑100 benchmarks.

HypergraphLLMMultimodal Learning

0 likes · 14 min read

How H3M‑SSMoEs Combines Hypergraph Multimodal Learning and LLM Reasoning to Predict Stock Direction

Bighead's Algorithm Notes

Oct 25, 2025 · Artificial Intelligence

Time Series Paper Digest: Extreme Event Prediction, Multimodal Fusion & Anomaly Detection

This article summarizes four recent arXiv papers on time‑series forecasting, covering a hierarchical knowledge‑distillation framework for extreme events, a graph‑enhanced multimodal fusion network, an interpretable unsupervised anomaly detector, and an adaptive masking loss that improves prediction accuracy.

adaptive maskinganomaly detectionexpert mixture

0 likes · 10 min read

Time Series Paper Digest: Extreme Event Prediction, Multimodal Fusion & Anomaly Detection

Bighead's Algorithm Notes

Sep 14, 2025 · Artificial Intelligence

How MM‑DREX Uses Multimodal LLMs for Dynamic Expert Routing in Financial Trading

The article reviews the MM‑DREX framework, which tackles the non‑stationarity of financial markets by modeling trading as a POMDP, employing a vision‑language model‑driven dynamic router to allocate four heterogeneous experts, and demonstrates superior returns, Sharpe ratios, and drawdown control across stocks, futures, and crypto compared with 15 strong baselines.

Dynamic RoutingLLMPOMDP

0 likes · 13 min read

How MM‑DREX Uses Multimodal LLMs for Dynamic Expert Routing in Financial Trading