Machine Heart
Machine Heart
Apr 25, 2026 · Artificial Intelligence

Enabling Unseen Language QA Without Training LLMs: XBridge’s Plug‑in Multilingual Extension

XBridge combines a pre‑trained English‑centric LLM with an external multilingual NMT model via optimal‑transport alignment and a three‑stage training scheme, allowing zero‑training of the LLM while achieving high‑quality question answering and generation for low‑resource and unseen languages, narrowing the performance gap with high‑resource languages.

LLMNMTXBridge
0 likes · 8 min read
Enabling Unseen Language QA Without Training LLMs: XBridge’s Plug‑in Multilingual Extension
HyperAI Super Neural
HyperAI Super Neural
Sep 15, 2025 · Artificial Intelligence

scSiameseClu Sets New SOTA on Unsupervised Single‑Cell Clustering Across 7 Datasets

The paper introduces scSiameseClu, a Siamese clustering framework that combines dual augmentation, siamese fusion, and optimal‑transport clustering to overcome representation collapse in scRNA‑seq data, and demonstrates state‑of‑the‑art performance on seven diverse single‑cell datasets and downstream annotation tasks.

Siamese networkclusteringgraph neural network
0 likes · 11 min read
scSiameseClu Sets New SOTA on Unsupervised Single‑Cell Clustering Across 7 Datasets
Didi Tech
Didi Tech
Jul 24, 2025 · Artificial Intelligence

How to Estimate Long‑Term Heterogeneous Dose‑Response Curves with Unobserved Confounding

This article presents a data‑fusion framework that combines long‑term observational data and short‑term randomized experiments to identify and estimate long‑term heterogeneous dose‑response curves under continuous treatments and unobserved confounders, using reweighting, optimal transport, and balanced representation learning.

causal inferencedose-responsemachine learning
0 likes · 19 min read
How to Estimate Long‑Term Heterogeneous Dose‑Response Curves with Unobserved Confounding