Tagged articles

multilingual LLM

5 articles · Page 1 of 1

Machine Learning Algorithms & Natural Language Processing

May 26, 2026 · Artificial Intelligence

Teaching 7,000 Languages: How LASA’s Semantic Bottleneck Enables Multilingual LLM Safety

The paper reveals a language‑agnostic "semantic bottleneck" layer inside large language models and introduces LASA, a three‑step framework that locates this layer, extracts safety signals with a lightweight interpreter, and injects them via KTO loss, dramatically improving multilingual safety without per‑language data collection.

AI safetyLASALLM safety

0 likes · 8 min read

Teaching 7,000 Languages: How LASA’s Semantic Bottleneck Enables Multilingual LLM Safety

Alibaba International Intelligent Technology

May 15, 2026 · Artificial Intelligence

LiRA: A Linguistic Robust Anchoring Framework for Low-Resource Cross-Lingual LLM Retrieval

LiRA introduces a dual‑module framework—Arca for anchored representation composition and LaSR for language‑coupled semantic reasoning—backed by theoretical guarantees and extensive experiments that markedly improve multilingual retrieval, similarity, and reasoning performance on low‑resource languages, including a new LazRetrieval benchmark.

cross-lingual retrievaldeep learninginformation retrieval

0 likes · 28 min read

LiRA: A Linguistic Robust Anchoring Framework for Low-Resource Cross-Lingual LLM Retrieval

Alibaba International Intelligent Technology

Nov 21, 2025 · Artificial Intelligence

How Large‑Model AI Transforms Multilingual E‑Commerce Search

Leveraging multilingual large‑language models such as Qwen, the authors reconstruct query understanding, product understanding, and relevance ranking for Alibaba’s international e‑commerce platforms, build the ME‑LLM base model with domain‑specific pre‑training, and demonstrate significant gains in semantic relevance, query rewriting, and downstream metrics like GMV.

ME-LLMQuery RewritingRL from search feedback

0 likes · 10 min read

How Large‑Model AI Transforms Multilingual E‑Commerce Search

DataFunTalk

Jul 18, 2025 · Artificial Intelligence

How Alibaba Tackles Low-Resource Language Data for Multilingual LLMs

Alibaba International’s senior data science expert explains a systematic five‑strategy solution—data acquisition, augmentation, quality optimization, engineering pipeline, and evaluation loop—to overcome data scarcity, high annotation cost, and processing challenges for low‑resource languages in multilingual large language models.

AIData EngineeringModel Evaluation

0 likes · 13 min read

How Alibaba Tackles Low-Resource Language Data for Multilingual LLMs

DataFunSummit

Jul 13, 2025 · Artificial Intelligence

How Alibaba Tackles Low-Resource Language Data for Multilingual LLMs

In this interview, Alibaba International’s senior data‑science expert Li Haijun explains the challenges of low‑resource languages for multilingual large models and details a five‑step data‑collection, augmentation, quality‑optimization, engineering, and evaluation framework that powers their cross‑border e‑commerce AI applications.

AILarge Language Modelslow-resource languages

0 likes · 12 min read