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Natural Language Processing

Natural Language Processing news and analysis on Web Pulse: 3944 curated articles tracking the latest Natural Language Processing developments, tools, and research, updated continuously from vetted sources.

3944 articles page 17 of 198 0 sources 30 min sync cycle updated 2026-08-12

// latest articles 3944 indexed

12:00
2026-08-12
research.ibm.com
large-language-models · ↑ pos

DocLang: a markup language for LLMs

IBM Research introduced DocLang, a constrained XML sub-language designed to make document structure more interpretable for large language models, complementing its open-source Docling parser. Docling, IBM's most successf…

09:37
2026-08-12
tooldirectory.ai
artificial-intelligence · · neu

Futuro AI

Futuro Corporation's Futuro AI builds custom AI voice agents that answer business calls 24/7, trained on a company's own pricing, policies, FAQs, and brand voice via its MasterMind knowledge engine, which ingests up to t…

04:00
2026-08-12
arxiv.org
large-language-models · · neu

How Robust Are LLMs to Vietnamese Dialects?

Researchers introduced VialectBench, the first systematic benchmark for evaluating LLM robustness to Vietnamese dialects, containing 400 Standard Vietnamese instances and 2,400 human-written dialectal rewrites across six…

04:00
2026-08-12
arxiv.org
artificial-intelligence · · neu

Detecting Soft Skills in ML Engineering Roles CVs

A new arXiv study (2608.10046v1) analyzing 300 curated CVs of ML engineers, data scientists, and software engineers found that candidates disclose soft skills through narrative rather than keyword lists by a ratio of rou…

04:00
2026-08-12
arxiv.org
artificial-intelligence · ↑ pos

Self-evolving Agentic Customer Support System at LinkedIn

LinkedIn's self-evolving agentic customer support system, integrating retrieval-augmented generation with evolutionary auto-prompting, increased QA self-serve by 9.0 percentage points, cancellation self-serve by 4.8 poin…

02:59
2026-08-12
gladlabs.io
machine-learning · · neu

The Gap Nobody Names

Most RAG pipelines fail because they use symmetric embedding models for asymmetric query-document pairs, according to Zilliz and developer Mario Ottmann. The fix is to use asymmetric embeddings or APIs like Gemini's task…

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