AINewsnow

Not all Negation Cues are Equal: Affixal Negations Yield Better Negation Understanding

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.13685v1 Announce Type: new Abstract: Negation remains a longstanding challenge for both language models (LMs) and large language models (LLMs). Prior work mainly focuses on a small set of high-frequency single-word negation cues, such as not and never, with limited exploration of broader…

Read the full story at arXiv cs.CL ↗

Timeline · 1 report

  1. 2026-09-15 04:00 · arXiv cs.CL
    Not all Negation Cues are Equal: Affixal Negations Yield Better Negation Understanding

More stories

  1. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI
  2. Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
  3. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  4. Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
  5. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  6. Introducing Astra for Law — OpenAI News
  7. Novo Nordisk Will Use Anthropic’s Claude for Drug Research — Wall Street Journal Technology
  8. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology

Get the daily brief of stories like this at 6:30 every morning →