·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Treasury threatens sanctions after White House claims Moonshot distilled Anthropic’s Fable1h◆How OpenAI’s human mistake led to the AI-powered hack on Hugging Face3h◆Travis Kalanick’s robotics company raises $1.7B, led by a16z3h◆Yope raises $12.3M to build a private social network without algorithms or ads3h◆Monday.com lays off hundreds to focus on AI4h◆Here’s what Samsung’s smart glasses actually look like5h◆Arcee, a US open source AI lab, says Chinese models are not inherently dangerous5h◆Substack’s new tool tells you who’s been writing their newsletters with AI5h◆OpenAI’s AI spending spree has ballooned to $750B5h◆AMD commits up to $5 billion to Anthropic7h◆Menlo Ventures’ Matt Murphy explains what AI startups founders must do differently8h◆The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari8h◆Building AI infrastructure with the Effingham County community9h◆3 Google updates from Galaxy Unpacked 20269h◆Passionfroot raises $15M to expand its B2B creator marketplace to the US9h◆How news organizations are using AI to advance their vital missions9h◆Advancing the next era of national science10h◆Meta made its own AI detection system. It should have just used Google’s11h◆Utility companies promise to spare us from AI’s energy bill12h◆Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era12h◆Treasury threatens sanctions after White House claims Moonshot distilled Anthropic’s Fable1h◆How OpenAI’s human mistake led to the AI-powered hack on Hugging Face3h◆Travis Kalanick’s robotics company raises $1.7B, led by a16z3h◆Yope raises $12.3M to build a private social network without algorithms or ads3h◆Monday.com lays off hundreds to focus on AI4h◆Here’s what Samsung’s smart glasses actually look like5h◆Arcee, a US open source AI lab, says Chinese models are not inherently dangerous5h◆Substack’s new tool tells you who’s been writing their newsletters with AI5h◆OpenAI’s AI spending spree has ballooned to $750B5h◆AMD commits up to $5 billion to Anthropic7h◆Menlo Ventures’ Matt Murphy explains what AI startups founders must do differently8h◆The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari8h◆Building AI infrastructure with the Effingham County community9h◆3 Google updates from Galaxy Unpacked 20269h◆Passionfroot raises $15M to expand its B2B creator marketplace to the US9h◆How news organizations are using AI to advance their vital missions9h◆Advancing the next era of national science10h◆Meta made its own AI detection system. It should have just used Google’s11h◆Utility companies promise to spare us from AI’s energy bill12h◆Glow emerges from stealth at $1.2B valuation to challenge endpoint security in the AI era12h◆
News/Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards
arxiv
PublishedJuly 22, 2026 at 4:00 AM
—neutral

Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.19219v1 Announce Type: cross Abstract: Large language models (LLMs) have been widely applied to automated essay scoring (AES) and automated feedback generation (AFG). However, existing studies rely primarily on prompt engineering or supervised fine-tuning, while systematic research on rei

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews