AINewsnow

FinDialogLens: Event Extraction over Multi-Party Dialogue for Missed-Trade Identification in Financial Chatrooms

arXiv:2610.02455v1 Announce Type: new Abstract: Multi-party financial chatrooms are vital for sales-and-trading professionals, but their complexity makes manual recovery of missed trades infeasible: each Request for Quote (RFQ) is an event whose final price and trade outcome appear many messages af…

Read the full story at arXiv cs.CL ↗

Timeline · 1 report

  1. 2026-10-05 04:00 · arXiv cs.CL
    FinDialogLens: Event Extraction over Multi-Party Dialogue for Missed-Trade Identification in Financial Chatrooms

More stories

  1. NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI — NVIDIA Blog
  2. Trump’s big AI move: ‘Super Intelligence Force’ launched, Jay Clayton named AI czar — Mint AI
  3. A model guide for the GPT-6 family — OpenAI News
  4. An OpenAI safety employee has quit and is sounding the alarm — The Verge AI
  5. Introducing Oscilloscope Diffusion — r/comfyui
  6. OpenAI fires 3 AI safety researchers for allegedly sharing confidential company information — Mint AI
  7. Apple says it's tightening macOS Full Disk Access' controls due to new risks from AI agents — TechCrunch AI
  8. Strata is seriously impressive, running Qwen 3.8 Flash Next on hermes at 512k context. — r/LocalLLM

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