BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:EMNLP 2026 Calendar
BEGIN:VEVENT
UID:emnlp-2026-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260526T115900Z
DTEND:20260526T125900Z
SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] 
 EMNLP 2026 - ARR paper submission deadline
DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La
 nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https://
 2026.emnlp.org/calls/main_conference_papers/\nLocation: Budapest\, Hungar
 y\nTopics: Natural Language Processing & LLMs\, Deep Representation Learn
 ing\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: XXL\n
 Submission type: Paper-based\nConfidence: confirmed\nLast checked date: 2
 026-10-07\nNotes: ARR fresh-paper submissions are closed. Commitment is o
 nly for reviewed papers and is not a new-paper route. Full conference win
 dow includes workshops. Size is an editorial estimate.\nScope: Empirical 
 methods for language modeling and NLP\, including generation\, informatio
 n extraction\, multilinguality\, dialogue\, retrieval\, and model evaluat
 ion. Interpretability\, bias\, and safety matter within language systems.
  Curated coverage emphasizes language methods and evidence rather than ev
 ery application listed in the CFP.\nAdditional topics: Explainability & I
 nterpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human
 -AI Interaction & Deployment\nScope sources (2026): https://2026.emnlp.or
 g/calls/main_conference_papers/\nScope last checked: 2026-10-07
URL:https://2026.emnlp.org/calls/main_conference_papers/
END:VEVENT
BEGIN:VEVENT
UID:emnlp-2026-deadline-commitment@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260803T115900Z
DTEND:20260803T125900Z
SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] 
 EMNLP 2026 - Commitment of ARR-reviewed papers
DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La
 nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https://
 2026.emnlp.org/calls/main_conference_papers/\nLocation: Budapest\, Hungar
 y\nTopics: Natural Language Processing & LLMs\, Deep Representation Learn
 ing\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: XXL\n
 Submission type: Paper-based\nConfidence: confirmed\nLast checked date: 2
 026-10-07\nNotes: ARR fresh-paper submissions are closed. Commitment is o
 nly for reviewed papers and is not a new-paper route. Full conference win
 dow includes workshops. Size is an editorial estimate.\nScope: Empirical 
 methods for language modeling and NLP\, including generation\, informatio
 n extraction\, multilinguality\, dialogue\, retrieval\, and model evaluat
 ion. Interpretability\, bias\, and safety matter within language systems.
  Curated coverage emphasizes language methods and evidence rather than ev
 ery application listed in the CFP.\nAdditional topics: Explainability & I
 nterpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human
 -AI Interaction & Deployment\nScope sources (2026): https://2026.emnlp.or
 g/calls/main_conference_papers/\nScope last checked: 2026-10-07
URL:https://2026.emnlp.org/calls/main_conference_papers/
END:VEVENT
BEGIN:VEVENT
UID:emnlp-2026-deadline-camera-ready@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260831T115900Z
DTEND:20260831T125900Z
SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] 
 EMNLP 2026 - Camera-ready deadline
DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La
 nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https://
 2026.emnlp.org/calls/main_conference_papers/\nLocation: Budapest\, Hungar
 y\nTopics: Natural Language Processing & LLMs\, Deep Representation Learn
 ing\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: XXL\n
 Submission type: Paper-based\nConfidence: confirmed\nLast checked date: 2
 026-10-07\nNotes: ARR fresh-paper submissions are closed. Commitment is o
 nly for reviewed papers and is not a new-paper route. Full conference win
 dow includes workshops. Size is an editorial estimate.\nScope: Empirical 
 methods for language modeling and NLP\, including generation\, informatio
 n extraction\, multilinguality\, dialogue\, retrieval\, and model evaluat
 ion. Interpretability\, bias\, and safety matter within language systems.
  Curated coverage emphasizes language methods and evidence rather than ev
 ery application listed in the CFP.\nAdditional topics: Explainability & I
 nterpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human
 -AI Interaction & Deployment\nScope sources (2026): https://2026.emnlp.or
 g/calls/main_conference_papers/\nScope last checked: 2026-10-07
URL:https://2026.emnlp.org/calls/main_conference_papers/
END:VEVENT
BEGIN:VEVENT
UID:emnlp-2026-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20261024
DTEND;VALUE=DATE:20261030
SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] 
 EMNLP 2026 - Conference
DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La
 nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https://
 2026.emnlp.org/\nLocation: Budapest\, Hungary\nTopics: Natural Language P
 rocessing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\,
  Information Retrieval & Search\nSize: XXL\nSubmission type: Paper-based\
 nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: ARR fresh-p
 aper submissions are closed. Commitment is only for reviewed papers and i
 s not a new-paper route. Full conference window includes workshops. Size 
 is an editorial estimate.\nScope: Empirical methods for language modeling
  and NLP\, including generation\, information extraction\, multilingualit
 y\, dialogue\, retrieval\, and model evaluation. Interpretability\, bias\
 , and safety matter within language systems. Curated coverage emphasizes 
 language methods and evidence rather than every application listed in the
  CFP.\nAdditional topics: Explainability & Interpretability\, Fairness & 
 Responsible AI\, Robustness & Safety\, Human-AI Interaction & Deployment\
 nScope sources (2026): https://2026.emnlp.org/calls/main_conference_paper
 s/\nScope last checked: 2026-10-07
URL:https://2026.emnlp.org/
LOCATION:Budapest\, Hungary
END:VEVENT
END:VCALENDAR