BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:COLM 2026 Calendar
BEGIN:VEVENT
UID:colm-2026-deadline-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260327T115900Z
DTEND:20260327T125900Z
SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] 
 COLM 2026 - Mandatory abstract deadline
DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt
 ps://colm.cc/\nSource URL: https://colm.cc/Conferences/2026/CallForPapers
 \nLocation: San Francisco\, California\, USA\nTopics: Natural Language Pr
 ocessing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, 
 Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nCo
 nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Third annual e
 dition\, Hilton Union Square. Ongoing conference with new-paper submissio
 ns closed\; October 9 workshops included. Size is an editorial estimate.\
 nScope: Language-model foundations and methods: training and architecture
 \, data and scaling\, inference and generation\, evaluation\, reasoning\,
  retrieval augmentation\, and tool-using language agents. Alignment\, int
 erpretability\, and multimodal language models are meaningful extensions.
  A central language-model contribution distinguishes the conference from 
 generic AI applications.\nAdditional topics: Learning Theory & Statistica
 l Foundations\, Explainability & Interpretability\, Robustness & Safety\,
  Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sourc
 es (2026): https://colm.cc/Conferences/2026/CallForPapers\nScope last che
 cked: 2026-10-07
URL:https://colm.cc/Conferences/2026/CallForPapers
END:VEVENT
BEGIN:VEVENT
UID:colm-2026-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260401T115900Z
DTEND:20260401T125900Z
SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] 
 COLM 2026 - Paper submission deadline
DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt
 ps://colm.cc/\nSource URL: https://colm.cc/Conferences/2026/CallForPapers
 \nLocation: San Francisco\, California\, USA\nTopics: Natural Language Pr
 ocessing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, 
 Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nCo
 nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Third annual e
 dition\, Hilton Union Square. Ongoing conference with new-paper submissio
 ns closed\; October 9 workshops included. Size is an editorial estimate.\
 nScope: Language-model foundations and methods: training and architecture
 \, data and scaling\, inference and generation\, evaluation\, reasoning\,
  retrieval augmentation\, and tool-using language agents. Alignment\, int
 erpretability\, and multimodal language models are meaningful extensions.
  A central language-model contribution distinguishes the conference from 
 generic AI applications.\nAdditional topics: Learning Theory & Statistica
 l Foundations\, Explainability & Interpretability\, Robustness & Safety\,
  Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sourc
 es (2026): https://colm.cc/Conferences/2026/CallForPapers\nScope last che
 cked: 2026-10-07
URL:https://colm.cc/Conferences/2026/CallForPapers
END:VEVENT
BEGIN:VEVENT
UID:colm-2026-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20261006
DTEND;VALUE=DATE:20261010
SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] 
 COLM 2026 - Conference
DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt
 ps://colm.cc/\nSource URL: https://colm.cc/\nLocation: San Francisco\, Ca
 lifornia\, USA\nTopics: Natural Language Processing & LLMs\, Deep Represe
 ntation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search
 \nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast chec
 ked date: 2026-10-07\nNotes: Third annual edition\, Hilton Union Square. 
 Ongoing conference with new-paper submissions closed\; October 9 workshop
 s included. Size is an editorial estimate.\nScope: Language-model foundat
 ions and methods: training and architecture\, data and scaling\, inferenc
 e and generation\, evaluation\, reasoning\, retrieval augmentation\, and 
 tool-using language agents. Alignment\, interpretability\, and multimodal
  language models are meaningful extensions. A central language-model cont
 ribution distinguishes the conference from generic AI applications.\nAddi
 tional topics: Learning Theory & Statistical Foundations\, Explainability
  & Interpretability\, Robustness & Safety\, Fairness & Responsible AI\, M
 ultimedia Learning & Retrieval\nScope sources (2026): https://colm.cc/Con
 ferences/2026/CallForPapers\nScope last checked: 2026-10-07
URL:https://colm.cc/
LOCATION:San Francisco\, California\, USA
END:VEVENT
END:VCALENDAR