NOV62026

AACL-IJCNLP 2026 — The 5th Conference of the Asia-Pacific Chapter of the ACL and the 15th International Joint Conference on Natural Language Processing

by Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)

conferenceHybridUpcomingStarts in 3 months

Asia-Pacific's flagship NLP research conference, with dedicated tracks for LLM agents, language modeling and efficient methods.

November 6–10, 2026·Hengqin, China·Paid
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THE DAILY BRIEF
NOV62026
AACL-IJCNLP 2026 — The 5th Conference of the Asia-Pacific Chapter of the ACL and the 15th International Joint Conference on Natural Language Processing

by Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)

conferenceHybridupcoming

Asia-Pacific's flagship NLP research conference, with dedicated tracks for LLM agents, language modeling and efficient methods.

About This Event

AACL-IJCNLP 2026 is the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, held jointly with the 15th International Joint Conference on Natural Language Processing in Hengqin, China from 6-10 November 2026 as a hybrid conference. It is the Asia-Pacific region's flagship *ACL venue, reviewed through ACL Rolling Review rather than a conference-specific review cycle. Its call for papers spans 28 research areas that map directly onto what enterprise NLP teams are shipping: Language Modeling, LLM Agents, Efficient Methods for NLP, NLP and Code Models, Information Retrieval and Text Mining, Multilingualism and Cross-Lingual NLP, Interpretability and Analysis of Models for NLP, and Ethics, Bias and Fairness. Acceptance notifications go out 7 September 2026 and camera-ready papers are due 30 September 2026, so the accepted programme is fixed weeks before the doors open.

At a Glance

Date
November 6–10, 2026
Location
Hengqin, China
Format
Hybrid
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)
Added
Aug 31, 2026
Updated
Aug 31, 2026

Topics & Focus Areas

Natural language processingLarge language modelsLLM agentsEfficient methods for NLPMultilingual and cross-lingual NLPModel interpretability and analysisInformation extraction and retrievalMachine translationAI ethics, bias and fairnessSpeech recognition and spoken language understanding

Who Should Attend

  • NLP research scientists
  • Machine learning engineers building LLM products
  • Applied scientists and research engineers
  • Heads of AI/ML and research leads
  • PhD students and postdocs in computational linguistics
  • Data scientists working on multilingual text

Organizer

A

Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)

aaclnet.org/

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About This Event

AACL-IJCNLP 2026 is the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, held jointly with the 15th International Joint Conference on Natural Language Processing in Hengqin, China from 6-10 November 2026 as a hybrid conference. It is the Asia-Pacific region's flagship *ACL venue, reviewed through ACL Rolling Review rather than a conference-specific review cycle. Its call for papers spans 28 research areas that map directly onto what enterprise NLP teams are shipping: Language Modeling, LLM Agents, Efficient Methods for NLP, NLP and Code Models, Information Retrieval and Text Mining, Multilingualism and Cross-Lingual NLP, Interpretability and Analysis of Models for NLP, and Ethics, Bias and Fairness. Acceptance notifications go out 7 September 2026 and camera-ready papers are due 30 September 2026, so the accepted programme is fixed weeks before the doors open.

Key Dates & Deadlines

  • Acceptance notification
  • Camera-ready deadline

At a Glance

Date
November 6–10, 2026
Location
Hengqin, China
Format
Hybrid
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)
Added
Aug 31, 2026
Updated
Aug 31, 2026

Topics & Focus Areas

Natural language processingLarge language modelsLLM agentsEfficient methods for NLPMultilingual and cross-lingual NLPModel interpretability and analysisInformation extraction and retrievalMachine translationAI ethics, bias and fairnessSpeech recognition and spoken language understanding

Who Should Attend

  • NLP research scientists
  • Machine learning engineers building LLM products
  • Applied scientists and research engineers
  • Heads of AI/ML and research leads
  • PhD students and postdocs in computational linguistics
  • Data scientists working on multilingual text

Why Attend

This is where the primary literature behind the techniques your teams are about to adopt gets presented first — agent architectures, retrieval and text mining, efficient inference, interpretability and multilingual modelling — with named authors you can recruit from or collaborate with. Attending in Hengqin puts you in front of the Asia-Pacific research base specifically, which matters if you operate in Chinese, Japanese, Korean or South-East Asian languages and keep finding that published benchmarks only measure English. The hybrid format makes it a cheap way to brief an engineering team on what will be production-relevant in eighteen months.

Event Features

  • Main conference long and short paper tracks across 28 research areas
  • LLM Agents track
  • Language Modeling track
  • Efficient Methods for NLP track
  • NLP and Code Models track
  • Interpretability and Analysis of Models for NLP track
  • Ethics, Bias and Fairness track
  • System Demonstrations programme
  • Student Research Workshop
  • Co-located tutorials and workshops

What Makes This Unique

  • The Asia-Pacific region's flagship *ACL main conference — the venue where regional, Chinese-language and multilingual NLP research is concentrated rather than an English-first programme.
  • Reviewed through ACL Rolling Review, so submissions arrive with completed peer reviews and meta-reviews and the commitment step happens on a published schedule (first commitment 2-7 August 2026, second 25 August 2026).
  • Runs a dedicated LLM Agents track alongside Language Modeling and NLP and Code Models — agent work presented as peer-reviewed results with reproducible evaluation, not vendor demos.
  • Explicitly hybrid, so teams that cannot get travel approval for Hengqin can still attend the main programme.
  • Co-located Student Research Workshop, System Demonstrations, tutorials and workshops sit alongside the main track.

Industries Represented

TechnologySoftwareAcademia and researchFinancial servicesHealthcare

Pricing Details

Registration rates for AACL-IJCNLP 2026 are not published on the conference site as of 31 August 2026 — the site currently carries the calls, the important dates and the venue only. Budget against the usual ACL structure of separate in-person and virtual registrations.

Organizer

A

Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)

aaclnet.org/

Frequently Asked

When is AACL-IJCNLP 2026?
AACL-IJCNLP 2026 takes place November 6–10, 2026 in Hengqin, China.
Where is AACL-IJCNLP 2026 held?
AACL-IJCNLP 2026 is held in Hengqin, China. The event format is hybrid.
What is the AACL-IJCNLP 2026 submission deadline?
The next AACL-IJCNLP 2026 deadline is acceptance notification on Sep 7, 2026. Remaining dates: Camera-ready deadline — Sep 30, 2026.
How much does AACL-IJCNLP 2026 cost?
AACL-IJCNLP 2026 is paid. Registration rates for AACL-IJCNLP 2026 are not published on the conference site as of 31 August 2026 — the site currently carries the calls, the important dates and the venue only. Budget against the usual ACL structure of separate in-person and virtual registrations.
Who should attend AACL-IJCNLP 2026?
AACL-IJCNLP 2026 is aimed at NLP research scientists, Machine learning engineers building LLM products, Applied scientists and research engineers, Heads of AI/ML and research leads, PhD students and postdocs in computational linguistics, Data scientists working on multilingual text.
What topics does AACL-IJCNLP 2026 cover?
AACL-IJCNLP 2026 covers Natural language processing, Large language models, LLM agents, Efficient methods for NLP, Multilingual and cross-lingual NLP, Model interpretability and analysis, Information extraction and retrieval, Machine translation, AI ethics, bias and fairness, Speech recognition and spoken language understanding.

Sources

This page was written from 4 sources, 1 on domains other than 2026.aaclnet.org.

  1. 1.2026.aaclnet.org2026.aaclnet.orgvendor
  2. 2.2026.aaclnet.orgmain conference papersvendor
  3. 3.2026.aaclnet.orgpapersvendor
  4. 4.aclweb.orgjoint call tutorial proposals emnlpaacl ijcnlp 2026
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