BEGIN:VCALENDAR VERSION:2.0 PRODID:ILLC Website X-WR-TIMEZONE:Europe/Amsterdam BEGIN:VTIMEZONE TZID:Europe/Amsterdam X-LIC-LOCATION:Europe/Amsterdam BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:/NewsandEvents/Archives/2024/newsitem/14635/24 ---26-February-2024-ICAART-2024-Special-Session-on -Large-Language-Models-Natural-Language-Processing -in-Artificial-Intelligence-LLMaNLPinAI-2024-Rome- Italy DTSTAMP:20231130T160722 SUMMARY:ICAART 2024 Special Session on Large Langu age Models & Natural Language Processing in Artifi cial Intelligence (LLMaNLPinAI 2024), Rome, Italy DTSTART;TZID=Europe/Amsterdam:20240224T000000 DTEND;TZID=Europe/Amsterdam:20240226T235900 LOCATION:Rome, Italy DESCRIPTION:Computational and technological develo pments that incorporate natural language are proli ferating. Adequate coverage encounters difficult p roblems related to partiality, underspecification, and context-dependency, which are signature featu res of information in nature and natural languages . Increased power of hardware and software allows collection of large language sources, which requir e Natural Language Processing (NLP). Large languag e models (LLM) are important for information proce ssing. LLM and NLP are interrelated and significan t in AI. This ICAART 2024 Special Session covers theoretical work, applications, approaches, and te chniques for computational models of information a nd its presentation by language (artificial, human , or natural in other ways). The goal is to promot e computational systems of intelligent language pr ocessing and related models of information, langua ge, reasoning, etc. Papers must be submitted elec tronically via the web-based submission system. Af ter thorough reviewing by the special session prog ram committee, all accepted papers will be publish ed in a special section of the conference proceedi ngs book. All papers presented at the conference v enue will be available at the SCITEPRESS Digital L ibrary. We expect a post-conference, post-proceedi ngs Special Issue with extended publications based on selected papers presented at NLPinAI at ICAART 2021--2023 and LLMaNLPinAI24. X-ALT-DESC;FMTTYPE=text/html:
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Computati onal and technological developments that incorpora te natural language are proliferating. Adequate co verage encounters difficult problems related to pa rtiality, underspecification, and context-dependen cy, which are signature features of information in nature and natural languages. Increased power of hardware and software allows collection of large l anguage sources, which require Natural Language Pr ocessing (NLP). Large language models (LLM) are im portant for information processing. LLM and NLP ar e interrelated and significant in AI.
\n This ICAART 2024 Special Session covers theoretical wor k, applications, approaches, and techniques for co mputational models of information and its presenta tion by language (artificial, human, or natural in other ways). The goal is to promote computational systems of intelligent language processing and re lated models of information, language, reasoning, etc.

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Papers must be submitt ed electronically via the web-based submission sys tem. After thorough reviewing by the special sessi on program committee, all accepted papers will be published in a special section of the conference p roceedings book. All papers presented at the confe rence venue will be available at the SCITEPRESS Di gital Library. We expect a post-conference, post-p roceedings Special Issue with extended publication s based on selected papers presented at NLPinAI at ICAART 2021--2023 and LLMaNLPinAI24.

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URL:https://icaart.scitevents.org/LLMaNLPinAI.aspx CONTACT:ICAART Secretariat at icaart.secretariat a t insticc.org END:VEVENT END:VCALENDAR