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PHD THESIS (UClouvain) - CMesure: reliable and adaptive modeling of text readability in French as a foreign language
by Thomas François 24 May '23

24 May '23

Job : Ph.D. student (UClouvain) : CMesure: reliable and adaptive modeling of text readability in French as a foreign language L'UCLouvain recherche un chercheur ou une chercheuse pour un doctorat en traitement automatique du langage - bourse de doctorat à temps plein (100%) pour une durée de quatre ans - pour le Centre de traitement automatique du langage (Cental), de l'Institut langage et communication (ILC) à l’UCLouvain (Louvain-la-Neuve) - entrée en fonction: 1er septembre 2023 (négociable) Cette proposition de bourse de doctorat s’intègre dans le cadre d’un projet de recherche réalisé par le Centre de traitement automatique du langage (CENTAL, https://uclouvain.be/fr/instituts-recherche/ilc/cental), en collaboration avec FEI (France Éducation International, https://www.france-education-international.fr/). Le projet visera à développer un modèle d’évaluation automatisé de la lisibilité des textes pour le français langue étrangère (FLE). Il s’agira d’évaluer comment des algorithmes d’intelligence artificielle poussés permettraient de rendre des formules de lisibilité plus personnalisées, notamment en prenant en compte le type de lecture pratiquée, le genre du texte et la langue maternelle du lecteur. Dans un second temps, le projet visera à intégrer cette formule adaptative au sein d’un moteur de recherche pédagogique de textes en FLE, dont la pertinence des résultats sera évaluée par des professionnels du FLE. Ce projet bénéficie de plusieurs atouts. D’une part, il est ancré au sein d’un laboratoire dans les recherches en lisibilité sont reconnus internationalement. D’autre part, il profitera d’un partenariat stratégique avec France Éducation Internationale et d’un accès à des textes utilisés pour les examens certificatifs du DELF et du DALF, textes calibrés sur l’échelle du cadre européen commun de référence pour les langues (CECR). Cela constituera en un point de départ pour l’élaboration d’un modèle de lisibilité pour le FLE qui soit (1) plus fiable, car entraîné sur des données rigoureusement calibrées, et qui permette (2) d’explorer une question fondamentale en lisibilité, mais jamais étudiée à notre connaissance : l’impact de la langue maternelle sur les modèles, ainsi que celui du genre de texte et du type de lecture. Au sein de projet, le rôle du doctorant ou de la doctorante engagé consistera à mener l’essentiel de la recherche, à savoir (1) développer de nouvelles variables de lisibilité aptes à prendre en compte les caractéristiques pédagogiques et de genre des textes analysés ; (2) mettre au point un modèle machine learning (classique et/ou deep learning) non adaptatif à partir des textes du DELF et du DALF ; (3) mettre au point un modèle adaptatif et le comparer à sa version non adaptative et (4) intégrer ce modèle de lisibilité au sein d’un moteur de recherche adaptatif. Le chercheur ou la chercheuse devra également assurer la diffusion des résultats obtenus via des publications scientifiques et rédiger une thèse de doctorat. Il ou elle sera amené à collaborer étroitement avec les autres membres de l’équipe en vue d’assurer la bonne réalisation de ces tâches. Environment de travail : Le CENTAL est rattaché à l’Institut Langage & Communication (https://uclouvain.be/fr/instituts-recherche/ilc), qui fait partie de l’UCLouvain. Cette université est située à Louvain-la-Neuve (https://uclouvain.be/fr/sites/louvain-la-neuve), une ville piétonne, agréable à vivre et très dynamique. Le projet de recherche sera réalisé sous la direction du Pr. Thomas François (https://thomasfrancoisucl.wixsite.com/homepage), expert en lisibilité et en simplification automatique de la langue. Des missions à Paris (Sèvres) sont prévues afin d’assurer une bonne collaboration avec FEI. Cet organisme est mondialement reconnu pour son expertise dans le domaine de l’évaluation des niveaux de compétence en français langue étrangère (FLE) et est en charge de l’organisation des principaux tests de langues en français, à savoir le TCF, le DELF, ou le DAFL. Qualifications et aptitudes requises Le candidat répondra aux qualifications suivantes : * Être porteur d’un master en Linguistique computationelle, en Traitement automatique du langage (TAL), ou en Informatique (option en Intelligence artificielle). * Faire montre d’un excellent parcours académique * Disposer de bonnes compétences informatiques : * langages de programmation : Python, R (ou similaire) * la connaissance de scikit-learn, pandas, tensorflow/keras et/ou pytorch * systèmes : Linux de préférence * Bonne connaissance des principaux outils et algorithmes du TAL. La connaissance des réseaux de neurones profonds est un plus. * Excellente maîtrise du français (niveau C1 minimum) et bonne connaissance de l’anglais (niveau B2 minimum) * Autonomie, curiosité, sens du travail en équipe, capacité d’écoute et d’analyse des besoins, réactivité. Conditions d’engagement : Cette bourse de doctorat est soumise aux conditions suivantes : * À la date d’engagement, le doctorant doit être titulaire depuis au maximum 3 ans* d’un grade académique de master 120 crédits ou d’un grade reconnu comme équivalent. * Le montant net de la bourse est d’environ 2 370 euros par mois. * Le délai maximum fixé ci-dessus est augmenté d’une année par accouchement et/ou par adoption. Dossier de candidature : Date limite de remise du dossier : 22 juin Si vous êtes intéressé par ce poste, merci d'envoyer votre dossier de candidature à Thomas François par mail (thomas.francois(a)uclouvain.be). Celui-ci devra inclure : 1. un curriculum vitae détaillé en français ou anglais reprenant les différentes qualifications et aptitudes requises, les détails de votre parcours académique (grades, listes de cours), ainsi que les éventuelles publications et autres expériences académiques et scientifiques ; 2. une lettre de motivation en français, décrivant votre intérêt pour le poste, comment votre profil répond à la description du poste et aux objectifs du projet, etc. (maximum 2 pages) ; 3. une lettre de référence en français ou en anglais de la part d’un ou d’une de vos professeur(e)s. Les candidats retenus seront invités à participer à un entretien via vidéo-conférence selon des modalités qui leur seront ensuite transmises par mail. Plus d'informations : Les questions concernant le poste ou la procédure de candidature doivent être envoyées par e-mail à Thomas François (thomas.francois(a)uclouvain.be) avant le 15 juin. Pr. Thomas François Chargé de cours en linguistique appliquée Faculté de Philosophie, Arts et Lettres Université catholique de Louvain Institut Langage et Communication, PLIN, CENTAL et TeaMM Place Montesquieu, 3 - box L2.06.04 • B-1348 Louvain-la-Neuve • Belgium Tél. : +32 (0)10 / 47 37 36

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Two 3-year postdocs at the University of Birmingham
by Slava Jankin 23 May '23

23 May '23

Dear all, We are currently looking for two postdocs. One in computational social science <https://www.linkedin.com/jobs/view/3610418931/?refId=8hGL2KoI0ELhZiJ687XeFA…> (Generative AI and Democracy project) and one in natural language processing <https://www.linkedin.com/jobs/view/3610418933/?refId=dgx8vu0Yt5VyFUOroQrUzw…> (Causal Language Understanding project). Both positions are available at the Research Fellow (Grade 8) and Senior Research Fellow (Grade 9) levels. Both positions will be based in the Centre for AI in Government and Interdisciplinary Institute for Data Science and AI <https://www.birmingham.ac.uk/research/data-science/index.aspx>. We will start reviewing applications on *20 June* and invite shortlisted candidates for an interview on a rolling basis. If all positions are filled prior to the final closing date (30 September), we may close the advert, so we encourage early applications. I’m also more than happy to answer to any questions related to these posts. Best wishes, Slava _________ Slava Jankin Professor of Data Science and Government School of Government and School of Computer Science Turing Academic Lead University of Birmingham Edgbaston, Birmingham, B15 2TT, UK

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Call for Submission of ACL 2023 Findings Papers to LAW-XVII
by Annemarie Friedrich 23 May '23

23 May '23

Dear authors of papers accepted to Findings of ACL 2023, We are planning to invite a few selected Findings papers to present their work at the 17th Linguistic Annotation Workshop as a poster. The LAW-XVII (https://sigann.github.io/LAW-XVII-2023) is this year's edition of the annual workshop of the ACL Special Interest Group on Annotation (SIGANN). It provides a forum for the presentation and discussion of innovative research on all aspects of linguistic annotation, including the creation and evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. As in the past, the LAW will provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. If you are interested in presenting your work at the LAW-XVII on July 13, 2023, please submit the following via https://softconf.com/acl2023/law ("Make a new submission") by June 1, 2023 (anywhere on earth). During submission, you will be asked to provide: * A short paragraph stating why you think your paper is a good fit for LAW. Please refer to the Call for Papers on our workshop website for a list of relevant topics. * The final camera-ready version of your paper. * Information on the presenter(s) and whether they will participate onsite or remotely. Double-submission to several workshop is allowed as long as you state this during submission. Who is the presenter of the paper and whether the presenter is planning to attend onsite or remotely. Acceptance is subject to capacity. We are looking forward to an amazing workshop in Toronto! Best Regards, Annemarie Friedrich & Jakob Prange LAW-XVII Program Co-Chairs law-xvii-2023(a)outlook.de https://sigann.github.io/LAW-XVII-2023/

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PhD Position on Strategies for improving Neural Dialogue Models generation - Application deadline: *30th of May*
by Marco Guerini 23 May '23

23 May '23

---- Apologies for cross-posting. ---- The Language and Dialogue Technologies (LanD) group at Fondazione Bruno Kessler <https://www.fbk.eu/en/> (Trento, Italy) in conjunction with the ICT International Doctorate School of the University of Trento <https://iecs.unitn.it/> is pleased to announce the availability of the following fully-funded PhD position: *TITLE*: Strategies for improving Neural Dialogue Models generation *DESCRIPTION*: Conversational agents are experiencing a surge in interest given the continuous release of new models and the ever evolving scenario of NLG. Still, the actual focus is mainly on model size, training data size and prompt engineering. The interaction of these elements with related aspects, such as decoding strategies, knowledge guided generation, data quality, knowledge distillation -just to mention a few- can help in improving the models, especially for better factuality, reducing hallucination and increasing coherence among dialogue turns. The goal of this PhD Thesis is to overcome the shortcomings of present large language models by incorporating novel strategies for better generation. *Link to the call*: https://iecs.unitn.it/education/admission/reserved-topic-scholarships#A7 *CONTACTS*: guerini(a)fbk.eu, jacopo.staiano(a)unitn.it *COMPLETE DETAILS AVAILABLE AT*: https://iecs.unitn.it/education/admission/call-for-application *IMPORTANT DATES:* The deadline for application is May 30, 2023, hrs. 04:00 PM (CEST) *FURTHER INFORMATION: *For preliminary interviews, and should you need further information about the position, please contact Marco Guerini ( guerini(a)fbk.eu) and Jacopo Staiano (jacopo.staiano(a)unitn.it). Best Regards, Marco Guerini -- Marco Guerini, PhD www.marcoguerini.eu

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Assistant Professor position at Chalmers University of Technology
by Richard Johansson 23 May '23

23 May '23

The Department of Computer Science and Engineering at Chalmers University of Technology invites applications for an Assistant Professor position focused on the theoretical foundations of AI. https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=jo… This is a tenure-track position with a starting package. NLP-oriented candidates are very welcome to get in touch with me (richard.johansson(a)cse.gu.se) and discuss. The deadline for applying is *May 28*. Best regards, Richard Johansson

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Second Call for Task Participation: Medical NLP for Social Media and Clinical Texts (NTCIR-17 MedNLP-SC)
by Lis Kanashiro 23 May '23

23 May '23

============================================ NTCIR-17 MedNLP-SC https://sociocom.naist.jp/mednlp-sc/ Registration due: June 26, 2023 Evaluation period starts July 10, 2023 ============================================ ---------------- Invitation to the MedNLP-SC shared task ---------------- Continuing the series of NTCIR Natural Language Processing shared tasks and conferences, NTCIR-17 will be held in Tokyo on December 12-15, 2023. As in previous editions, NTCIR-17 features the MedNLP task on medical NLP. This year, MedNLP-SC is about Medical Natural Language Processing for Social Media and Clinical Texts. This task provides two types of data: - social media (artificially created tweets) in Japanese, English, German, and French in parallel; - radiology reports in Japanese. We invite you to explore the sample data at https://sociocom.naist.jp/mednlp-sc/ and participate in the task. --------------- Tasks ---------------- 1) Social Media (SM) Subtask: Adverse drug event detection (ADE) (Languages: Japanese, English, French, and German) 2) Radiology Report (RR) Subtask: TNM staging (Language: Japanese) More detail and examples are available at https://sociocom.naist.jp/mednlp-sc/ ------------------ Schedule ------------------ * March 2023: Train dataset initial release * June 26, 2023: Deadline for registration * June 26, 2023: Train dataset final release * July 10: Test dataset release * July 17, 2023: Deadline for submission of test runs (Formal Run) * August 1, 2023: Evaluation results release to the participants * August 1, 2023: Task overview paper release (draft) * September 1, 2023: Deadline for submission of participant papers * November 1, 2023: Deadline for camera-ready participant papers * December 12-15, 2023: NTCIR-17 Conference (NII, Tokyo, Japan) (hybrid event, online presentation will be available) ------------------ Task Registration ------------------ Please register on the NTCIR-17 website: http://research.nii.ac.jp/ntcir/ntcir-17/howto.html ------ Organizers ------ (JAPAN) Eiji Aramaki, Ph.D. (NAIST, Japan) Yuta Nakamura, M.D. (The University of Tokyo, Japan) Shoko Wakamiya, Ph.D. (NAIST, Japan) Shuntaro Yada, Ph.D. (NAIST, Japan) Lis Weiji Kanashiro Pereira, Ph.D. (NAIST, Japan) Shouhei Hanaoka, M.D., Ph.D. (The University of Tokyo, Japan) Gabriel Herman Bernardim Andrade (NAIST, Japan) Faith Wavinya Mutinda (NAIST, Japan) Noriki Nishida, Ph.D. (RIKEN, Japan) Tomohiro Nishiyama (NAIST, Japan) Hiroki Teranishi, Ph.D. (RIKEN, Japan) Narumi Tokunaga (RIKEN, Japan) Akiko Aizawa, Ph.D. (NII, Japan) Yuji Matsumoto, Ph.D. (RIKEN, Japan) (FRANCE) Cyril Grouin, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Thomas Lavergne, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Aurélie Névéol, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Patrick Paroubek, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Hui-Syuan Yeh (Université Paris-Saclay, CNRS, LISN, France) Pierre Zweigenbaum, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) (GERMANY) Lisa Raithel (DFKI, Germany, TU Berlin, Germany, and Université Paris-Saclay, CNRS, LISN, France) Roland Roller, Ph.D. (DFKI, Germany) Philippe Thomas, Ph.D. (DFKI, Germany) * MedNLP-SC contact: mednlp-sc[at]is.naist.jp -- Lis Kanashiro Pereira https://sites.google.com/view/lis-kp/home

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Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English)
by Loizos Michael 22 May '23

22 May '23

Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) The recent thrust towards explainable and trustworthy AI has provided renewed impetus to the design and development of AI technologies that explicitly acknowledge, and adapt to, the cognitive abilities and limitations of humans. To teach the emerging paradigm of cognitively-inspired AI, the interdisciplinary M.Sc. Program in Cognitive Systems combines courses from neural/connectionist and symbolic Artificial Intelligence, Machine Learning, and Cognitive Psychology, to explore the fundamentals of perception, attention, learning, mental representation, and reasoning, in humans and machines. The M.Sc. Program is offered jointly by two public universities in Cyprus (the Open University of Cyprus and the University of Cyprus) and has been accredited by the national Quality Assurance Agency. The program is directed by academics from the participating universities, and courses are offered in English via distance learning by an international team of instructors. Applications for the academic year 2023-2024 are accepted until May 30th, 2023: https://admissions.ouc.ac.cy/ More information (and contact details) about the M.Sc. Program in Cognitive Systems: https://cogsys.ouc.ac.cy/ Regards, Loizos

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PhD Position on Integrative Machine Translation at Fondazione Bruno Kessler - Application deadline: *30th of May*
by Matteo Negri 22 May '23

22 May '23

-- Apologies for cross-posting. -- Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a related area? Are you interested in carrying out research on automatic translation during the next few years? Are you excited to spend a part of your life in a pleasant city in the heart of the Italian Alps? WE ARE LOOKING FOR YOU!!! The Machine Translation <https://ict.fbk.eu/units/hlt-mt/> (MT) group at Fondazione Bruno Kessler (Trento, Italy) in conjunction with the ICT International Doctorate School of the University of Trento <https://iecs.unitn.it/> is pleased to announce the availability of the following fully-funded PhD position: TITLE: Integrative Machine Translation DESCRIPTION: The advent of foundation models has introduced unprecedented opportunities in all areas of natural language processing. Automatic translation (be it speech or text translation) is no exception, with a wide variety of language directions, domains and application scenarios whose coverage is no longer a mere utopia. Although conditions today are more favourable than in the past, open challenges still exist in terms of fully exploiting the power of the available models, increasing their flexibility to integrate diverse input types, or constraining the output to meet specific application requirements. Open questions include: how to feed non-symbolic models with symbolic information describing the context of a translation request? How to supply meta-information about target users? How to integrate model capabilities with external information from structured knowledge bases? How to condition the output to specific target applications? This PhD aims to explore state-of-the-art solutions to tackle these challenges, with a special focus on the integration of multimodal information (e.g. contextual information supplied as visual cues), user-specific constraints (e.g. for gender/formality control), and application-specific constraints (e.g. structural requirements as in the case of video subtitling). CONTACTS: negri(a)fbk.eu, bentivo(a)fbk.eu COMPLETE DETAILS AVAILABLE AT: https://iecs.unitn.it/education/admission/call-for-application IMPORTANT DATES: The deadline for application is May 30, 2023, hrs. 04:00 PM (CEST) Prospective candidates are strongly invited to contact us in advance for preliminary interviews. Depending on the short time remaining before the application deadline, precedence for interviews will be given to short-listed candidates that will send us a complete CV via email ( negri(a)fbk.eu, bentivo(a)fbk.eu) by May 25, 2022. Candidate profile The ideal candidate must have recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a closely related area. In addition, the applicant should: - Have an interest in Machine and Speech Translation - Have experience in deep learning and machine learning, in general - Have good programming skills in Python and experience in PyTorch - Enjoy working with real-world problems and large data sets - Have good knowledge of written and spoken English - Enjoy working in a closely collaborating team Working Environment The doctoral student will be employed at the MT group at Fondazione Bruno Kessler, Trento, Italy. The group (about 10 people including staff and students) has a long tradition in research on machine and speech translation and is currently involved in several projects. Former students are nowadays employed in leading IT companies in the world. Benefits Fondazione Bruno Kessler offers an attractive benefits package, including a flexible work week, full reimbursement for conferences and summer schools, a competitive salary, an excellent team of supervisors and mentors, help with housing, full health insurance, the possibility of Italian courses, and sporting facilities. Further Information For preliminary interviews, and should you need further information about the position, please contact Matteo Negri (negri(a)fbk.eu) and Luisa Bentivogli (bentivo(a)fbk.eu). Best Regards, Matteo Negri -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Grenoble Interdisciplinary Institute in Artificial Intelligence : Call for Research Fellow Chairs 2023
by François Portet 22 May '23

22 May '23

*Call for Research Fellow Chairs 2023* MIAI, the Grenoble Interdisciplinary Institute in Artificial Intelligence (https://miai.univ-grenoble-alpes.fr/), is opening three research fellow chairs in AI reserved to persons who have spent most of their research career outside France (see below). MIAI is one of the four AI institutes created by the French government and is dedicated to AI for the human beings and the environment. Research activities in MIAI aim to cover all aspects of AI and applications of AI with a current focus on embedded and hardware architectures for AI, learning and reasoning, perception and interaction, AI & society, AI for health, AI for environment & energy, and AI for industry 4.0. These research fellow chairs aim to to address important and ambitious research problems in AI-related fields and will partly pave the way for the future research to be conducted in MIAI. Successful candidates will be appointed by MIAI and will be allocated, for the whole duration of the chair, a budget of 250k€ covering PhD and/or postdoc salaries, internships, travels, … They will be part of MIAI and the French network of AI institutes (comprising, in addition to MIAI, the AI institutes in Paris, Toulouse and Nice) which provide a very dynamic environment for conducting research in AI. *Eligibility*//To be eligible, candidates must hold a PhD from a non-French university obtained after January 2014 for male applicants and after 2014-/n/, where /n/ is the number of children, for female applicants. They must also have spent more than two thirds of their research career since the beginning of their PhD outside France. Lastly, they should be pursuing internationally recognized research in AI-related fields (including applications of AI to any research field). *To apply* Interested candidates should first contact Eric Gaussier (eric.gaussier(a)univ-grenoble-alpes.fr) to discuss salary and application modalities. It is important to note that candidates should identify a local collaborator working in one of the Grenoble academic research labs with whom they will interact. If selected, they will join the research team of this collaborator. They should then send their application to Manel Boumegoura (manel.boumegoura(a)univ-grenoble-alpes.fr) and Eric Gaussier (eric.gaussier(a)univ-grenoble-alpes.fr) /by March 11, 2023/. Each application should comprise a 2-page CV, a complete list of publications, 2 reference letters, a letter from the local collaborator indicating the relevance and importance of the proposed project, and a 4-page description of the research project which can target any topic of AI or applications of AI. It is important to emphasize, in the description, the ambition, the originality and the potential impact of the research to be conducted, as well as the collaborations the candidate has or will develop with Grenoble researchers in order to achieve her or his research goals. *Starting date and duration* Each chair is intended for 3 to 4 years, starting no later than September 2023. *Location* The work will take place in Grenoble, in the research lab of the identified collaborator. For any question, please contact Eric Gaussier (eric.gaussier(a)univ-grenoble-alpes.fr) or Manel Boumegoura (manel.boumegoura(a)univ-grenoble-alpes.fr). *******

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[First CfP] Taming Large Language Models: Controllability in the era of Interactive Assistants -- Workshop at INLG 2023
by Devamanyu Hazarika 22 May '23

22 May '23

First Call For Submissions Welcome to the 1st Workshop on Taming Large Language Models: Controllability in the era of Interactive Assistants! This workshop aims to unite esteemed scholars, researchers, and practitioners specializing in Natural Language Generation (NLG). This event will foster in-depth discussions and explorations of the challenges and prospects associated with content control in LLMs. Emphasizing the intersection of NLG research and the instruction-learning paradigm, the workshop will serve as a platform for fruitful collaborations and knowledge exchange. This hybrid workshop will be co-located with INLG 2023 ( https://inlg2023.github.io/workshops.html) at Prague. ------------------------------ Important Dates - Submission deadline: June 15, 2023 - Author notification: July 21, 2023 - Camera-ready deadline: August 14, 2023 - Workshop date: September 12, 2023 Submission Portal: https://softconf.com/n/tllm2023 Website: https://ctrlnlg.github.io/ **All deadlines are 11.59 pm AOE time. ------------------------------ Topics We welcome submissions on one or more of the following topics: - Alignment: Investigating techniques to better align LLMs with human values and intentions, including reward modeling, human-in-the-loop systems, and quantifying alignment metrics. Understanding the objectives pursued by a model and aligning them with human preferences are key challenges. We encourage research on methods to increase alignments, such as through prompt design and fine-tuning. - In-context Learning: Exploring the role of context in LLMs, including how to improve context understanding, manage context drift, and enhance context-aware responses. Also, investigating the use of in-context learning as a control mechanism. - Instruction-based Control: Comparing popular controlling mechanisms, including approaches such as logit manipulation, decoder mixing, and classifier guidance, amongst others, against the simpler instruction-based control. - Generality: Investigating controllable techniques that work across tasks and datasets. - Safety and Robustness: Assessing potential risks and vulnerabilities in LLMs, along with solutions such as adversarial training, safe exploration, and monitoring model behavior during deployment. - Controllability vs. Robustness: Developing methods to better understand LLMs' decision-making processes, and how it acts in grounded scenarios. Understanding its reliance on implicit vs. explicit memory. - Scalability and efficiency: Investigating novel approaches for reducing computational requirements for achieving control in LLMs. - Real-world applications and case studies: Showcasing successful LLM deployments in various fields, such as healthcare, finance, education, and creative industries, along with lessons learned and future opportunities. Submissions We welcome reports of original research in the form of two types: - Long papers (8 pages + references) - Short papers (4 pages + references) We encourage all authors to include relevant discussions of ethical considerations and impact in the body of the paper. Submissions will be made via SoftConf/START: https://softconf.com/n/tllm2023 <https://softconf.com/n/icard2023/> Submission Format - The proceedings will be published by ACL Anthology. - All long, short, and abstract submissions must follow the two-column ACL format , which are available as an Overleaf template <https://www.overleaf.com/read/crtcwgxzjskr> and also downloadable directly <https://github.com/acl-org/acl-style-files> (Latex and Word). Please refer to the SIGDIAL 2023 website for the most recent version of the templates. - Submissions must conform to the official ACL style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format. - All submissions should be anonymized to facilitate double blind reviewing. - Submissions that do not adhere to the author guidelines or ACL policies <https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines> will be rejected without review. - Appendix should be added in the main document after references. Appendix does not count towards the page length. Any questions regarding submissions can be sent to tamingllm-workshop(a)googlegroups.com

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