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International Economics Development and Research Center

Welcome to The 10th International Conference on Culture, Languages and Literature (ICCLL 2024), which will be held in Berlin, Germany during August 7-9, 2024.

Email: geoff@iedrc.net

Cultural Studies; Language Studies; Literary Studies; Interdisciplinary Approaches;

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Conversational Agents (CA) as frontends to Information Retrieval (IR) and Recommender Systems (RS) become more popular in everyday life, with a wider range of users and usages. The latest developments in Large Language Models (LLMs) will have tremendous consequences, especially for the workplace and education. In this Dagstuhl Perspectives Workshop, we want to focus on the evaluation of these conversational systems, as appropriate methods are still missing. The quality of these systems is limited in terms of personalization, veracity and correctness, bias, transparency, trustworthiness, and understandability. Thus, evaluation methods must address these shortcomings. Furthermore, user- and usage-oriented aspects should become a more prominent and integral component in evaluations, as the user population as well as the tasks these systems are used for become more heterogeneous. For this reason, the topic-centric view of relevance has to be extended to a broad range of facets which are important for the different usage scenarios. Therefore, suitable evaluation criteria have to be specified, which form the basis for defining appropriate measures. Most importantly, the range of evaluation methods must be revisited and extended, as popular methods like the Cranfield approach or crowdsourcing must be complemented by new evaluation methods and strategies specifically tailored to this new type of system.

Implementierung und Anwendungen von künstlicher Intelligenz,    Informations & Wissensmanagement, Big Data Computing

The aim of the COMMA conference is to bring together researchers interested in computational models of argument and the representation of argumentation structures in natural language texts, including the problem of automatically discovering argumentation in text or speech. In addition to the main conference track, there will be thematically-focused workshops, system demonstrations, and a summer school with courses on current topics of argumentation.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Automated programming refers to techniques that suggest newly written code, e.g., in the form of code completion tools. Techniques for automated programming include large language models that predict code based on natural language specifications of the intended behavior. The recent development of technologies like Codex and ChatGPT have made us examine the possibility of automated programming in the future. Automated program repair refers to a suite of techniques for automated rectification of errors or vulnerabilities in programs. Automated program repair technologies were originally developed for reducing the debugging effort for manually written code. However, interestingly these techniques can be adapted to improve automatically generated code. This Dagstuhl Seminar will explore the intersection of these two fields.

Softwareentwicklung,    Implementierung und Anwendungen von künstlicher Intelligenz

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Natural language processing (NLP) is transforming the way humans communicate with each other and with machines, with applications in multi-document summarization, machine translation, question answering, fact checking, decision support in health domains, or any applications which require making decisions that involve complex reasoning or entail combining different modalities (e.g., vision and text). The goal of the workshop, as well as of the entire program, is to facilitate collaboration among NLP researchers and to encourage closer interactions between the NLP and Machine Learning communities.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Generative AI systems are rapidly being integrated into global systems of cultural communication, consumption, and production. As these technologies shape our cultures, we urgently need conceptual foundations for investigating the cultural inclusivity of generative AI pipelines (from data collection, to model development and deployment, to evaluation), as well as methods to study the varying societal and cultural impacts of generative AI. This Dagstuhl Seminar wants to bring together scholars and practitioners from computer science, social sciences, the tech industry, and creative industries to discuss the cultural implications of generative AI and find paths toward building generative AI that can be responsive to the diverse needs of individuals, groups, and societies around the world. Together, seminar participants will build shared language and frameworks for reshaping the technical and social architectures of generative AI.

Implementierung und Anwendungen von künstlicher Intelligenz,    Netzgemeinschaften und Gesellschaftliche Aspekte der Informationstechnologie

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar Task and Situation-Aware Evaluation of Speech and Speech Synthesis is an opportunity to help redefine the metrics and methods traditionally used to evaluate speech synthesis and human speech as they are used across disciplines, tasks, and applications. The seminar is designed as a collaborative platform where experts from engineering, the humanities, social sciences, and more come together to challenge the status quo and drive innovation. Through the combination of perspectives and the bridging of gaps between scientific disciplines we hope to uncover and develop evaluation techniques that are not only scientifically rigorous but also contextually relevant to the diverse uses of speech technology today. We seek the collective expertise of participants from diverse areas of science and technology – ranging from phonetics to machine learning, from rhetorical analysis to practical applications in assistive technologies. This interdisciplinary approach is essential for crafting evaluation standards that are as dynamic and nuanced as the technologies and applications they aim to assess. To this end, we encourage you to share, debate, and refine ideas, methods, and tools that can contribute to a transformative discussion on the evaluation of speech synthesis.