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Tutorials |
pages |
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From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and beyond
Hao Fei, Yuan Yao, Zhuosheng Zhang, Fuxiao Liu, Ao Zhang and Tat-Seng Chua
Website: https://mllm2024.github.io/COLING2024 |
pp. 1‑8 |
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Geo-Cultural Representation and Inclusion in Language Technologies
Sunipa Dev and Rida Qadri |
pp. 9‑12 |
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Meaning Representations for Natural Languages: Design, Models and Applications
Julia Bonn, Jeffrey Flanigan, Jan Hajič, Ishan Jindal, Yunyao Li and Nianwen Xue
Website: https://lrec-coling-2024.org/wp-content/uploads/2024/01/5009-LREC2024-tutorial-MR-Bert-final-as-submitted.pdf |
pp. 13‑18 |
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Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)
Leshem Choshen, Ariel Gera, Yotam Perlitz, Michal Shmueli-Scheuer and Gabriel Stanovsky
Website: https://github.com/borgr/tutEval |
pp. 19‑25 |
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Mining, Assessing, and Improving Arguments in NLP and the Social Sciences
Gabriella Lapesa, Eva Maria Vecchi, Serena Villata and Henning Wachsmuth
Website: https://sites.google.com/view/argmintutorial-2024/home-page |
pp. 26‑32 |
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Knowledge Editing for Large Language Models
Ningyu Zhang, Yunzhi Yao and Shumin Deng
Website: https://github.com/zjunlp/KnowledgeEditingPapers |
pp. 33‑41 |
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The DBpedia Databus Tutorial: Increase the Visibility and Usability of Your Data
Milan Dojchinovski
Website: https://www.dbpedia.org/events/dbpedia-tutorial-lrec-2024/ |
pp. 42‑44 |
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NLP for Chemistry – Introduction and Recent Advances
Camilo Thorne and Saber Akhondi
Website: https://github.com/camilothorne/nlp-4-chemistry-lrec-2024 |
pp. 45‑49 |
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Formal Semantic Controls over Language Models
Danilo Silva de Carvalho, Yingji Zhang and André Freitas
Website: https://danilosc.com/events/tutorial-lrec-2024/ |
pp. 50‑55 |
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Towards a Human-Computer Collaborative Scientific Paper Lifecycle: A Pilot Study and Hands-On Tutorial
Qingyun Wang, Carl Edwards, Heng Ji and Tom Hope
Website: https://sites.google.com/view/coling2024-paper-lifecycle/ |
pp. 56‑67 |
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Tutorial Proposal: Hallucination in Large Language Models
Vipula Rawte, Aman Chadha, Amit Sheth and Amitava Das |
pp. 68‑72 |
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Addressing Bias and Hallucination in Large Language Models
Nihar Ranjan Sahoo, Ashita Saxena, Kishan Maharaj, Arif A. Ahmad, Abhijit Mishra and Pushpak Bhattacharyya |
pp. 73‑79 |
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Knowledge-enhanced Response Generation in Dialogue Systems: Current Advancements and Emerging Horizons
Priyanshu Priya, Deeksha Varshney, Mauajama Firdaus and Asif Ekbal
Website: https://ainlpml-tutorials.github.io/lrec-coling24-tutorial.github.io/ |
pp. 80‑87 |
Last modified on Sep 12, 2024, 11:39 a.m.
