Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts)
Computational Linguistics for Brain Encoding and Decoding: Principles, Practices and Beyond (2024.acl-tutorials)
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| Challenge: | This tutorial will explore the potential of computational linguistics to help understand brain language processing. |
| Approach: | This tutorial will explore the principles and practices of using computational linguistics methods for brain encoding and decoding. |
| Outcome: | This tutorial will explore the principles and practices of using computational linguistics methods for brain encoding and decoding. |
Automatic and Human-AI Interactive Text Generation (with a focus on Text Simplification and Revision) (2024.acl-tutorials)
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| Challenge: | In this tutorial, we focus on text-to-text generation, a class of natural language generation tasks, that takes a piece of text as input and then generates a revision that is improved according to some specific criteria. |
| Approach: | This tutorial focuses on text-to-text generation, a class of natural language generation tasks that takes a piece of text as input and generates a revision that is improved according to some specific criteria. |
| Outcome: | This tutorial focuses on text-to-text generation, a class of natural language generation tasks, that takes a piece of text as input and generates a revision that is improved according to some specificcriteria. |
Computational Expressivity of Neural Language Models (2024.acl-tutorials)
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| Challenge: | Language models (LMs) are at the forefront of NLP research due to their versatility across diverse tasks. |
| Approach: | This tutorial will provide a framework for formal analysis of modern language models using tools from formal language theory. |
| Outcome: | This tutorial will provide a framework for formal analysis of modern language models using tools from formal language theory (FLT). |
Presentation Matters: How to Communicate Science in the NLP Venues and in the Wild? (2024.acl-tutorials)
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| Challenge: | a tutorial on communication skills is being proposed to help early career researchers . the tutorial would cover writing, oral presentation and social media presence . |
| Approach: | a tutorial on communication skills is proposed to help early career researchers . the tutorial would cover writing, oral presentation and social media presence . |
| Outcome: | a new tutorial will cover communication skills, including writing, oral presentation and social media presence . the tutorial will allow attendees to ask questions and clarify their research . |
Vulnerabilities of Large Language Models to Adversarial Attacks (2024.acl-tutorials)
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| Challenge: | This tutorial focuses on the vulnerabilities of Large Language Models to adversarial attacks . the tutorial lays the foundation by explaining safety-aligned models and concepts in cybersecurity . |
| Approach: | This tutorial lays the foundation by explaining safety-aligned LLMs and concepts in cybersecurity. |
| Outcome: | The tutorial lays the foundation by explaining safety-aligned models and concepts in cybersecurity. |
Detecting Machine-Generated Text: Techniques and Challenges (2024.acl-tutorials)
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| Challenge: | This tutorial focuses on machine-generated text and deepfakes. |
| Approach: | This tutorial aims to provide a comprehensive overview of text detection techniques . it will focus on machine-generated text and deepfakes . |
| Outcome: | This tutorial focuses on machine-generated text and deepfakes. |