Top Tweets for #IJCAItutorial
#IJCAItutorial We’re excited to announce a tutorial at @IJCAIconf on Jeju Island, South Korea, on August 3 (morning), 2024 #IJCAI2024.
T07: Knowledge Editing for Large Language Models.
Something new:
1) Introducing knowledge mechanisms in large language models such as knowledge circuits.
2) Introducing new methods including techniques for modifying the memory of large language models (agents).
3) Introducing how knowledge editing technique benefits trustworthy large language models including detoxification and knowledge unlearning.
We will continuously update tutorials and tools (EasyEdit).
Resources: https://t.co/wVD9WiBWIt
Tools: https://t.co/yqAX1kPbOA
Everyone is welcome to join the discussion! #AI #MachineLearning #KnowledgeCircuits #NLP #ModelEditing #KnowledgeEditing #LLM
#IJCAItutorial T25: Advances in Fairness-aware Reinforcement Learning: Theory and Application #IJCAI2024
🗣️Pratik Gajane @pratik_gajane, Mykola Pechenizkiy @pechenizkiy, Yingqian Zhang @yingqianzhang
➡️ https://t.co/ArK6sjxtaR
#FairRL #RL #AI #ResponsibleTech
#IJCAItutorial T20: Generative AI for Education (GAIED): Advances, Opportunities, and Challenges #IJCAI2024
🗣️Adish Singla @mpi_sws_
➡️ https://t.co/EqwNoq7RFV
AI in the classroom, personalised learning and safeguards!
#GenerativeAI #LLM #AI #CSed
#IJCAItutorial T19: Tournaments in Computational Social Choice #IJCAI2024 Analyze competitions or elections to find the fairest winner.
🗣️Warut Suksompong
➡️ https://t.co/EqwNoq7RFV
#computationalSocialChoice #AI #MachineLearning
#IJCAItutorial T17: Machine ethics. A tutorial for prospective researcher #IJCAI2024
🗣️Kevin Baum, Louise Dennis @louiseadennis, Marija Slavkovik @MSlavkovik
➡️ https://t.co/EqwNoq8pvt
How to make #AI ethical and aligned with our values!? #TheGoodFuture
#IJCAItutorial T15: Recommender Systems in the Era of Large Language Models (LLMs) #IJCAI2024
🗣️Wenqi Fan, Yujuan Ding, Shijie Wang, Liangbo Ning, Qiaoyu Tan, Qing Li
➡️ https://t.co/EqwNoq7RFV
@ding_yujuan @wananxy1 @qiaoyu_tan
#IJCAItutorial T07: Knowledge Editing for Large Language Models #IJCAI2024
🗣️Ningyu Zhang @zxlzr, Jia-Chen Gu @Jiachen_Gu, Yunzhi Yao, Mengru Wang, Xiang Chen @_xiang_chen_, Shumin Deng @dsmall2apple1
➡️ https://t.co/EqwNoq8pvt
#LLM
We are at #IJCAI2024😃
Meet two of our lab members at @IJCAIconf and learn about counterfactual explanations🤓
#XAI #IJCAI2024 #IJCAItutorial
#IJCAItutorial T06: All You Ever Need to Know About Counterfactual Explanations: Fundamentals, Methods, & User Studies for XAI #IJCAI2024
🗣️André Artelt, Ulrike Kuhl @DrUlrikeKuhl, Mark Keane @keanema
➡️https://t.co/EqwNoq7RFV
#IJCAItutorial T06: All You Ever Need to Know About Counterfactual Explanations: Fundamentals, Methods, & User Studies for XAI #IJCAI2024
🗣️André Artelt, Ulrike Kuhl @DrUlrikeKuhl, Mark Keane @keanema
➡️https://t.co/EqwNoq7RFV
#IJCAItutorial T03: Enhancing Graph Representation Learning through Subgraph Strategies #IJCAI2024
🗣️Haoteng YIN, Beatrice Bevilacqua @beabevi_ , Bruno Ribeiro @brunofmr, Pan Li @PanLi90769257
➡️ https://t.co/EqwNoq7RFV
#Algorithms #GNN #GraphNeuralNetworks
#IJCAItutorial T04: Continual Learning on Graphs: Challenges, Solutions, and Opportunities #IJCAI2024 🗣️Dacheng Tao, Dongjin Song, Xikun ZHANG
➡️ https://t.co/EqwNoq7RFV
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