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ORCIDKiL@KDD 2024: Barcelona, Spain
- Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy:
Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, August 26, 2024. CEUR Workshop Proceedings 3894, CEUR-WS.org 2025 - Pei-Fu Guo, Ying-Hsuan Chen, Yun-Da Tsai, Shou-De Lin:
Towards Optimizing with Large Language Model. 1-11 - Vinicius Monteiro de Lira, Antonio Maiorino, Peng Jiang:
Enhancing the Reliability of LLMs-based Systems for Survey Generation through Distributional Drift Detection. 12-19 - Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, Juba Nait Saada:
GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework. 20-31 - Ziyi Shou, Fangzhen Lin:
Enhancing Semantic Understanding in Vision Language Models Using Meaning Representation Negative Generation. 32-41 - Akio Hayakawa, Horacio Saggion:
Can LLMs Solve Reading Comprehension Tests as Second Language Learners? 42-49 - Firuz Juraev, Shaker H. Ali El-Sappagh, Tamer Abuhmed:
Infodeslib: Python Library for Dynamic Ensemble Learning using Late Fusion of Multimodal Data. 50-58 - Sandeep Mishra, Vishal Jadhav, Shirish S. Karande, Venkataramana Runkana:
Design and Optimization of Heat Exchangers Using Large Language Models. 59-80 - Bing Hu, Trevor Yu, Tia Tuinstra, Ryan Rezai, Harshit Bokadia, Rachel DiMaio, Thomas Fortin, Brian Vartian, Bryan P. Tripp:
Encoding Medical Ontologies With Holographic Reduced Representations for Transformers. 81-92 - Bingqian Li, Baiyang Song, Yi Zhou:
Enhancing Natural Language Understanding in Large Language Models by Symbolic Representation. 93-107 - Amirhossein Ghaffari, Huong Nguyen, Alaa Saleh, Lauri Lovén, Ekaterina Gilman:
Traffic Accident Prediction and Warning System: Integration Use Case. 108-118 - Walid S. Saba:
Towards Explainable and Ontologically Grounded Language Models⋆. 119-124 - Elizabeth Akinyi Ondula, Daniele Orner, Nick Mumero Mwangi, Casandra Rusti:
Sentimental Agents: Exploring Deliberation, Cognitive Biases, and Decision-making in LLM-based Multiagent Systems. 125-135 - Ishwar B. Balappanawar, Ashmit Chamoli, Ruwan Wickramarachchi, Aditya Mishra, Ponnurangam Kumaraguru, Amit P. Sheth:
Towards Infusing Auxiliary Knowledge for Distracted Driver Detection. 136-143
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