The State of the Art Large Language Models for Knowledge Graph Construction from Text: Techniques, Tools, and Challenges
- Jennifer D'souza
- Nandana Mihindukulasooriya
- 2024
- KGC 2024
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Unleashing the Power of DRA (Dynamic Resource Allocation) for Just-in-Time GPU Slicing
- Abhishek Malvankar
- Olivier Tardieu
- 2024
- KubeCon EU 2024
Achieving Platform Portability for vLLM by using Triton Autotuning and Remembering it
- 2024
- Ray Summit 2024
Leveraging Foundational AI Models for Polymer Design
- Nathaniel Park
- Tim Erdmann
- et al.
- 2024
- Polycondensation 2024
Best practices for LLM serving with DRA
- Chen Wang
- Abhishek Malvankar
- 2024
- KubeCon EU 2024
Large Language Models And Knowledge Graphs To Optimize Commercial Real Estate Portfolio
- 2023
- INFORMS 2023
Safe Rl Prompting for Llms for Solving Data Management Challenges
- Alexander Zadorojniy
- 2023
- INFORMS 2023
WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction
- 2024
- ISWC 2024
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models
- 2022
- ESORICS 2022
Leveraging Large Language Models for Natural Language to SQL Conversion
- Noah Hampp
- Katya Mirylenka
- 2024
- MML 2024