LLMGuard: Guarding against Unsafe LLM Behavior
- Shubh Goyal
- Medha Hira
- et al.
- 2024
- AAAI 2024
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STERLING: Synergistic Representation Learning on Bipartite Graphs
- Baoyu Jing
- Yuchen Yan
- et al.
- 2024
- AAAI 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- Clyde Fare
- George K. Holt
- et al.
- 2024
- AAAI 2024
Effective Data Distillation for Tabular Datasets
- Inwon Kang
- Parikshit Ram
- et al.
- 2024
- AAAI 2024
ESG Accountability Made Easy: DocQA at Your Service
- Lokesh Mishra
- Cesar Berrospi
- et al.
- 2024
- AAAI 2024
Generalized Planning in PDDL Domains with Pretrained Large Language Models
- Tom Silver
- Soham Dan
- et al.
- 2024
- AAAI 2024
High-Resolution WRF Wind Field Dataset for GHG Applications: Navigating Computational Challenges in Energy Research
- Karthik Mukkavilli
- W. Trojak
- et al.
- 2023
- AGU Fall 2023
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
3D-LLM: Injecting the 3D World into Large Language Models
- Yining Hong
- Haoyu Zhen
- et al.
- 2023
- NeurIPS 2023