Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
- Anthony Baez
- Wang Zhang
- et al.
- 2024
- NeurIPS 2024
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- NeurIPS 2024
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Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models
- Jonas Zausinger
- Lars Pennig
- et al.
- 2024
- NeurIPS 2024
Predicting LLM Inference Latency: A Roofline-Driven ML Method
- Saki Imai
- Rina Nakazawa
- et al.
- 2024
- NeurIPS 2024
Thought of Search: Planning with Language Models Through The Lens of Efficiency
- Michael Katz
- Harsha Kokel
- et al.
- 2024
- NeurIPS 2024
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications
- Bo Wen
- Xin Zhang
- 2024
- NeurIPS 2024
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
- Megh Thakkar
- Yash More
- et al.
- 2024
- NeurIPS 2024
Improving Structural Plausibility in 3D Molecule Generation via Property-Conditioned Training with Distorted Molecules
- Lucy Vost
- Vijil Vijil
- et al.
- 2024
- NeurIPS 2024
Deep Clustering with Associative Memories
- Bishwajit Saha
- Dmitry Krotov
- et al.
- 2024
- NeurIPS 2024
Automating Thought of Search: A Journey Towards Soundness and Completeness
- Daniel Cao
- Michael Katz
- et al.
- 2024
- NeurIPS 2024
Value Alignment from Unstructured Text
- 2024
- NeurIPS 2024