Towards Using Large Language Models and Deep Reinforcement Learning for Inertial Fusion Energy
- Vadim Elisseev
- Max Esposito
- et al.
- 2024
- NeurIPS 2024
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- NeurIPS 2024
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81 results at NeurIPS 2024
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- 2024
- NeurIPS 2024
SELF-BART : A Transformer-based Molecular Representation Model using SELFIES
- Indra Priyadarsini S
- Seiji Takeda
- et al.
- 2024
- NeurIPS 2024
On the role of noise in factorizers for disentangling distributed representations
- 2024
- NeurIPS 2024
Agentic Anomaly Detection for Shipping
- Alexander Timms
- Abigail Langbridge
- et al.
- 2024
- NeurIPS 2024
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
- Anthony Baez
- Wang Zhang
- et al.
- 2024
- NeurIPS 2024
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