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Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective

Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective

Gaurav Singh
K. Bali
ArXiv (abs)PDFHTML

Papers citing "Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective"

5 / 5 papers shown
Title
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
100
547
0
07 Mar 2023
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
Peter Stone
R. Brooks
Erik Brynjolfsson
Ryan Calo
Oren Etzioni
...
W. Press
A. Saxenian
J. Shah
Milind Tambe
Astro Teller
VLMELMAI4TS
45
163
0
31 Oct 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
413
6,908
0
13 Apr 2022
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,018
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,033
0
16 Feb 2016

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