ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.16269
  4. Cited By
From Large Language Models and Optimization to Decision Optimization
  CoPilot: A Research Manifesto

From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto

26 February 2024
S. Wasserkrug
Léonard Boussioux
D. Hertog
F. Mirzazadeh
Ilker Birbil
Jannis Kurtz
Donato Maragno
    LLMAG
ArXivPDFHTML

Papers citing "From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto"

10 / 10 papers shown
Title
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
Haotian Zhai
Connor Lawless
Ellen Vitercik
Liu Leqi
54
0
0
20 Feb 2025
Artificial Intelligence for Operations Research: Revolutionizing the
  Operations Research Process
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
Zhenan Fan
Bissan Ghaddar
Xinglu Wang
Linzi Xing
Yong Zhang
Zirui Zhou
AI4CE
34
9
0
06 Jan 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
218
2,232
0
22 Mar 2023
NL4Opt Competition: Formulating Optimization Problems Based on Their
  Natural Language Descriptions
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
Rindranirina Ramamonjison
Timothy T. Yu
Raymond Li
Haley Li
Giuseppe Carenini
...
Shiqi He
Mahdi Mostajabdaveh
Amin Banitalebi-Dehkordi
Zirui Zhou
Yong Zhang
23
33
0
14 Mar 2023
Augmenting Operations Research with Auto-Formulation of Optimization
  Models from Problem Descriptions
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Rindranirina Ramamonjison
Haley Li
Timothy T. Yu
Shiqi He
Vishnu Rengan
Amin Banitalebi-Dehkordi
Zirui Zhou
Yong Zhang
31
30
0
30 Sep 2022
Autoformalization with Large Language Models
Autoformalization with Large Language Models
Yuhuai Wu
Albert Q. Jiang
Wenda Li
M. Rabe
Charles Staats
M. Jamnik
Christian Szegedy
AI4CE
108
156
0
25 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,730
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
205
1,651
0
15 Oct 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,561
0
18 Sep 2019
1