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Capabilities of Large Language Models in Control Engineering: A
  Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

4 April 2024
Darioush Kevian
U. Syed
Xing-ming Guo
Aaron J. Havens
Geir Dullerud
Peter M. Seiler
Lianhui Qin
Bin Hu
    ELM
ArXivPDFHTML

Papers citing "Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra"

11 / 11 papers shown
Title
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation
Hang Zhang
Zhuoling Li
Jun Liu
LRM
100
1
0
15 Dec 2024
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
Yukun Zhang
Qi Dong
29
0
0
23 Jun 2024
Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework
Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework
Edward Y. Chang
31
0
0
20 May 2024
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
Xing-ming Guo
Fangxu Yu
Huan Zhang
Lianhui Qin
Bin Hu
AAML
109
69
0
13 Feb 2024
Dynamic Planning with a LLM
Dynamic Planning with a LLM
Gautier Dagan
Frank Keller
A. Lascarides
LLMAG
83
34
0
11 Aug 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
197
160
0
05 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
193
624
0
26 Feb 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
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