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Tuning-Free Accountable Intervention for LLM Deployment -- A
  Metacognitive Approach

Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach

8 March 2024
Zhen Tan
Jie Peng
Tianlong Chen
Huan Liu
ArXivPDFHTML

Papers citing "Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach"

5 / 5 papers shown
Title
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
M. Zarlenga
Pietro Barbiero
Gabriele Ciravegna
G. Marra
Francesco Giannini
...
F. Precioso
S. Melacci
Adrian Weller
Pietro Lio'
M. Jamnik
79
52
0
19 Sep 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
133
185
0
31 May 2022
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
149
327
0
18 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
323
8,448
0
28 Jan 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
227
3,681
0
28 Feb 2017
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