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Prompt2Model: Generating Deployable Models from Natural Language Instructions
23 August 2023
Vijay Viswanathan
Chenyang Zhao
Amanda Bertsch
Tongshuang Wu
Graham Neubig
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Papers citing
"Prompt2Model: Generating Deployable Models from Natural Language Instructions"
7 / 7 papers shown
Title
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
Han Bao
Yue Huang
Yanbo Wang
Jiayi Ye
Xiangqi Wang
Xiuying Chen
Mohamed Elhoseiny
X. Zhang
Mohamed Elhoseiny
Xiangliang Zhang
47
7
0
28 Oct 2024
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
Hanshi Sun
Li-Wen Chang
Wenlei Bao
Size Zheng
Ningxin Zheng
Xin Liu
Harry Dong
Yuejie Chi
Beidi Chen
VLM
88
16
0
28 Oct 2024
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
Zekang Yang
Wang Zeng
Sheng Jin
Chao Qian
Ping Luo
Wentao Liu
MLLM
VLM
44
8
0
23 Feb 2024
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
Nitay Calderon
Subhabrata Mukherjee
Roi Reichart
Amir Kantor
24
17
0
03 May 2023
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
206
2,232
0
22 Mar 2023
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
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
204
1,451
0
02 Sep 2021
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