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David helps Goliath: Inference-Time Collaboration Between Small
  Specialized and Large General Diffusion LMs

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs

24 May 2023
Xiaochuang Han
Sachin Kumar
Yulia Tsvetkov
Marjan Ghazvininejad
    DiffM
ArXivPDFHTML

Papers citing "David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs"

7 / 7 papers shown
Title
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola
Aaron Gokaslan
Justin T Chiu
Zhihan Yang
Zhixuan Qi
Jiaqi Han
S. Sahoo
Volodymyr Kuleshov
DiffM
67
3
0
12 Mar 2025
Selective Prompt Anchoring for Code Generation
Selective Prompt Anchoring for Code Generation
Yuan Tian
Tianyi Zhang
80
3
0
24 Feb 2025
DiffusER: Discrete Diffusion via Edit-based Reconstruction
DiffusER: Discrete Diffusion via Edit-based Reconstruction
Machel Reid
Vincent J. Hellendoorn
Graham Neubig
DiffM
43
39
0
30 Oct 2022
Model ensemble instead of prompt fusion: a sample-specific knowledge
  transfer method for few-shot prompt tuning
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
Xiangyu Peng
Chen Xing
Prafulla Kumar Choubey
Chien-Sheng Wu
Caiming Xiong
VLM
73
11
0
23 Oct 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
166
768
0
27 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
301
11,730
0
04 Mar 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
202
392
0
10 Feb 2021
1