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Learning to Retrieve Iteratively for In-Context Learning

Learning to Retrieve Iteratively for In-Context Learning

20 June 2024
Yunmo Chen
Tongfei Chen
Harsh Jhamtani
Patrick Xia
Richard Shin
Jason Eisner
Benjamin Van Durme
    RALM
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Papers citing "Learning to Retrieve Iteratively for In-Context Learning"

5 / 5 papers shown
Title
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
1,114
0
18 Apr 2021
Constrained Language Models Yield Few-Shot Semantic Parsers
Constrained Language Models Yield Few-Shot Semantic Parsers
Richard Shin
C. H. Lin
Sam Thomson
Charles C. Chen
Subhro Roy
Emmanouil Antonios Platanios
Adam Pauls
Dan Klein
J. Eisner
Benjamin Van Durme
290
196
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
Task-Oriented Dialogue as Dataflow Synthesis
Task-Oriented Dialogue as Dataflow Synthesis
Semantic Machines
Jacob Andreas
J. Bufe
David Burkett
Charles C. Chen
...
Izabela Witoszko
Jason Wolfe
A. Wray
Yuchen Zhang
Alexander Zotov
AIFin
180
151
0
24 Sep 2020
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