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GistScore: Learning Better Representations for In-Context Example
  Selection with Gist Bottlenecks

GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks

16 November 2023
Shivanshu Gupta
Clemens Rosenbaum
Ethan R. Elenberg
    LRM
ArXivPDFHTML

Papers citing "GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks"

13 / 13 papers shown
Title
Learning to Substitute Components for Compositional Generalization
Learning to Substitute Components for Compositional Generalization
Z. Li
Gangwei Jiang
Chenwang Wu
Ying Wei
Defu Lian
Enhong Chen
57
0
0
28 Feb 2025
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Georgios Chochlakis
Alexandros Potamianos
Kristina Lerman
Shrikanth Narayanan
25
0
0
17 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
23
1
0
03 Oct 2024
URL: Universal Referential Knowledge Linking via Task-instructed
  Representation Compression
URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression
Zhuoqun Li
Hongyu Lin
Tianshu Wang
Boxi Cao
Yaojie Lu
Weixiang Zhou
Hao Wang
Zhenyu Zeng
Le Sun
Xianpei Han
32
1
0
24 Apr 2024
Leveraging Code to Improve In-context Learning for Semantic Parsing
Leveraging Code to Improve In-context Learning for Semantic Parsing
Ben Bogin
Shivanshu Gupta
Peter Clark
Ashish Sabharwal
19
6
0
16 Nov 2023
Compositional Semantic Parsing with Large Language Models
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov
Nathanael Scharli
Ekin Akyuurek
Nathan Scales
Xinying Song
Xinyun Chen
Olivier Bousquet
Denny Zhou
ReLM
LRM
187
91
0
29 Sep 2022
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
277
1,114
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
1,311
0
17 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,986
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
185
152
0
24 Sep 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,584
0
21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
1