ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.05515
  4. Cited By
NoisyICL: A Little Noise in Model Parameters Calibrates In-context
  Learning

NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning

8 February 2024
Yufeng Zhao
Yoshihiro Sakai
Naoya Inoue
ArXivPDFHTML

Papers citing "NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning"

3 / 3 papers shown
Title
Token-based Decision Criteria Are Suboptimal in In-context Learning
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho
Yoshihiro Sakai
Mariko Kato
Kenshiro Tanaka
Akira Ishii
Naoya Inoue
40
2
0
24 Jun 2024
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
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
1