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. 2405.10808
  4. Cited By
ActiveLLM: Large Language Model-based Active Learning for Textual
  Few-Shot Scenarios

ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios

17 May 2024
Markus Bayer
Christian A. Reuter
ArXivPDFHTML

Papers citing "ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios"

12 / 12 papers shown
Title
Position: Enough of Scaling LLMs! Lets Focus on Downscaling
Position: Enough of Scaling LLMs! Lets Focus on Downscaling
Ayan Sengupta
Yash Goel
Tanmoy Chakraborty
34
0
0
02 May 2025
Have LLMs Made Active Learning Obsolete? Surveying the NLP Community
Julia Romberg
Christopher Schröder
Julius Gonsior
Katrin Tomanek
Fredrik Olsson
67
0
0
12 Mar 2025
Active Learning for Direct Preference Optimization
B. Kveton
Xintong Li
Julian McAuley
Ryan Rossi
Jingbo Shang
Junda Wu
Tong Yu
64
1
0
03 Mar 2025
From Selection to Generation: A Survey of LLM-based Active Learning
From Selection to Generation: A Survey of LLM-based Active Learning
Yu Xia
Subhojyoti Mukherjee
Zhouhang Xie
Junda Wu
Xintong Li
...
Namyong Park
T. Nguyen
Jiebo Luo
Ryan Rossi
Julian McAuley
55
0
0
17 Feb 2025
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
Shanu Kumar
Saish Mendke
Karody Lubna Abdul Rahman
Santosh Kurasa
Parag Agrawal
Sandipan Dandapat
LLMAG
LRM
70
2
0
30 Nov 2024
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
34
182
0
22 Sep 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
386
8,495
0
28 Jan 2022
Active learning for reducing labeling effort in text classification
  tasks
Active learning for reducing labeling effort in text classification tasks
Peter Jacobs
Gideon Maillette de Buy Wenniger
M. Wiering
Lambert Schomaker
VLM
42
12
0
10 Sep 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
243
1,919
0
31 Dec 2020
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
116
180
0
19 Oct 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
1,589
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
297
6,959
0
20 Apr 2018
1