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. 2402.15526
  4. Cited By
Chain-of-Specificity: An Iteratively Refining Method for Eliciting
  Knowledge from Large Language Models

Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models

20 February 2024
Kaiwen Wei
Jingyuan Zhang
Hongzhi Zhang
Fuzheng Zhang
Di Zhang
Li Jin
Yue Yu
ArXivPDFHTML

Papers citing "Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models"

2 / 2 papers shown
Title
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
215
318
0
21 Sep 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
1