Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2309.06541
Cited By
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity
12 September 2023
Joseph Gatto
Omar Sharif
Parker Seegmiller
Philip Bohlman
S. Preum
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity"
6 / 6 papers shown
Title
Assisting humans in complex comparisons: automated information comparison at scale
Truman Yuen
Graham A. Watt
Y. Lawryshyn
31
0
0
05 Apr 2024
Similarity-based Neighbor Selection for Graph LLMs
Rui Li
Jiwei Li
Jiawei Han
Guoyin Wang
20
3
0
06 Feb 2024
Automated Assessment of Students' Code Comprehension using LLMs
Priti Oli
Rabin Banjade
Jeevan Chapagain
Vasile Rus
22
0
0
19 Dec 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
123
593
0
26 Apr 2023
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
Yiming Chen
Yan Zhang
Bin Wang
Zuozhu Liu
Haizhou Li
27
24
0
30 Oct 2022
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
315
8,261
0
28 Jan 2022
1