Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2305.11541
Cited By
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
19 May 2023
Fangkai Yang
Pu Zhao
Zezhong Wang
Lu Wang
Jue Zhang
Mohit Garg
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering"
8 / 8 papers shown
Title
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRL
ELM
316
0
0
31 Dec 2024
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
Weijie Chen
Ting Bai
Jinbo Su
Jian Luan
Wen Liu
Chuan Shi
RALM
148
1
0
07 Dec 2024
LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey
Ashok Urlana
Charaka Vinayak Kumar
Ajeet Kumar Singh
B. Garlapati
S. Chalamala
Rahul Mishra
61
7
0
22 Feb 2024
Read before Generate! Faithful Long Form Question Answering with Machine Reading
Dan Su
Xiaoguang Li
Jindi Zhang
Lifeng Shang
Xin Jiang
Qun Liu
Pascale Fung
HILM
36
60
0
01 Mar 2022
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
73
2,050
0
10 Feb 2020
ELI5: Long Form Question Answering
Angela Fan
Yacine Jernite
Ethan Perez
David Grangier
Jason Weston
Michael Auli
AI4MH
ELM
54
605
0
22 Jul 2019
NewsQA: A Machine Comprehension Dataset
Adam Trischler
Tong Wang
Xingdi Yuan
Justin Harris
Alessandro Sordoni
Philip Bachman
Kaheer Suleman
61
891
0
29 Nov 2016
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
Felix Hill
Antoine Bordes
S. Chopra
Jason Weston
RALM
70
633
0
07 Nov 2015
1