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Selecting Better Samples from Pre-trained LLMs: A Case Study on Question
  Generation

Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation

22 September 2022
Xingdi Yuan
Tong Wang
Yen-Hsiang Wang
Emery Fine
Rania Abdelghani
Pauline Lucas
Hélene Sauzéon
Pierre-Yves Oudeyer
ArXivPDFHTML

Papers citing "Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation"

19 / 19 papers shown
Title
Persona-SQ: A Personalized Suggested Question Generation Framework For
  Real-world Documents
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents
Zihao Lin
Z. Wang
Yuanting Pan
Varun Manjunatha
Ryan Rossi
Angela Lau
Lifu Huang
Tong Sun
RALM
67
0
0
17 Dec 2024
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a
  German Migration Context
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context
Steffen Kleinle
Jakob Prange
Annemarie Friedrich
RALM
33
0
0
22 Jul 2024
Learning-From-Mistakes Prompting for Indigenous Language Translation
Learning-From-Mistakes Prompting for Indigenous Language Translation
You-Cheng Liao
Chen-Jui Yu
Chi-Yi Lin
He-Feng Yun
Yen-Hsiang Wang
Hsiao-Min Li
Yao-Chung Fan
34
1
0
18 Jul 2024
When Search Engine Services meet Large Language Models: Visions and
  Challenges
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong
Jiang Bian
Yuchen Li
Xuhong Li
Mengnan Du
Shuaiqiang Wang
Dawei Yin
Sumi Helal
43
28
0
28 Jun 2024
Personalized LLM Response Generation with Parameterized Memory Injection
Personalized LLM Response Generation with Parameterized Memory Injection
Kai Zhang
Lizhi Qing
Yangyang Kang
29
11
0
04 Apr 2024
LLMs in the Loop: Leveraging Large Language Model Annotations for Active
  Learning in Low-Resource Languages
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages
Nataliia Kholodna
Sahib Julka
Mohammad Khodadadi
Muhammed Nurullah Gumus
Michael Granitzer
29
10
0
02 Apr 2024
A Moral Imperative: The Need for Continual Superalignment of Large
  Language Models
A Moral Imperative: The Need for Continual Superalignment of Large Language Models
Gokul Puthumanaillam
Manav Vora
Pranay Thangeda
Melkior Ornik
29
7
0
13 Mar 2024
Graph Guided Question Answer Generation for Procedural
  Question-Answering
Graph Guided Question Answer Generation for Procedural Question-Answering
Hai X. Pham
Isma Hadji
Xinnuo Xu
Ziedune Degutyte
Jay Rainey
Evangelos Kazakos
Afsaneh Fazly
Georgios Tzimiropoulos
Brais Martínez
9
1
0
24 Jan 2024
LLM-based Medical Assistant Personalization with Short- and Long-Term
  Memory Coordination
LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination
Kai Zhang
Yangyang Kang
Fubang Zhao
Xiaozhong Liu
17
23
0
21 Sep 2023
Improving Reading Comprehension Question Generation with Data
  Augmentation and Overgenerate-and-rank
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
Nischal Ashok Kumar
Nigel Fernandez
Zichao Wang
Andrew S. Lan
RALM
11
11
0
15 Jun 2023
Supporting Qualitative Analysis with Large Language Models: Combining
  Codebook with GPT-3 for Deductive Coding
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding
Ziang Xiao
Xingdi Yuan
Q. V. Liao
Rania Abdelghani
Pierre-Yves Oudeyer
11
130
0
17 Apr 2023
Large Language Models are Diverse Role-Players for Summarization
  Evaluation
Large Language Models are Diverse Role-Players for Summarization Evaluation
Ning Wu
Ming Gong
Linjun Shou
Shining Liang
Daxin Jiang
57
44
0
27 Mar 2023
GPT-3-driven pedagogical agents for training children's curious
  question-asking skills
GPT-3-driven pedagogical agents for training children's curious question-asking skills
Rania Abdelghani
Yen-Hsiang Wang
Xingdi Yuan
Tong Wang
Pauline Lucas
Hélene Sauzéon
Pierre-Yves Oudeyer
23
100
0
25 Nov 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
315
8,402
0
28 Jan 2022
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
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,311
0
17 Jan 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
241
1,913
0
31 Dec 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
1,584
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
406
2,576
0
03 Sep 2019
1