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Improving Socratic Question Generation using Data Augmentation and
  Preference Optimization

Improving Socratic Question Generation using Data Augmentation and Preference Optimization

1 March 2024
Nischal Ashok Kumar
Andrew S. Lan
ArXivPDFHTML

Papers citing "Improving Socratic Question Generation using Data Augmentation and Preference Optimization"

15 / 15 papers shown
Title
LookAlike: Consistent Distractor Generation in Math MCQs
LookAlike: Consistent Distractor Generation in Math MCQs
Nisarg Parikh
Nigel Fernandez
Alexander Scarlatos
Simon Woodhead
Andrew S. Lan
45
0
0
03 May 2025
ACE-RLHF: Automated Code Evaluation and Socratic Feedback Generation Tool using Large Language Models and Reinforcement Learning with Human Feedback
ACE-RLHF: Automated Code Evaluation and Socratic Feedback Generation Tool using Large Language Models and Reinforcement Learning with Human Feedback
Tasnia Rahman
Sathish A. P. Kumar
S. Jha
Arvind Ramanathan
KELM
33
0
0
07 Apr 2025
Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues
Alexander Scarlatos
Naiming Liu
Jaewook Lee
Richard Baraniuk
Andrew S. Lan
47
1
0
09 Mar 2025
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
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks
Zhangqi Duan
Nigel Fernandez
Alexander Hicks
Andrew S. Lan
AI4Ed
16
2
0
28 Sep 2024
Interpreting Latent Student Knowledge Representations in Programming
  Assignments
Interpreting Latent Student Knowledge Representations in Programming Assignments
Nigel Fernandez
Andrew S. Lan
27
2
0
13 May 2024
Generating Feedback-Ladders for Logical Errors in Programming using
  Large Language Models
Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models
Hasnain Heickal
Andrew Lan
LRM
24
2
0
01 May 2024
Improving Automated Distractor Generation for Math Multiple-choice
  Questions with Overgenerate-and-rank
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank
Alexander Scarlatos
Wanyong Feng
Digory Smith
Simon Woodhead
Andrew S. Lan
AI4Ed
26
4
0
19 Apr 2024
KTO: Model Alignment as Prospect Theoretic Optimization
KTO: Model Alignment as Prospect Theoretic Optimization
Kawin Ethayarajh
Winnie Xu
Niklas Muennighoff
Dan Jurafsky
Douwe Kiela
159
444
0
02 Feb 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
251
2,232
0
22 Mar 2023
Automatic Generation of Programming Exercises and Code Explanations
  using Large Language Models
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models
Sami Sarsa
Paul Denny
Arto Hellas
Juho Leinonen
ELM
89
342
0
03 Jun 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
306
11,909
0
04 Mar 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
8,448
0
28 Jan 2022
Math Word Problem Generation with Mathematical Consistency and Problem
  Context Constraints
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
Zichao Wang
Andrew S. Lan
Richard G. Baraniuk
52
45
0
09 Sep 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,587
0
18 Sep 2019
1