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Quiet-STaR: Language Models Can Teach Themselves to Think Before
  Speaking

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

14 March 2024
E. Zelikman
Georges Harik
Yijia Shao
Varuna Jayasiri
Nick Haber
Noah D. Goodman
    LLMAG
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking"

24 / 24 papers shown
Title
UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces
UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces
Alaa Saleh
Sasu Tarkoma
Praveen Kumar Donta
Naser Hossein Motlagh
Schahram Dustdar
Susanna Pirttikangas
Lauri Lovén
39
0
0
01 May 2025
Efficient Pretraining Length Scaling
Efficient Pretraining Length Scaling
Bohong Wu
Shen Yan
Sijun Zhang
Jianqiao Lu
Yutao Zeng
Ya Wang
Xun Zhou
32
0
0
21 Apr 2025
Teaching Large Language Models to Reason through Learning and Forgetting
Teaching Large Language Models to Reason through Learning and Forgetting
Tianwei Ni
Allen Nie
Sapana Chaudhary
Yao Liu
Huzefa Rangwala
Rasool Fakoor
ReLM
CLL
LRM
34
0
0
15 Apr 2025
Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models?
Kun Xiang
Zhili Liu
Zihao Jiang
Yunshuang Nie
Kaixin Cai
...
Yu-Jie Yuan
J. Han
Lanqing Hong
Hang Xu
Xiaodan Liang
ReLM
LRM
49
6
0
08 Mar 2025
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
45
0
0
04 Feb 2025
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Zehan Qi
Xiao-Chang Liu
Iat Long Iong
Hanyu Lai
X. Sun
...
Shuntian Yao
Tianjie Zhang
Wei Xu
J. Tang
Yuxiao Dong
88
14
0
28 Jan 2025
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models
Michael Toker
Ido Galil
Hadas Orgad
Rinon Gal
Yoad Tewel
Gal Chechik
Yonatan Belinkov
DiffM
49
2
0
12 Jan 2025
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
Markus J. Buehler
AI4CE
35
1
0
04 Jan 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALM
LRM
76
207
0
03 Jan 2025
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
Fu-Chieh Chang
Yu-Ting Lee
Hui-Ying Shih
Pei-Yuan Wu
Pei-Yuan Wu
OffRL
LRM
62
0
0
31 Oct 2024
ToW: Thoughts of Words Improve Reasoning in Large Language Models
ToW: Thoughts of Words Improve Reasoning in Large Language Models
Zhikun Xu
Ming shen
Jacob Dineen
Zhaonan Li
Xiao Ye
Shijie Lu
Aswin Rrv
Chitta Baral
Ben Zhou
LRM
38
1
0
21 Oct 2024
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
S. Gorti
Ilan Gofman
Zhaoyan Liu
Jiapeng Wu
Noël Vouitsis
Guangwei Yu
Jesse C. Cresswell
Rasa Hosseinzadeh
SyDa
41
6
0
16 Oct 2024
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
Jipeng Han
25
0
0
02 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Jinghan Li
Zhicheng Sun
Fei Li
68
1
0
02 Oct 2024
Scaling Large Language Model-based Multi-Agent Collaboration
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian
Zihao Xie
YiFei Wang
Wei Liu
Yufan Dang
...
Zhuoyun Du
Weize Chen
Cheng Yang
Zhiyuan Liu
Maosong Sun
AI4CE
LLMAG
LM&Ro
52
42
0
11 Jun 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
135
97
0
15 Feb 2024
Feedback Loops With Language Models Drive In-Context Reward Hacking
Feedback Loops With Language Models Drive In-Context Reward Hacking
Alexander Pan
Erik Jones
Meena Jagadeesan
Jacob Steinhardt
KELM
42
25
0
09 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
14
0
30 Jan 2024
FireAct: Toward Language Agent Fine-tuning
FireAct: Toward Language Agent Fine-tuning
Baian Chen
Chang Shu
Ehsan Shareghi
Nigel Collier
Karthik Narasimhan
Shunyu Yao
ALM
LLMAG
96
96
0
09 Oct 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
198
283
0
03 May 2023
Learning to Reason and Memorize with Self-Notes
Learning to Reason and Memorize with Self-Notes
Jack Lanchantin
Shubham Toshniwal
Jason Weston
Arthur Szlam
Sainbayar Sukhbaatar
ReLM
LRM
LLMAG
85
27
0
01 May 2023
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
8,261
0
28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
228
306
0
21 Aug 2019
1