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Large Language Models can Learn Rules

Large Language Models can Learn Rules

10 October 2023
Zhaocheng Zhu
Yuan Xue
Xinyun Chen
Denny Zhou
Jian Tang
Dale Schuurmans
Hanjun Dai
    LRM
    ReLM
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Papers citing "Large Language Models can Learn Rules"

50 / 54 papers shown
Title
DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning
DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning
Borui Wang
Kathleen McKeown
Rex Ying
OffRL
32
0
0
06 May 2025
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
Quang P.M. Pham
Khoi T.N. Nguyen
Nhi H. Doan
Cuong Pham
Kentaro Inui
Dezhen Song
54
0
0
01 May 2025
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Siyu Zhou
Tianyi Zhou
Yijun Yang
Guodong Long
Deheng Ye
Jing Jiang
Chengqi Zhang
LM&Ro
27
0
0
22 Apr 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Zhanke Zhou
Zhaocheng Zhu
Xuan Li
Mikhail Galkin
Xiao Feng
Sanmi Koyejo
Jian Tang
Bo Han
LRM
56
0
0
28 Mar 2025
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
Nikhil Abhyankar
Parshin Shojaee
Chandan K. Reddy
61
0
0
18 Mar 2025
Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge
Xiao Liu
Zirui Wu
Jiayi Li
Zhicheng Shao
Xun Pang
Yansong Feng
55
0
0
03 Mar 2025
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
Albert Gong
Kamilė Stankevičiūtė
Chao-gang Wan
Anmol Kabra
Raphael Thesmar
Johann Lee
Julius Klenke
Carla P. Gomes
Kilian Q. Weinberger
RALM
LRM
60
0
0
27 Feb 2025
AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
Ziyi Tang
Z. Chen
Jiarui Yang
Jiayao Mai
Yongsen Zheng
Keze Wang
Jinrui Chen
Liang Lin
AIFin
38
0
0
24 Feb 2025
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Tianzhe Chu
Yuexiang Zhai
Jihan Yang
Shengbang Tong
Saining Xie
Dale Schuurmans
Quoc V. Le
Sergey Levine
Yi-An Ma
OffRL
70
53
0
28 Jan 2025
On the Role of Model Prior in Real-World Inductive Reasoning
On the Role of Model Prior in Real-World Inductive Reasoning
Zhuo Liu
Ding Yu
Hangfeng He
LRM
74
0
0
18 Dec 2024
RuAG: Learned-rule-augmented Generation for Large Language Models
RuAG: Learned-rule-augmented Generation for Large Language Models
Yudi Zhang
Pei Xiao
Lu Wang
C. Zhang
Meng Fang
...
Qingwei Lin
Mykola Pechenizkiy
Dongmei Zhang
Saravan Rajmohan
Qi Zhang
LRM
38
0
0
04 Nov 2024
Declarative Knowledge Distillation from Large Language Models for Visual
  Question Answering Datasets
Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasets
Thomas Eiter
Jan Hadl
N. Higuera
J. Oetsch
16
0
0
12 Oct 2024
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM
  Agents
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents
Siyu Zhou
Tianyi Zhou
Yijun Yang
Guodong Long
Deheng Ye
Jing Jiang
Chengqi Zhang
LLMAG
LM&Ro
17
3
0
09 Oct 2024
Deeper Insights Without Updates: The Power of In-Context Learning Over
  Fine-Tuning
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
Qingyu Yin
Xuzheng He
Luoao Deng
Chak Tou Leong
Fan Wang
Yanzhao Yan
Xiaoyu Shen
Qiang Zhang
37
2
0
07 Oct 2024
RAGProbe: An Automated Approach for Evaluating RAG Applications
RAGProbe: An Automated Approach for Evaluating RAG Applications
Shangeetha Sivasothy
Scott Barnett
Stefanus Kurniawan
Zafaryab Rasool
Rajesh Vasa
20
5
0
24 Sep 2024
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs
  with Retrieval-Augmented Context for Guided Clinical Decision Making
HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making
Sumera Anjum
Hanzhi Zhang
Wenjun Zhou
Eun Jin Paek
Xiaopeng Zhao
Yunhe Feng
18
1
0
16 Sep 2024
Symbolic Working Memory Enhances Language Models for Complex Rule
  Application
Symbolic Working Memory Enhances Language Models for Complex Rule Application
Siyuan Wang
Zhongyu Wei
Yejin Choi
Xiang Ren
LRM
LLMAG
31
9
0
24 Aug 2024
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
Guojin Chen
Haoyu Yang
Bei Yu
Haoxing Ren
37
0
0
23 Aug 2024
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting
Emmanuel Aboah Boateng
Cassiano O. Becker
Nabiha Asghar
Kabir Walia
Ashwin Srinivasan
Ehi Nosakhare
Victor Dibia
Soundar Srinivasan
LRM
31
0
0
18 Aug 2024
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction
  Based on Large Language Model
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
Xuanqing Yu
Wangtao Sun
Jingwei Li
Kang Liu
Chengbao Liu
Jie Tan
OffRL
AI4TS
23
3
0
14 Aug 2024
Neurosymbolic Methods for Rule Mining
Neurosymbolic Methods for Rule Mining
Agnieszka Lawrynowicz
Luis Galarraga
Mehwish Alam
Berenice Jaulmes
Václav Zeman
Tomáš Kliegr
21
0
0
11 Aug 2024
Enhancing Agent Learning through World Dynamics Modeling
Enhancing Agent Learning through World Dynamics Modeling
Zhiyuan Sun
Haochen Shi
Marc-Alexandre Côté
Glen Berseth
Xingdi Yuan
Bang Liu
47
3
0
25 Jul 2024
Follow the Rules: Reasoning for Video Anomaly Detection with Large
  Language Models
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
Yuchen Yang
Kwonjoon Lee
Behzad Dariush
Yinzhi Cao
Shao-Yuan Lo
LRM
34
11
0
14 Jul 2024
Beyond Instruction Following: Evaluating Inferential Rule Following of
  Large Language Models
Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
Wangtao Sun
Chenxiang Zhang
Xueyou Zhang
Ziyang Huang
Haotian Xu
Pei Chen
Shizhu He
Jun Zhao
Kang-Jun Liu
ELM
LRM
28
0
0
11 Jul 2024
AutoManual: Generating Instruction Manuals by LLM Agents via Interactive
  Environmental Learning
AutoManual: Generating Instruction Manuals by LLM Agents via Interactive Environmental Learning
Minghao Chen
Yihang Li
Yanting Yang
Shiyu Yu
Binbin Lin
Xiaofei He
LLMAG
36
0
0
25 May 2024
METAREFLECTION: Learning Instructions for Language Agents using Past
  Reflections
METAREFLECTION: Learning Instructions for Language Agents using Past Reflections
Priyanshu Gupta
Shashank Kirtania
Ananya Singha
Sumit Gulwani
Arjun Radhakrishna
Sherry Shi
Gustavo Soares
LLMAG
27
4
0
13 May 2024
Integrating Intent Understanding and Optimal Behavior Planning for
  Behavior Tree Generation from Human Instructions
Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions
Xinglin Chen
Yishuai Cai
Yunxin Mao
Minglong Li
Wenjing Yang
Weixia Xu
Ji Wang
32
6
0
13 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
37
14
0
29 Apr 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional
  Dialogues
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
Jiao Ou
Jiayu Wu
Che Liu
Fuzheng Zhang
Di Zhang
Kun Gai
19
2
0
17 Apr 2024
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in
  Large Language Models
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models
Emmy Liu
Graham Neubig
Jacob Andreas
ReLM
LRM
35
6
0
03 Apr 2024
Accelerating Radio Spectrum Regulation Workflows with Large Language
  Models (LLMs)
Accelerating Radio Spectrum Regulation Workflows with Large Language Models (LLMs)
Amir Ghasemi
Paul Guinand
20
1
0
26 Mar 2024
Quiet-STaR: Language Models Can Teach Themselves to Think Before
  Speaking
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
E. Zelikman
Georges Harik
Yijia Shao
Varuna Jayasiri
Nick Haber
Noah D. Goodman
LLMAG
ReLM
LRM
47
108
0
14 Mar 2024
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic
  Manipulations With Large Language Models
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
Liangliang Chen
Yutian Lei
Shiyu Jin
Ying Zhang
Liangjun Zhang
LM&Ro
35
8
0
11 Mar 2024
ItD: Large Language Models Can Teach Themselves Induction through
  Deduction
ItD: Large Language Models Can Teach Themselves Induction through Deduction
Wangtao Sun
Haotian Xu
Xuanqing Yu
Pei Chen
Shizhu He
Jun Zhao
Kang Liu
LRM
27
9
0
09 Mar 2024
Brain-Inspired Two-Stage Approach: Enhancing Mathematical Reasoning by
  Imitating Human Thought Processes
Brain-Inspired Two-Stage Approach: Enhancing Mathematical Reasoning by Imitating Human Thought Processes
Yezeng Chen
Zui Chen
Yi Zhou
LRM
26
2
0
23 Feb 2024
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and
  Improving LLMs
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
Siyuan Wang
Zhongyu Wei
Yejin Choi
Xiang Ren
ReLM
ELM
LRM
11
19
0
18 Feb 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
144
99
0
15 Feb 2024
Premise Order Matters in Reasoning with Large Language Models
Premise Order Matters in Reasoning with Large Language Models
Xinyun Chen
Ryan A. Chi
Xuezhi Wang
Denny Zhou
ReLM
LRM
33
26
0
14 Feb 2024
Three Pathways to Neurosymbolic Reinforcement Learning with
  Interpretable Model and Policy Networks
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Peter Graf
Patrick Emami
11
2
0
07 Feb 2024
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Nate Gruver
Anuroop Sriram
Andrea Madotto
A. Wilson
C. L. Zitnick
Zachary W. Ulissi
20
55
0
06 Feb 2024
Large Language Models Can Learn Temporal Reasoning
Large Language Models Can Learn Temporal Reasoning
Siheng Xiong
Ali Payani
Ramana Rao Kompella
Faramarz Fekri
LRM
27
73
0
12 Jan 2024
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering
  with LLMs
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
Zijie Meng
Yan Zhang
Zhaopeng Feng
Zuozhu Liu
LRM
22
4
0
10 Jan 2024
Can LLMs Follow Simple Rules?
Can LLMs Follow Simple Rules?
Norman Mu
Sarah Chen
Zifan Wang
Sizhe Chen
David Karamardian
Lulwa Aljeraisy
Basel Alomair
Dan Hendrycks
David A. Wagner
ALM
18
26
0
06 Nov 2023
How Language Model Hallucinations Can Snowball
How Language Model Hallucinations Can Snowball
Muru Zhang
Ofir Press
William Merrill
Alisa Liu
Noah A. Smith
HILM
LRM
78
252
0
22 May 2023
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
227
2,989
0
22 Mar 2023
Logical Reasoning over Natural Language as Knowledge Representation: A
  Survey
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
Zonglin Yang
Xinya Du
Rui Mao
Jinjie Ni
Erik Cambria
LRM
ReLM
21
24
0
21 Mar 2023
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
116
274
0
03 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Shengyao Lu
Bang Liu
Keith G. Mills
Shangling Jui
Di Niu
AI4TS
19
8
0
13 May 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
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