ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.02830
  4. Cited By
PRover: Proof Generation for Interpretable Reasoning over Rules

PRover: Proof Generation for Interpretable Reasoning over Rules

6 October 2020
Swarnadeep Saha
Sayan Ghosh
Shashank Srivastava
Joey Tianyi Zhou
    ReLM
    LRM
ArXivPDFHTML

Papers citing "PRover: Proof Generation for Interpretable Reasoning over Rules"

50 / 57 papers shown
Title
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant
  Human-Written Reasoning Chains
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
Simeng Han
Aaron Yu
Rui Shen
Zhenting Qi
Martin Riddell
...
Yingbo Zhou
Caiming Xiong
Dragomir R. Radev
Rex Ying
Arman Cohan
LRM
43
2
0
11 Oct 2024
A Survey on Symbolic Knowledge Distillation of Large Language Models
A Survey on Symbolic Knowledge Distillation of Large Language Models
Kamal Acharya
Alvaro Velasquez
H. Song
SyDa
41
5
0
12 Jul 2024
A Survey on Deep Learning for Theorem Proving
A Survey on Deep Learning for Theorem Proving
Zhaoyu Li
Jialiang Sun
Logan Murphy
Qidong Su
Zenan Li
Xian Zhang
Kaiyu Yang
Xujie Si
LRM
50
21
0
15 Apr 2024
A Differentiable Integer Linear Programming Solver for Explanation-Based
  Natural Language Inference
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference
Mokanarangan Thayaparan
Marco Valentino
André Freitas
23
0
0
03 Apr 2024
Towards Generalizable and Faithful Logic Reasoning over Natural Language
  via Resolution Refutation
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation
Zhouhao Sun
Xiao Ding
LI DU
Bibo Cai
Jin-Fang Gao
Ting Liu
Bing Qin
LRM
ReLM
34
0
0
02 Apr 2024
SEER: Facilitating Structured Reasoning and Explanation via
  Reinforcement Learning
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning
Guoxin Chen
Kexin Tang
Chao Yang
Fuying Ye
Yu Qiao
Yiming Qian
LRM
18
3
0
24 Jan 2024
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
Lasha Abzianidze
LRM
XAI
15
0
0
15 Nov 2023
Are LLMs Rigorous Logical Reasoner? Empowering Natural Language Proof
  Generation with Contrastive Stepwise Decoding
Are LLMs Rigorous Logical Reasoner? Empowering Natural Language Proof Generation with Contrastive Stepwise Decoding
Ying Su
Xiaojin Fu
Mingwen Liu
Zhijiang Guo
LRM
33
3
0
12 Nov 2023
GLoRE: Evaluating Logical Reasoning of Large Language Models
GLoRE: Evaluating Logical Reasoning of Large Language Models
Hanmeng Liu
Zhiyang Teng
Ruoxi Ning
Jian Liu
Qiji Zhou
Yuexin Zhang
Yue Zhang
ReLM
ELM
LRM
70
8
0
13 Oct 2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical
  Reasoning Capabilities of Language Models
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Man Luo
Shrinidhi Kumbhar
Ming shen
Mihir Parmar
Neeraj Varshney
Pratyay Banerjee
Somak Aditya
Chitta Baral
ReLM
ELM
LRM
45
25
0
02 Oct 2023
Dynamic MOdularized Reasoning for Compositional Structured Explanation
  Generation
Dynamic MOdularized Reasoning for Compositional Structured Explanation Generation
Xiyan Fu
Anette Frank
LRM
23
1
0
14 Sep 2023
Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
Terufumi Morishita
Gaku Morio
Atsuki Yamaguchi
Yasuhiro Sogawa
ReLM
LRM
AI4CE
ELM
27
22
0
11 Aug 2023
A Comprehensive Survey on Applications of Transformers for Deep Learning
  Tasks
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
Saidul Islam
Hanae Elmekki
Ahmed Elsebai
Jamal Bentahar
Najat Drawel
Gaith Rjoub
Witold Pedrycz
ViT
MedIm
24
171
0
11 Jun 2023
Explanation Graph Generation via Generative Pre-training over Synthetic
  Graphs
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs
H. Cui
Sha Li
Yu Zhang
Qi Shi
19
1
0
01 Jun 2023
Teaching Probabilistic Logical Reasoning to Transformers
Teaching Probabilistic Logical Reasoning to Transformers
Aliakbar Nafar
K. Venable
Parisa Kordjamshidi
ReLM
LRM
21
3
0
22 May 2023
Explicit Planning Helps Language Models in Logical Reasoning
Explicit Planning Helps Language Models in Logical Reasoning
Hongyu Zhao
Kangrui Wang
Mo Yu
Hongyuan Mei
LRM
ReLM
40
15
0
28 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
49
51
0
26 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
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models
  for Logical Reasoning
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
Soumya Sanyal
Yichong Xu
Shuohang Wang
Ziyi Yang
Reid Pryzant
W. Yu
Chenguang Zhu
Xiang Ren
ReLM
LRM
29
8
0
19 Dec 2022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text
  Generation
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
Swarnadeep Saha
Xinyan Velocity Yu
Joey Tianyi Zhou
Ramakanth Pasunuru
Asli Celikyilmaz
ReLM
LRM
25
10
0
16 Dec 2022
TRAC: A Textual Benchmark for Reasoning about Actions and Change
TRAC: A Textual Benchmark for Reasoning about Actions and Change
Weinan He
Canming Huang
Zhanhao Xiao
Yongmei Liu
LLMAG
ReLM
LRM
15
0
0
25 Nov 2022
RLET: A Reinforcement Learning Based Approach for Explainable QA with
  Entailment Trees
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
Tengxiao Liu
Qipeng Guo
Xiangkun Hu
Yue Zhang
Xipeng Qiu
Zheng-Wei Zhang
LRM
38
14
0
31 Oct 2022
ReasonChainQA: Text-based Complex Question Answering with Explainable
  Evidence Chains
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains
Minjun Zhu
Yixuan Weng
Shizhu He
Kang Liu
Jun Zhao
LRM
19
6
0
17 Oct 2022
Summarization Programs: Interpretable Abstractive Summarization with
  Neural Modular Trees
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
Swarnadeep Saha
Shiyue Zhang
Peter Hase
Joey Tianyi Zhou
26
19
0
21 Sep 2022
Generating Intermediate Steps for NLI with Next-Step Supervision
Generating Intermediate Steps for NLI with Next-Step Supervision
Deepanway Ghosal
Somak Aditya
Monojit Choudhury
LRM
35
1
0
31 Aug 2022
Faithful Reasoning Using Large Language Models
Faithful Reasoning Using Large Language Models
Antonia Creswell
Murray Shanahan
ReLM
LRM
21
121
0
30 Aug 2022
Going Beyond Approximation: Encoding Constraints for Explainable
  Multi-hop Inference via Differentiable Combinatorial Solvers
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers
Mokanarangan Thayaparan
Marco Valentino
André Freitas
16
0
0
05 Aug 2022
Unveiling Transformers with LEGO: a synthetic reasoning task
Unveiling Transformers with LEGO: a synthetic reasoning task
Yi Zhang
A. Backurs
Sébastien Bubeck
Ronen Eldan
Suriya Gunasekar
Tal Wagner
LRM
30
85
0
09 Jun 2022
NaturalProver: Grounded Mathematical Proof Generation with Language
  Models
NaturalProver: Grounded Mathematical Proof Generation with Language Models
Sean Welleck
Jiacheng Liu
Ximing Lu
Hannaneh Hajishirzi
Yejin Choi
AIMat
LRM
27
65
0
25 May 2022
Generating Natural Language Proofs with Verifier-Guided Search
Generating Natural Language Proofs with Verifier-Guided Search
Kaiyu Yang
Jia Deng
Danqi Chen
LRM
19
68
0
25 May 2022
Interpretable Proof Generation via Iterative Backward Reasoning
Interpretable Proof Generation via Iterative Backward Reasoning
Hanhao Qu
Yu Cao
Jun Gao
Liang Ding
Ruifeng Xu
LRM
143
15
0
22 May 2022
Selection-Inference: Exploiting Large Language Models for Interpretable
  Logical Reasoning
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell
Murray Shanahan
I. Higgins
ReLM
LRM
28
341
0
19 May 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer
  Explanation
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLM
LRM
32
32
0
05 May 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Logically Consistent Adversarial Attacks for Soft Theorem Provers
Alexander Gaskell
Yishu Miao
Lucia Specia
Francesca Toni
AAML
18
7
0
29 Apr 2022
A Review on Language Models as Knowledge Bases
A Review on Language Models as Knowledge Bases
Badr AlKhamissi
Millicent Li
Asli Celikyilmaz
Mona T. Diab
Marjan Ghazvininejad
KELM
41
175
0
12 Apr 2022
Explanation Graph Generation via Pre-trained Language Models: An
  Empirical Study with Contrastive Learning
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
11
9
0
11 Apr 2022
AbductionRules: Training Transformers to Explain Unexpected Inputs
AbductionRules: Training Transformers to Explain Unexpected Inputs
Nathan Young
Qiming Bao
Joshua Bensemann
Michael Witbrock
AI4CE
LRM
21
20
0
23 Mar 2022
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Soumya Sanyal
Harman Singh
Xiang Ren
ReLM
LRM
26
44
0
19 Mar 2022
Natural Language Deduction through Search over Statement Compositions
Natural Language Deduction through Search over Statement Compositions
Kaj Bostrom
Zayne Sprague
Swarat Chaudhuri
Greg Durrett
ReLM
LRM
27
46
0
16 Jan 2022
Pushing the Limits of Rule Reasoning in Transformers through Natural
  Language Satisfiability
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Kyle Richardson
Ashish Sabharwal
ReLM
LRM
30
24
0
16 Dec 2021
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Kaiyu Yang
Jia Deng
NAI
ReLM
LRM
19
13
0
23 Nov 2021
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained
  Neural Text2Text Language Models
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
Gregor Betz
Kyle Richardson
22
8
0
04 Oct 2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering
  Dataset
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
Qiyuan Zhang
Lei Wang
S. Yu
Shuohang Wang
Yang Wang
Jing Jiang
Ee-Peng Lim
AIMat
32
16
0
22 Sep 2021
Neural Unification for Logic Reasoning over Natural Language
Neural Unification for Logic Reasoning over Natural Language
Gabriele Picco
Hoang Thanh Lam
M. Sbodio
Vanessa Lopez Garcia
NAI
LRM
23
13
0
17 Sep 2021
Probabilistic Graph Reasoning for Natural Proof Generation
Probabilistic Graph Reasoning for Natural Proof Generation
Changzhi Sun
Xinbo Zhang
Jiangjie Chen
Chun Gan
Yuanbin Wu
Jiaze Chen
Hao Zhou
Lei Li
18
9
0
06 Jul 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in
  Rule Reasoning
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
ReLM
LRM
21
26
0
02 Jun 2021
Diff-Explainer: Differentiable Convex Optimization for Explainable
  Multi-hop Inference
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference
Mokanarangan Thayaparan
Marco Valentino
Deborah Ferreira
Julia Rozanova
André Freitas
30
11
0
07 May 2021
Towards General Natural Language Understanding with Probabilistic
  Worldbuilding
Towards General Natural Language Understanding with Probabilistic Worldbuilding
Abulhair Saparov
Tom Michael Mitchell
11
5
0
06 May 2021
Flexible Generation of Natural Language Deductions
Flexible Generation of Natural Language Deductions
Kaj Bostrom
Xinyu Zhao
Swarat Chaudhuri
Greg Durrett
ReLM
LRM
268
33
0
18 Apr 2021
Explaining Answers with Entailment Trees
Explaining Answers with Entailment Trees
Bhavana Dalvi
Peter Alexander Jansen
Oyvind Tafjord
Zhengnan Xie
Hannah Smith
Leighanna Pipatanangkura
Peter Clark
ReLM
FAtt
LRM
239
184
0
17 Apr 2021
12
Next