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NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional,
  and Explainable Reasoning
v1v2v3v4 (latest)

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning

16 September 2022
Nathaniel Weir
Peter Clark
Benjamin Van Durme
    ReLMNAILRM
ArXiv (abs)PDFHTML

Papers citing "NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning"

39 / 39 papers shown
Title
BF-Max: an Efficient Bit Flipping Decoder with Predictable Decoding Failure Rate
Alessio Baldelli
Marco Baldi
F. Chiaraluce
Paolo Santini
87
0
0
11 Jun 2025
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Yu Xia
Rui Wang
Xu Liu
Mingyan Li
Tong Yu
Xiang Chen
Julian McAuley
Shuai Li
LRM
107
22
0
24 Apr 2024
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining
  Language Models with First-Order Logic Provers
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Theo X. Olausson
Alex Gu
Benjamin Lipkin
Cedegao E. Zhang
Armando Solar-Lezama
Josh Tenenbaum
Roger Levy
LRMAI4CEReLM
140
119
0
23 Oct 2023
Faithful Chain-of-Thought Reasoning
Faithful Chain-of-Thought Reasoning
Qing Lyu
Shreya Havaldar
Adam Stein
Li Zhang
D. Rao
Eric Wong
Marianna Apidianaki
Chris Callison-Burch
ReLMLRM
119
228
0
31 Jan 2023
Rethinking with Retrieval: Faithful Large Language Model Inference
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He
Hongming Zhang
Dan Roth
KELMLRM
219
168
0
31 Dec 2022
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
Seyed Mehran Kazemi
Najoung Kim
Deepti Bhatia
Xinyuan Xu
Deepak Ramachandran
LRM
93
80
0
20 Dec 2022
Natural Language Deduction with Incomplete Information
Natural Language Deduction with Incomplete Information
Zayne Sprague
Kaj Bostrom
Swarat Chaudhuri
Greg Durrett
LRM
71
17
0
01 Nov 2022
Entailer: Answering Questions with Faithful and Truthful Chains of
  Reasoning
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
ReLMKELMLRM
130
54
0
21 Oct 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot
H. Trivedi
Matthew Finlayson
Yao Fu
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLMLRM
129
451
0
05 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
191
118
0
22 Sep 2022
Faithful Reasoning Using Large Language Models
Faithful Reasoning Using Large Language Models
Antonia Creswell
Murray Shanahan
ReLMLRM
64
125
0
30 Aug 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
AIMatLRM
75
73
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
99
72
0
25 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLMLRM
273
196
0
24 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
ReLMLRM
78
33
0
05 May 2022
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User
  Feedback for Continual System Improvement
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
Bhavana Dalvi
Oyvind Tafjord
Peter Clark
LRMKELMReLM
81
39
0
27 Apr 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
ReLMLRM
92
46
0
16 Jan 2022
Think about it! Improving defeasible reasoning by first modeling the
  question scenario
Think about it! Improving defeasible reasoning by first modeling the question scenario
Cencheng Shen
Niket Tandon
Ha Trinh
Peter Clark
Yiming Yang
Eduard H. Hovy
LRMReLM
93
31
0
24 Oct 2021
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and
  Symbolic Logic Rules
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
Forough Arabshahi
Jennifer Lee
Antoine Bosselut
Yejin Choi
Tom Michael Mitchell
LRM
67
17
0
17 Sep 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
95
10
0
07 May 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
ReLMFAttLRM
293
185
0
17 Apr 2021
ProofWriter: Generating Implications, Proofs, and Abductive Statements
  over Natural Language
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
92
277
0
24 Dec 2020
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical
  Explanations
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations
Aditya Kalyanpur
Tom Breloff
D. Ferrucci
51
18
0
26 Nov 2020
Learning to Explain: Datasets and Models for Identifying Valid Reasoning
  Chains in Multihop Question-Answering
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
Harsh Jhamtani
Peter Clark
LRM
87
71
0
07 Oct 2020
Text Modular Networks: Learning to Decompose Tasks in the Language of
  Existing Models
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
Tushar Khot
Daniel Khashabi
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLM
51
87
0
01 Sep 2020
Conversational Neuro-Symbolic Commonsense Reasoning
Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi
Jennifer Lee
Mikayla Gawarecki
Kathryn Mazaitis
A. Azaria
Tom Michael Mitchell
LRM
97
48
0
17 Jun 2020
Transformers as Soft Reasoners over Language
Transformers as Soft Reasoners over Language
Peter Clark
Oyvind Tafjord
Kyle Richardson
ReLMOffRLLRM
106
360
0
14 Feb 2020
Neural Module Networks for Reasoning over Text
Neural Module Networks for Reasoning over Text
Nitish Gupta
Kevin Lin
Dan Roth
Sameer Singh
Matt Gardner
NAIReLMLRM
73
132
0
10 Dec 2019
Quick and (not so) Dirty: Unsupervised Selection of Justification
  Sentences for Multi-hop Question Answering
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
Vikas Yadav
Steven Bethard
Mihai Surdeanu
123
77
0
17 Nov 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,301
0
27 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
668
5,839
0
25 Jul 2019
Neural Probabilistic Logic Programming in DeepProbLog
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
97
561
0
18 Jul 2019
NLProlog: Reasoning with Weak Unification for Question Answering in
  Natural Language
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
Leon Weber
Pasquale Minervini
Jannes Munchmeyer
Ulf Leser
Tim Rocktaschel
NAILRM
46
96
0
14 Jun 2019
On the Possibilities and Limitations of Multi-hop Reasoning Under
  Linguistic Imperfections
On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections
Daniel Khashabi
Erfan Sadeqi Azer
Tushar Khot
Ashish Sabharwal
Dan Roth
LRM
42
8
0
08 Jan 2019
Exploiting Explicit Paths for Multi-hop Reading Comprehension
Exploiting Explicit Paths for Multi-hop Reading Comprehension
Souvik Kundu
Tushar Khot
Ashish Sabharwal
Peter Clark
97
51
0
02 Nov 2018
Transforming Question Answering Datasets Into Natural Language Inference
  Datasets
Transforming Question Answering Datasets Into Natural Language Inference Datasets
Dorottya Demszky
Kelvin Guu
Percy Liang
74
162
0
09 Sep 2018
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
257
3,737
0
28 Feb 2017
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj
Daniel Fernando Campos
Nick Craswell
Li Deng
Jianfeng Gao
...
Mir Rosenberg
Xia Song
Alina Stoica
Saurabh Tiwary
Tong Wang
RALM
156
2,744
0
28 Nov 2016
Neural Module Networks
Neural Module Networks
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
CoGe
139
1,076
0
09 Nov 2015
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