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Transformers as Soft Reasoners over Language
v1v2 (latest)

Transformers as Soft Reasoners over Language

International Joint Conference on Artificial Intelligence (IJCAI), 2020
14 February 2020
Peter Clark
Oyvind Tafjord
Kyle Richardson
    ReLMOffRLLRM
ArXiv (abs)PDFHTML

Papers citing "Transformers as Soft Reasoners over Language"

50 / 256 papers shown
Title
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
Haiyu Wu
Sicong Tian
Huayu Li
Kevin W. Bowyer
165
4
0
19 Nov 2023
Think Twice: Perspective-Taking Improves Large Language Models'
  Theory-of-Mind Capabilities
Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities
Alex Wilf
Sihyun Shawn Lee
Paul Pu Liang
Louis-Philippe Morency
LRM
281
75
0
16 Nov 2023
Transformers in the Service of Description Logic-based Contexts
Transformers in the Service of Description Logic-based ContextsInternational Conference Knowledge Engineering and Knowledge Management (EKAW), 2023
Angelos Poulis
Eleni Tsalapati
Manolis Koubarakis
LRMReLM
225
0
0
15 Nov 2023
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
LRMXAI
262
0
0
15 Nov 2023
A Closer Look at the Self-Verification Abilities of Large Language
  Models in Logical Reasoning
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical ReasoningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Ruixin Hong
Hongming Zhang
Xinyu Pang
Dong Yu
Changshui Zhang
LRM
191
42
0
14 Nov 2023
Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning
Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning
Ying Su
Mingwen Liu
Mingwen Liu
LRM
165
3
0
12 Nov 2023
Language Models can be Logical Solvers
Language Models can be Logical Solvers
Jiazhan Feng
Ruochen Xu
Junheng Hao
Hiteshi Sharma
Haoran Pan
Dongyan Zhao
Weizhu Chen
ReLMLRMELM
233
30
0
10 Nov 2023
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with
  Structured Self-Attention
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-AttentionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Negar Foroutan
Mohammadreza Banaei
Karl Aberer
Antoine Bosselut
LRM
161
6
0
23 Oct 2023
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study
  on Syllogism
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on SyllogismConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mengyu Ye
Tatsuki Kuribayashi
Jun Suzuki
Goro Kobayashi
Hiroaki Funayama
LRM
213
10
0
23 Oct 2023
Multi-stage Large Language Model Correction for Speech Recognition
Multi-stage Large Language Model Correction for Speech Recognition
Jie Pu
Thai-Son Nguyen
Sebastian Stüker
LRM
266
14
0
17 Oct 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
ReLMELMLRM
338
8
0
13 Oct 2023
KwaiYiiMath: Technical Report
KwaiYiiMath: Technical Report
Jia-Yi Fu
Lei Lin
Xiaoyang Gao
Pengli Liu
Zhengzong Chen
...
Zijia Lin
Fuzheng Zhang
Zhongyuan Wang
Chen Zhang
Kun Gai
LRMReLMRALM
266
3
0
11 Oct 2023
Large Language Models can Learn Rules
Large Language Models can Learn Rules
Zhaocheng Zhu
Yuan Xue
Xinyun Chen
Denny Zhou
Jian Tang
Dale Schuurmans
Hanjun Dai
LRMReLM
317
86
0
10 Oct 2023
Talk like a Graph: Encoding Graphs for Large Language Models
Talk like a Graph: Encoding Graphs for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Bahare Fatemi
Jonathan J. Halcrow
Bryan Perozzi
AI4CE
282
162
0
06 Oct 2023
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Concise and Organized Perception Facilitates Reasoning in Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Junjie Liu
Shaotian Yan
Chen Shen
Zhengdong Xiao
Wenxiao Wang
Jieping Ye
Jieping Ye
LRM
295
1
0
05 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
ReLMELMLRM
396
43
0
02 Oct 2023
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
DyVal: Dynamic Evaluation of Large Language Models for Reasoning TasksInternational Conference on Learning Representations (ICLR), 2023
A. Maritan
Jiaao Chen
S. Dey
Luca Schenato
Diyi Yang
Xing Xie
ELMLRM
407
78
0
29 Sep 2023
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with
  Reliability Evaluation
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
Srija Macherla
Man Luo
Mihir Parmar
Chitta Baral
178
8
0
16 Aug 2023
Through the Lens of Core Competency: Survey on Evaluation of Large
  Language Models
Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsChina National Conference on Chinese Computational Linguistics (CNCCL), 2023
Ziyu Zhuang
Qiguang Chen
Longxuan Ma
Mingda Li
Yi Han
Yushan Qian
Haopeng Bai
Zixian Feng
Weinan Zhang
Ting Liu
ELM
185
23
0
15 Aug 2023
Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
Learning Deductive Reasoning from Synthetic Corpus based on Formal LogicInternational Conference on Machine Learning (ICML), 2023
Terufumi Morishita
Gaku Morio
Atsuki Yamaguchi
Yasuhiro Sogawa
ReLMLRMAI4CEELM
223
37
0
11 Aug 2023
Towards Controllable Natural Language Inference through Lexical
  Inference Types
Towards Controllable Natural Language Inference through Lexical Inference Types
Yingji Zhang
Danilo S. Carvalho
Ian Pratt-Hartmann
André Freitas
223
2
0
07 Aug 2023
Reasoning or Reciting? Exploring the Capabilities and Limitations of
  Language Models Through Counterfactual Tasks
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual TasksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Zhaofeng Wu
Linlu Qiu
Alexis Ross
Ekin Akyürek
Boyuan Chen
Bailin Wang
Najoung Kim
Jacob Andreas
Yoon Kim
LRMReLM
402
294
0
05 Jul 2023
Are Large Language Models Really Good Logical Reasoners? A Comprehensive
  Evaluation and Beyond
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Fangzhi Xu
Qika Lin
Jiawei Han
Tianzhe Zhao
Jun Liu
Xiaoshi Zhong
ELMLRM
336
71
0
16 Jun 2023
Revealing the structure of language model capabilities
Revealing the structure of language model capabilities
Ryan Burnell
Hank Hao
Andrew R. A. Conway
José Hernández-Orallo
ELM
156
29
0
14 Jun 2023
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory
  Information
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory InformationNeural Information Processing Systems (NeurIPS), 2023
Mehran Kazemi
Quan Yuan
Deepti Bhatia
Najoung Kim
Xin Xu
Vaiva Imbrasaite
Deepak Ramachandran
LRM
232
59
0
13 Jun 2023
A Comprehensive Survey on Applications of Transformers for Deep Learning
  Tasks
A Comprehensive Survey on Applications of Transformers for Deep Learning TasksExpert systems with applications (ESWA), 2023
Saidul Islam
Hanae Elmekki
Ahmed Elsebai
Jamal Bentahar
Najat Drawel
Gaith Rjoub
Witold Pedrycz
ViTMedIm
203
358
0
11 Jun 2023
Examining the Emergence of Deductive Reasoning in Generative Language
  Models
Examining the Emergence of Deductive Reasoning in Generative Language Models
Peter Belcak
Luca A. Lanzendörfer
Roger Wattenhofer
ReLMELMLRMAI4CE
135
0
0
31 May 2023
Large Language Models Are Not Strong Abstract Reasoners
Large Language Models Are Not Strong Abstract ReasonersInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Gaël Gendron
Qiming Bao
Michael Witbrock
Gillian Dobbie
ELMLRM
306
62
0
31 May 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on CompositionalityNeural Information Processing Systems (NeurIPS), 2023
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLMLRM
454
484
0
29 May 2023
Harnessing the Power of Large Language Models for Natural Language to
  First-Order Logic Translation
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuan Yang
Siheng Xiong
Ali Payani
Ehsan Shareghi
Faramarz Fekri
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150
68
0
24 May 2023
Teaching Probabilistic Logical Reasoning to Transformers
Teaching Probabilistic Logical Reasoning to TransformersFindings (Findings), 2023
Aliakbar Nafar
Kristen Brent Venable
Parisa Kordjamshidi
ReLMLRM
287
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22 May 2023
A Symbolic Framework for Evaluating Mathematical Reasoning and
  Generalisation with Transformers
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with TransformersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Jordan Meadows
Marco Valentino
Damien Teney
André Freitas
214
12
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21 May 2023
Logic-LM: Empowering Large Language Models with Symbolic Solvers for
  Faithful Logical Reasoning
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Liangming Pan
Alon Albalak
Xinyi Wang
William Yang Wang
ReLMLRMAI4CE
383
404
0
20 May 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting
  for Reasoning Skills of Large Language Models
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
Badr AlKhamissi
Siddharth Verma
Ping Yu
Zhijing Jin
Asli Celikyilmaz
Mona T. Diab
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176
12
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19 May 2023
RECKONING: Reasoning through Dynamic Knowledge Encoding
RECKONING: Reasoning through Dynamic Knowledge EncodingNeural Information Processing Systems (NeurIPS), 2023
Zeming Chen
Gail Weiss
E. Mitchell
Asli Celikyilmaz
Antoine Bosselut
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295
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Say What You Mean! Large Language Models Speak Too Positively about
  Negative Commonsense Knowledge
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiangjie Chen
Wei Shi
Ziquan Fu
Sijie Cheng
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Yanghua Xiao
228
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10 May 2023
MindGames: Targeting Theory of Mind in Large Language Models with
  Dynamic Epistemic Modal Logic
MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal LogicConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Damien Sileo
Antoine Lernould
LRM
149
31
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05 May 2023
Improved Logical Reasoning of Language Models via Differentiable
  Symbolic Programming
Improved Logical Reasoning of Language Models via Differentiable Symbolic ProgrammingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Hanlin Zhang
Jiani Huang
Ziyang Li
Mayur Naik
Eric P. Xing
ReLMLRM
229
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05 May 2023
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using
  Continual Learning
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual LearningInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2023
Sofoklis Kyriakopoulos
Artur Garcez
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148
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Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning
  Framework that Supports Diverse Compositional Reasoning
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Zhengzhong Liang
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Mihai Surdeanu
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206
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REFINER: Reasoning Feedback on Intermediate Representations
REFINER: Reasoning Feedback on Intermediate RepresentationsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
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ReLMLRM
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Mastering Symbolic Operations: Augmenting Language Models with Compiled
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Chain-of-Thought Predictive Control
Chain-of-Thought Predictive ControlInternational Conference on Machine Learning (ICML), 2023
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471
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Explicit Planning Helps Language Models in Logical Reasoning
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Hongyu Zhao
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356
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Natural Language Reasoning, A Survey
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Logical Reasoning over Natural Language as Knowledge Representation: A
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Zonglin Yang
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155
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Does Deep Learning Learn to Abstract? A Systematic Probing Framework
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Shengnan An
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GLUECons: A Generic Benchmark for Learning Under Constraints
GLUECons: A Generic Benchmark for Learning Under ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2023
Hossein Rajaby Faghihi
Aliakbar Nafar
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Andrzej Uszok
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Tanawan Premsri
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Parisa Kordjamshidi
ELMVLM
220
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Do Deep Neural Networks Capture Compositionality in Arithmetic
  Reasoning?
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Keito Kudo
Yoichi Aoki
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Ana Brassard
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STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
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D. Ribeiro
Shen Wang
Xiaofei Ma
He Zhu
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Zhiheng Huang
George Karypis
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LRMReLM
137
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