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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
On Memorization of Large Language Models in Logical Reasoning
On Memorization of Large Language Models in Logical Reasoning
Chulin Xie
Yangsibo Huang
Chiyuan Zhang
Da Yu
Xinyun Chen
Bill Yuchen Lin
Bo Li
Badih Ghazi
Ravi Kumar
LRM
400
92
0
30 Oct 2024
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A
  Neuro-Symbolic Approach
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach
Qingchuan Li
Jiatong Li
Tongxuan Liu
Yuting Zeng
Mingyue Cheng
Weizhe Huang
Qi Liu
LRMAI4CE
227
5
0
29 Oct 2024
Transformer-based Language Models for Reasoning in the Description Logic
  ALCQ
Transformer-based Language Models for Reasoning in the Description Logic ALCQ
Angelos Poulis
Eleni Tsalapati
Manolis Koubarakis
ReLMLRM
139
1
0
12 Oct 2024
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning TasksInternational Conference on Learning Representations (ICLR), 2024
Rushang Karia
Daniel Bramblett
D. Dobhal
Siddharth Srivastava
ELMLRM
244
2
0
11 Oct 2024
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific HypothesesInternational Conference on Learning Representations (ICLR), 2024
Zonglin Yang
Wanhao Liu
Ben Gao
Tong Xie
You Li
Wanli Ouyang
Soujanya Poria
Xiaoshi Zhong
Dongzhan Zhou
LRM
466
43
0
09 Oct 2024
Can Transformers Reason Logically? A Study in SAT Solving
Can Transformers Reason Logically? A Study in SAT Solving
Leyan Pan
Vijay Ganesh
Jacob Abernethy
Chris Esposo
Wenke Lee
ReLMLRM
295
10
0
09 Oct 2024
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Tongxuan Liu
Wenjiang Xu
Weizhe Huang
Yuting Zeng
Jiaxing Wang
Hailong Yang
Hailong Yang
Jing Li
LRMReLM
255
19
0
26 Sep 2024
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Jin Jiang
Yuchen Yan
Yang Liu
Yonggang Jin
Shuai Peng
Hao Fei
Xunliang Cai
Yixin Cao
Liangcai Gao
LRM
381
10
0
19 Sep 2024
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language
  Models
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Jiayi Gui
Yiming Liu
Jiale Cheng
Xiaotao Gu
Xiao-Yang Liu
Hongning Wang
Yuxiao Dong
Jie Tang
Minlie Huang
ELMLLMAGLRM
242
12
0
28 Aug 2024
Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Geonhee Kim
Marco Valentino
André Freitas
LRMAI4CE
244
11
0
16 Aug 2024
A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method
  for Legal Charge Prediction
A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Prediction
Jingyun Sun
Chi Wei
Yang Li
AILaw
125
1
0
05 Aug 2024
Attention Overflow: Language Model Input Blur during Long-Context
  Missing Items Recommendation
Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation
Damien Sileo
LRMRALM
135
2
0
18 Jul 2024
Reliable Reasoning Beyond Natural Language
Reliable Reasoning Beyond Natural Language
Nasim Borazjanizadeh
Steven T Piantadosi
LRMReLM
237
9
0
16 Jul 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
Haoze Song
SyDa
208
22
0
12 Jul 2024
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability
  of Large Language Models
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
Nisarg Patel
Mohith Kulkarni
Mihir Parmar
Aashna Budhiraja
Mutsumi Nakamura
Neeraj Varshney
Chitta Baral
ELMLRM
196
31
0
24 Jun 2024
First Heuristic Then Rational: Dynamic Use of Heuristics in Language
  Model Reasoning
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning
Yoichi Aoki
Keito Kudo
Tatsuki Kuribayashi
Shusaku Sone
Masaya Taniguchi
Keisuke Sakaguchi
Kentaro Inui
LRM
306
1
0
23 Jun 2024
DoubleDipper: Improving Long-Context LLMs via Context Recycling
DoubleDipper: Improving Long-Context LLMs via Context Recycling
Arie Cattan
Alon Jacovi
Alex Fabrikant
Jonathan Herzig
Roee Aharoni
...
Dror Marcus
Avinatan Hassidim
Yossi Matias
Idan Szpektor
Avi Caciularu
RALM
265
0
0
19 Jun 2024
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in
  Large Language Models
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Philipp Mondorf
Barbara Plank
HILMLRM
224
10
0
18 Jun 2024
Interactive Evolution: A Neural-Symbolic Self-Training Framework For
  Large Language Models
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
Fangzhi Xu
Qiushi Sun
Kanzhi Cheng
Jing Liu
Yu Qiao
Zhiyong Wu
LLMAG
154
8
0
17 Jun 2024
A Systematic Analysis of Large Language Models as Soft Reasoners: The
  Case of Syllogistic Inferences
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences
Leonardo Bertolazzi
Albert Gatt
Raffaella Bernardi
LRMELM
73
10
0
17 Jun 2024
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive
  Declarative Grammars
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars
Damien Sileo
LRMReLM
248
5
0
16 Jun 2024
DIEKAE: Difference Injection for Efficient Knowledge Augmentation and
  Editing of Large Language Models
DIEKAE: Difference Injection for Efficient Knowledge Augmentation and Editing of Large Language Models
Alessio Galatolo
Meriem Beloucif
Katie Winkle
133
0
0
15 Jun 2024
BABILong: Testing the Limits of LLMs with Long Context
  Reasoning-in-a-Haystack
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackNeural Information Processing Systems (NeurIPS), 2024
Yuri Kuratov
Aydar Bulatov
Petr Anokhin
Ivan Rodkin
Dmitry Sorokin
Artyom Sorokin
Andrey Kravchenko
RALMALMLRMReLMELM
214
130
0
14 Jun 2024
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional
  Chaining
Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
Shuqi Liu
Bowei He
Linqi Song
LRM
229
4
0
05 Jun 2024
Towards Rationality in Language and Multimodal Agents: A Survey
Towards Rationality in Language and Multimodal Agents: A Survey
Bowen Jiang
Yangxinyu Xie
Xiaomeng Wang
Yuan Yuan
Camillo J Taylor
Tanwi Mallick
Weijie J. Su
Camillo J. Taylor
Tanwi Mallick
LLMAG
266
12
0
01 Jun 2024
Hypothesis Testing Prompting Improves Deductive Reasoning in Large
  Language Models
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
Yitian Li
Jidong Tian
Hao He
Yaohui Jin
LRMReLM
138
4
0
09 May 2024
Logical Negation Augmenting and Debiasing for Prompt-based Methods
Logical Negation Augmenting and Debiasing for Prompt-based Methods
Yitian Li
Jidong Tian
Hao He
Yaohui Jin
142
0
0
08 May 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via
  Premise Removal Interventions
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions
Jordan Meadows
Tamsin James
André Freitas
ReLMLRMAI4CE
158
2
0
29 Apr 2024
Logic Agent: Enhancing Validity with Logic Rule Invocation
Logic Agent: Enhancing Validity with Logic Rule Invocation
Hanmeng Liu
Zhiyang Teng
Chaoli Zhang
Yue Zhang
LRMLLMAG
172
4
0
28 Apr 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability
  of Large Language Models
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar
Nisarg Patel
Neeraj Varshney
Mutsumi Nakamura
Man Luo
Santosh Mashetty
Arindam Mitra
Chitta Baral
LRMReLMELM
452
58
0
23 Apr 2024
A Survey on Deep Learning for Theorem Proving
A Survey on Deep Learning for Theorem Proving
Zhaoyu Li
Jialiang Sun
Logan Murphy
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Xian Zhang
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Xujie Si
LRM
244
45
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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 InferenceInternational Conference on Language Resources and Evaluation (LREC), 2024
Mokanarangan Thayaparan
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André Freitas
145
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Towards Generalizable and Faithful Logic Reasoning over Natural Language
  via Resolution Refutation
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution RefutationInternational Conference on Language Resources and Evaluation (LREC), 2024
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Xiao Ding
Li Du
Bibo Cai
Jin-Fang Gao
Ting Liu
Bing Qin
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176
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Reasoning in Transformers -- Mitigating Spurious Correlations and
  Reasoning Shortcuts
Reasoning in Transformers -- Mitigating Spurious Correlations and Reasoning Shortcuts
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Viktor Kjellberg
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95
3
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17 Mar 2024
A Logical Pattern Memory Pre-trained Model for Entailment Tree
  Generation
A Logical Pattern Memory Pre-trained Model for Entailment Tree GenerationInternational Conference on Language Resources and Evaluation (LREC), 2024
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189
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Benchmarking Large Language Models for Molecule Prediction Tasks
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Balancing Exploration and Exploitation in LLM using Soft RLLF for
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A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit
  Tasks in Public Health
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
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Harnessing Large Language Models as Post-hoc Correctors
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122
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Same Task, More Tokens: the Impact of Input Length on the Reasoning
  Performance of Large Language Models
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Alexander Khazatsky
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FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?
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LRM
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Conditional and Modal Reasoning in Large Language Models
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Maryam Fazel-Zarandi
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191
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