Paul Smolensky

78 papers A* 12B 6C 1Journal 44Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks. J. Artif. Intell. Res. Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Adam Davies, Jianfeng Gao
2025	J	`jnl`	TRA: Better Length Generalisation with Threshold Relative Attention. CoRR Mattia Opper, Roland Fernandez, Paul Smolensky, Jianfeng Gao
2025	J	`jnl`	TRA: Better Length Generalisation with Threshold Relative Attention. Trans. Mach. Learn. Res. Mattia Opper, Roland Fernandez, Paul Smolensky, Jianfeng Gao
2024	A*	`conf`	Compositional Generalization Across Distributional Shifts with Sparse Tree Operations. NeurIPS Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez
2024	J	`jnl`	Compositional Generalization Across Distributional Shifts with Sparse Tree Operations. CoRR Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez
2024	J	`jnl`	Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks. CoRR Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Jianfeng Gao
2024	B	`conf`	Structural Generalization of Modification in Adult Learners of an Artificial Language. CogSci Najoung Kim, Paul Smolensky
2024	A*	`conf`	Toward Compositional Behavior in Neural Models: A Survey of Current Views. EMNLP Kate McCurdy, Paul Soulos, Paul Smolensky, Roland Fernandez, Jianfeng Gao
2023	A*	`conf`	Differentiable Tree Operations Promote Compositional Generalization. ICML Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
2023	J	`jnl`	Differentiable Tree Operations Promote Compositional Generalization. CoRR Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao
2023	J	`jnl`	How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. Trans. Assoc. Comput. Linguistics R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz
2023	J	`jnl`	Implicit Chain of Thought Reasoning via Knowledge Distillation. CoRR Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart M. Shieber
2022	J	`jnl`	Neurocompositional Computing: From the Central Paradox of Cognition to a New Generation of AI Systems. AI Mag. Paul Smolensky, Richard Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao
2022	J	`jnl`	Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. CoRR Paul Smolensky, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao
2022	J	`jnl`	PIPS: A Parallel Planning Model of Sentence Production. Cogn. Sci. Laurel Brehm, Pyeong Whan Cho, Paul Smolensky, Matthew A. Goldrick
2022	J	`jnl`	Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. CoRR Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky
2022	J	`jnl`	Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models. CoRR Najoung Kim, Tal Linzen, Paul Smolensky
2021	J	`jnl`	Compositional Processing Emerges in Neural Networks Solving Math Problems. CoRR Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao
2021	B	`conf`	Compositional processing emerges in neural networks solving math problems. CogSci Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao
2021	J	`jnl`	Distributed neural encoding of binding to thematic roles. CoRR Matthias Lalisse, Paul Smolensky
2021	—	`conf`	Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. NAACL-HLT Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao
2021	J	`jnl`	Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. CoRR Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao
2021	J	`jnl`	How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN. CoRR R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz
2021	B	`conf`	Infinite use of finite means? Evaluating the generalization of center embedding learned from an artificial grammar. CogSci Richard Thomas McCoy, Jennifer Culbertson, Paul Smolensky, Geraldine Legendre
2021	J	`jnl`	Scalable knowledge base completion with superposition memories. CoRR Matthias Lalisse, Eric Rosen, Paul Smolensky
2020	—	`conf`	Discovering the Compositional Structure of Vector Representations with Role Learning Networks. BlackboxNLP@EMNLP Paul Soulos, R. Thomas McCoy, Tal Linzen, Paul Smolensky
2020	B	`conf`	Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme. COLING Coleman Haley, Paul Smolensky
2020	A*	`conf`	Mapping natural-language problems to formal-language solutions using structured neural representations. ICML Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
2020	J	`jnl`	Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. CoRR Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang
2020	B	`conf`	Universal linguistic inductive biases via meta-learning. CogSci Richard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen
2020	J	`jnl`	Universal linguistic inductive biases via meta-learning. CoRR R. Thomas McCoy, Erin Grant, Paul Smolensky, Thomas L. Griffiths, Tal Linzen
2019	J	`jnl`	Discovering the Compositional Structure of Vector Representations with Role Learning Networks. CoRR Paul Soulos, Tom McCoy, Tal Linzen, Paul Smolensky
2019	J	`jnl`	Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. CoRR Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao
2019	J	`jnl`	HUBERT Untangles BERT to Improve Transfer across NLP Tasks. CoRR Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao
2019	J	`jnl`	Natural- to formal-language generation using Tensor Product Representations. CoRR Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
2019	A*	`conf`	Predicting the Argumenthood of English Prepositional Phrases. AAAI Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky
2019	—	`conf`	RNNs implicitly implement tensor-product representations. ICLR (Poster) R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
2018	J	`jnl`	Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations. CoRR Matthias Lalisse, Paul Smolensky
2018	J	`jnl`	Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation. CoRR Paul F. Tupper, Paul Smolensky, Pyeong Whan Cho
2018	—	`conf`	Dynamic encoding of structural uncertainty in gradient symbols. CMCL Pyeong Whan Cho, Matthew Goldrick, Richard L. Lewis, Paul Smolensky
2018	J	`jnl`	Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations. CoRR Shuai Tang, Paul Smolensky, Virginia R. de Sa
2018	—	`conf`	Learning and Analyzing Vector Encoding of Symbolic Representation. ICLR (Workshop) Roland Fernandez, Asli Celikyilmaz, Paul Smolensky, Rishabh Singh
2018	J	`jnl`	Learning and analyzing vector encoding of symbolic representations. CoRR Roland Fernandez, Asli Celikyilmaz, Rishabh Singh, Paul Smolensky
2018	J	`jnl`	Predicting Argumenthood of English Preposition Phrases. CoRR Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky
2018	A*	`conf`	Question-Answering with Grammatically-Interpretable Representations. AAAI Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
2018	J	`jnl`	RNNs Implicitly Implement Tensor Product Representations. CoRR R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
2018	—	`conf`	Tensor Product Generation Networks for Deep NLP Modeling. NAACL-HLT Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu
2017	J	`jnl`	A Neural-Symbolic Approach to Natural Language Tasks. CoRR Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu
2017	J	`jnl`	Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. CoRR Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
2017	J	`jnl`	Tensor Product Generation Networks. CoRR Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Oliver Wu
2016	J	`jnl`	Basic Reasoning with Tensor Product Representations. CoRR Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng
2016	B	`conf`	Bifurcation analysis of a Gradient Symbolic Computation model of incremental processing. CogSci Pyeong Whan Cho, Paul Smolensky
2016	A*	`conf`	Reasoning in Vector Space: An Exploratory Study of Question Answering. ICLR (Poster) Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky
2014	J	`jnl`	Optimization and Quantization in Gradient Symbol Systems: A Framework for Integrating the Continuous and the Discrete in Cognition. Cogn. Sci. Paul Smolensky, Matthew Goldrick, Donald Mathis
2013	J	`jnl`	Cognitive Biases, Linguistic Universals, and Constraint-Based Grammar Learning. Top. Cogn. Sci. Jennifer Culbertson, Paul Smolensky, Colin Wilson
2012	J	`jnl`	A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word-Order Universal. Cogn. Sci. Jennifer Culbertson, Paul Smolensky
2012	J	`jnl`	On the Asymmetrical Difficulty of Acquiring Person Reference in French: Production Versus Comprehension. J. Log. Lang. Inf. Geraldine Legendre, Paul Smolensky
2012	C	`conf`	Subsymbolic Computation Theory for the Human Intuitive Processor. CiE Paul Smolensky
2010	J	`jnl`	The Rumelhart Prize at 10. Cogn. Sci. William Bechtel, Marlene Behrmann, Nick Chater, Robert J. Glushko, Robert L. Goldstone, Paul Smolensky
2008	J	`jnl`	Introduction to the 2006 Rumelhart Prize Special Issue Honoring Roger Shepard. Cogn. Sci. Paul Smolensky
2006	J	`jnl`	Harmony in Linguistic Cognition. Cogn. Sci. Paul Smolensky
1999	J	`jnl`	Grammar-based connectionist approaches to language. Cogn. Sci. Paul Smolensky
1994	A*	`conf`	Optimality Theory: Universal Grammar, Learning and Parsing Algorithms, and Connectionist Foundations (Abstract). ACL Paul Smolensky, Bruce Tesar
1993	A*	`conf`	Dynamic Conflict Resolution in a Connectionist Rule-Based System. IJCAI Clayton McMillan, Michael Mozer, Paul Smolensky
1992	—	`conf`	Harmonic Grammars for Formal Languages. NIPS Paul Smolensky
1991	—	`conf`	Distributed Recursive Structure Processing. SCAI Geraldine Legendre, Yoshiro Miyata, Paul Smolensky
1991	—	`conf`	Rule Induction through Integrated Symbolic and Subsymbolic Processing. NIPS Clayton McMillan, Michael Mozer, Paul Smolensky
1990	—	`conf`	Distributed Recursive Structure Processing. NIPS Geraldine Legendre, Yoshiro Miyata, Paul Smolensky
1990	J	`jnl`	Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems. Artif. Intell. Paul Smolensky
1988	—	`conf`	Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment. NIPS Michael Mozer, Paul Smolensky
1987	—	`conf`	Analysis of Distributed Representation of Constituent Structure in Connectionist Systems. NIPS Paul Smolensky
1987	J	`jnl`	Connectionist AI, symbolic AI, and the brain. Artif. Intell. Rev. Paul Smolensky
1987	—	`conf`	Constraint-Based Hypertext for Argumentation. Hypertext Paul Smolensky, Brigham Bell, Barbara A. Fox, Roger King, Clayton H. Lewis
1987	A*	`conf`	Social science and system design: interdisciplinary collaborations. CHI Lucy A. Suchman, William O. Beeman, Michael R. Pear, Barbara A. Fox, Paul Smolensky
1984	—	`conf`	Ethical questions and military dominance in next generation computing. ACM Annual Conference Paul Smolensky
1984	—	`conf`	The impact and issues of the fifth generation: Ethical issues in new computing technologies. ACM Annual Conference Rob Kling, Terry Winograd, Paul Smolensky, Roland Schinzinger
1983	A*	`conf`	A proposal for user centered system documentation. CHI Claire O'Malley, Paul Smolensky, Liam Bannon, E. Conway, J. Graham, J. Sokolov, Melissa Lee Monty
1983	A*	`conf`	Schema Selection and Stochastic Inference in Modular Environments. AAAI Paul Smolensky