Princeton Language and Intelligence (PLI)

Research output

Research output per year 1972 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 2359 Article
• 593 Conference contribution
• 290 Conference article
• 151 Review article
• 373 More
  • 118 Paper
  • 96 Chapter
  • 71 Comment/debate
  • 38 Editorial
  • 19 Short survey
  • 13 Book
  • 11 Letter
  • 7 Foreword/postscript

Research output per year

Research output per year

Search results

• 2024

  ADAPTIVE REGRET FOR BANDITS MADE POSSIBLE: TWO QUERIES SUFFICE

  Lu, Z., Zhang, Q., Chen, X., Zhang, F., Woodruff, D. P. & Hazan, E., 2024.

  Research output: Contribution to conference › Paper › peer-review

  • Worst Case 100%
  • Variance 100%
  • Multiplicative 100%
  • Observation Distribution 100%
  • Maximum Regret 33%
• 2023

  BITRATE-CONSTRAINED DRO: BEYOND WORST CASE ROBUSTNESS TO UNKNOWN GROUP SHIFTS

  Setlur, A., Dennis, D., Eysenbach, B., Raghunathan, A., Finn, C., Smith, V. & Levine, S., 2023.

  Research output: Contribution to conference › Paper › peer-review

  • Annotation 100%
  • Training Point 100%
  • Worst-case Robustness 100%
  • Group Shift 100%
  • Learning Model 100%

• REACT: SYNERGIZING REASONING AND ACTING IN LANGUAGE MODELS

  Yao, S., Zhao, J., Yu, D., Du, N., Shafran, I., Narasimhan, K. & Cao, Y., 2023.

  Research output: Contribution to conference › Paper › peer-review

  • Interactive Decision-making 100%
  • Interactive Decision Making 100%
  • Plan Generation 50%
  • Knowledge Environment 50%
  168 Scopus citations

• SIMPLIFYING MODEL-BASED RL: LEARNING REPRESENTATIONS, LATENT-SPACE MODELS, AND POLICIES WITH ONE OBJECTIVE

  Ghugare, R., Bharadhwaj, H., Eysenbach, B., Levine, S. & Salakhutdinov, R., 2023.

  Research output: Contribution to conference › Paper › peer-review

  • Reinforcement Learning 100%
  • Representation Learning 100%
  • Model-Based Reinforcement Learning 100%
  • Single Objective 33%
  • Model-Free Reinforcement Learning 33%
  5 Scopus citations

• UNDERSTANDING INFLUENCE FUNCTIONS AND DATAMODELS VIA HARMONIC ANALYSIS

  Saunshi, N., Gupta, A., Braverman, M. & Arora, S., 2023.

  Research output: Contribution to conference › Paper › peer-review

  • Influence Function 100%
  • Harmonic Analysis 100%
  • Harmonics 100%
  • Test Data 100%
  • Residual Error 50%
  4 Scopus citations
• 2022

  Accessibility factors that lead to good-enough language production

  Lee, C., Lew-Williams, C. & Goldberg, A. E., 2022, p. 2303-2309. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Priming 100%
  • Language Production 100%
  • Time Pressure 100%
  • Labelled Image 33%
  • Familiar Word 33%

• Backgroundedness Predicts Island Status of Non-finite Adjuncts in English

  Namboodiripad, S., Cuneo, N., Kramer, M. A., Sedarous, Y., Sugimoto, Y., Bisnath, F. & Goldberg, A. E., 2022, p. 1087-1093. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Adjunct 100%
  • Non-finite 100%
  • WH-questions 25%
  • Discourse 12%
  • Negation 12%
  2 Scopus citations

• Can Humans Do Less-Than-One-Shot Learning?

  Malaviya, M., Sucholutsky, I., Oktar, K. & Griffiths, T. L., 2022, p. 997-1003. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Underlying Mechanism 100%
  • Experimental Paradigm 100%
  • Dimensional Feature Space 100%
  • One-shot Learning 100%
  • Data-scarce 100%

• Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models

  van de Kar, M., Xia, M., Chen, D. & Artetxe, M., 2022, p. 7508-7520. 13 p.

  Research output: Contribution to conference › Paper › peer-review

  • Regular Expressions 100%
  • Language Model 100%
  • Zero-shot Learning 100%
  • Zero-shot 100%
  • Expression 100%
  7 Scopus citations

• Islands Effects Without Extraction: The Discourse Function of Constructions Predicts Island Status

  Cuneo, N. & Goldberg, A. E., 2022, p. 3030-3037. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  • Discourse Functions 100%
  • Discourse Function 100%
  • Declarative Sentence 50%
  • Construction Conflict 50%
  • Syntactic Islands 50%
  2 Scopus citations

• Language learners' unacceptability judgments improve with repeated exposure to acceptable sentences

  Tachihara, K. & Goldberg, A. E., 2022, p. 876-881. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  • Spanish speakers 100%
  • Adult Language Learners 100%
  • Judgment Data 33%
  • Part Learning 33%

• LINKING EMERGENT AND NATURAL LANGUAGES VIA CORPUS TRANSFER

  Yao, S., Yu, M., Zhang, Y., Narasimhan, K., Tenenbaum, J. B. & Gan, C., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Emergent Languages 100%
  • Low Correlation 100%
  • Language Resource 100%
  • Language Emergence 25%
  • Referential Games 12%
  6 Scopus citations

• Maximum Entropy Function Learning

  Segert, S. & Cohen, J., 2022, p. 1462-1468. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Maximum Entropy 100%
  • Computational Modeling 50%
  • gaussian process model 50%
  • Limited Amount of Data 33%
  • Jaynes 33%

• MINIMAX OPTIMIZATION WITH SMOOTH ALGORITHMIC ADVERSARIES

  Fiez, T., Ratliff, L. J., Jin, C. & Netrapalli, P., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Adversary 100%
  • Nonconcave 100%
  • Minimax Optimization 100%
  • Experimental Result 100%
  • Machine Learning 100%
  1 Scopus citations

• ON PREDICTING GENERALIZATION USING GANS

  Zhang, Y., Gupta, A., Saunshi, N. & Arora, S., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Training Dataset 100%
  • Generative Adversarial Networks 100%
  • Synthetic Data 50%
  • Architecture Design 50%
  • training algorithm 50%
  2 Scopus citations

• Predicting Human Similarity Judgments Using Large Language Models

  Marjieh, R., Sucholutsky, I., Sumers, T. R., Jacoby, N. & Griffiths, T. L., 2022, p. 2598-2604. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Neuroscience 100%
  • Mental Representation 100%
  • Large Language Model 100%
  • Online Recruitment 20%

• Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models

  Xia, M., Artetxe, M., Du, J., Chen, D. & Stoyanov, V., 2022, p. 11351-11361. 11 p.

  Research output: Contribution to conference › Paper › peer-review

  • Few-Shot Learning 100%
  • ELECTRA 100%
  • Language Modeling 100%
  • Multi-Token 20%
  3 Scopus citations

• ROBUST LEARNING MEETS GENERATIVE MODELS: CAN PROXY DISTRIBUTIONS IMPROVE ADVERSARIAL ROBUSTNESS?

  Sehwag, V., Mahloujifar, S., Handina, T., Dai, S., Xiang, C., Chiang, M. & Mittal, P., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Deep Neural Network 100%
  • Diffusion-based Generative Models 25%
  22 Scopus citations

• Training Language Models with Memory Augmentation

  Zhong, Z., Lei, T. & Chen, D., 2022, p. 5657-5673. 17 p.

  Research output: Contribution to conference › Paper › peer-review

  • Memory Construction 100%
  • Accessible Memory 85%
  39 Scopus citations

• UNDERSTANDING DOMAIN RANDOMIZATION FOR SIM-TO-REAL TRANSFER

  Chen, X., Hu, J., Jin, C., Li, L. & Wang, L., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Autonomous Driving 100%
  • Learning Algorithm 100%
  • Simple Algorithm 100%
  • Mild Condition 100%
  • Theoretical Framework 100%
  22 Scopus citations

• VITRUVION: A GENERATIVE MODEL OF PARAMETRIC CAD SKETCHES

  Seff, A., Zhou, W., Richardson, N. & Adams, R. P., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Computer Aided Design 100%
  • Generative Model 100%
  • Design Drawing 100%
  • Electronic Circuit 100%
  • Tool Design 100%
  9 Scopus citations

• WHAT HAPPENS AFTER SGD REACHES ZERO LOSS? -A MATHEMATICAL FRAMEWORK

  Li, Z., Wang, T. & Arora, S., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Stochastics 100%
  • Manifold 50%
  • Loss Function 33%
  • Upper Bound 33%
  • Covariance 33%
  20 Scopus citations
• 2021

  Active Multi-Fidelity Bayesian Online Changepoint Detection

  Gundersen, G. W., Cai, D., Zhou, C., Engelhardt, B. E. & Adams, R. P., 2021, p. 1916-1926. 11 p.

  Research output: Contribution to conference › Paper › peer-review

  • Accurate Prediction 100%
  • Bayesian Approach 100%
  • Mobile Phone 100%
  • Inertial Measurement 100%
  • Limited Resource 100%
  4 Scopus citations

• A MATHEMATICAL EXPLORATION OF WHY LANGUAGE MODELS HELP SOLVE DOWNSTREAM TASKS

  Saunshi, N., Malladi, S. & Arora, S., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Pre-training Tasks 100%
  • Mathematical Formalization 50%
  • Sentence Completion Task 50%
  • Cross-entropy 50%
  • Intuitive Connection 50%
  20 Scopus citations

• A Rational Account of Anchor Effects in Hindsight Bias

  Wilson, S., Arora, S., Zhang, Q. & Griffiths, T. L., 2021, p. 1327-1332. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  • Anchoring Effect 100%
  • Rational Account 100%
  • Hindsight Bias 100%
  • Bayesian 100%
  • Plausibility 100%
  1 Scopus citations

• Are Convolutional Neural Networks or Transformers more like human vision?

  Tuli, S., Dasgupta, I., Grant, E. & Griffiths, T. L., 2021, p. 1844-1850. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Neural Network 100%
  • Beyond-accuracy 25%
  • Error Consistency 25%
  • Vision Transformer 25%
  • Network Model 20%
  21 Scopus citations

• EMERGENT SYMBOLS THROUGH BINDING IN EXTERNAL MEMORY

  Webb, T. W., Sinha, I. & Cohen, J. D., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Symbol Processing 100%
  • Competitive Neural Networks 50%
  • Novel Entities 50%
  18 Scopus citations

• Extending rational models of communication from beliefs to actions

  Sumers, T. R., Hawkins, R. D., Ho, M. K. & Griffiths, T. L., 2021, p. 63-69. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Non-literal Language 100%
  • Lewis Signaling Game 100%
  • Referential Communication Task 100%
  • Rational Communication 100%
  • Relative Value 100%
  5 Scopus citations

• FEW-SHOT LEARNING VIA LEARNING THE REPRESENTATION, PROVABLY

  Du, S. S., Hu, W., Kakade, S. M., Lee, J. D. & Lei, Q., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Representation Learning 100%
  • Few-Shot Learning 100%
  • Common Representation 75%
  • Neural Network 25%
  • Input Dimension 25%
  43 Scopus citations

• META-LEARNING OF STRUCTURED TASK DISTRIBUTIONS IN HUMANS AND MACHINES

  Kumar, S., Dasgupta, I., Cohen, J. D., Daw, N. D. & Griffiths, T. L., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Reinforcement Learning 100%
  • Neural Network 100%
  • Human Performance 100%
  • Double Dissociation 50%
  • Statistical Complexity 22%
  3 Scopus citations

• Modeling rules and similarity in colexification

  Floyd, S., Dalawella, K., Goldberg, A. E., Lew-Williams, C. & Griffiths, T. L., 2021, p. 1830-1836. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Computational Modeling 100%
  • Model Prediction 100%
  • Similarity Model 100%
  • Modeling Rule 100%
  • Colexification 100%
  4 Scopus citations

• Modelling the development of counting with memory-augmented neural networks

  Dulberg, Z., Webb, T. & Cohen, J., 2021, p. 868-874. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Neural Network 100%
  • Child Development 100%
  • Training Set 100%
  • Human Development 100%
  • Give-N Task 100%
  2 Scopus citations

• PROVABLE RICH OBSERVATION REINFORCEMENT LEARNING WITH COMBINATORIAL LATENT STATES

  Misra, D., Liu, Q., Jin, C. & Langford, J., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Reinforcement Learning 100%
  • Latent State 100%
  • State Space 100%
  • Polynomial Time 50%
  • And-States 50%
  3 Scopus citations

• RANDOMIZED AUTOMATIC DIFFERENTIATION

  Oktay, D., McGreivy, N., Aduol, J., Beatson, A. & Adams, R. P., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Machine Learning 100%
  • Neural Network Architecture 100%
  • Gradient Descent 100%
  • Feedforward Network 100%
  • Recurrent Network 100%
  6 Scopus citations

• Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries

  Hawkins, R. D., Liu, I., Goldberg, A. E. & Griffiths, T. L., 2021, p. 2232-2238. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Group Structure 100%
  • Lexical Representation 100%
  • Social Class 100%
  • Outgroup 33%
  • Group Members 33%
  1 Scopus citations

• SSD: A UNIFIED FRAMEWORK FOR SELF-SUPERVISED OUTLIER DETECTION

  Sehwag, V., Chiang, M. & Mittal, P., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Unified Framework 100%
  • Unlabeled Data 100%
  • Outlier Detection 100%
  • Data Distribution 66%
  • Feature Space 33%
  104 Scopus citations

• The Dynamics of Exemplar and Prototype Representations Depend on Environmental Statistics

  Devraj, A., Zhang, Q. & Griffiths, T. L., 2021, p. 174-180. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Individual Ability 100%
  • Memory Decay 100%
  • Exemplar Representation 100%
  • Category Prototype 33%
  2 Scopus citations

• The Value of Learning and Cognitive Control Allocation

  Masís, J., Musslick, S. & Cohen, J. D., 2021, p. 348-354. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Cognitive Control 100%
  • Decision Making 50%
  • Cognitive Impairment 50%
  • Human Decision 50%
  • Competence Level 33%
  5 Scopus citations

• Using Recurrent Neural Networks to Understand Human Reward Learning

  Song, M., Niv, Y. & Cai, M. B., 2021, p. 1388-1394. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Reward Learning 100%
  • Recurrent Neural Network 100%
  • Neural Network 100%
  • Cognitive Model 50%
  • Recurrent Neural Network Model 50%
  1 Scopus citations

• WHY ARE CONVOLUTIONAL NETS MORE SAMPLE-EFFICIENT THAN FULLY-CONNECTED NETS?

  Li, Z., Zhang, Y. & Arora, S., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Equivariant 100%
  • Connected Network 100%
  • Permutation 50%
  • Gaussian Distribution 50%
  • Dominates 50%
  12 Scopus citations
• 2020

  Analogy as Nonparametric Bayesian Inference over Relational Systems

  Battleday, R. M. & Griffiths, T. L., 2020, p. 2605-2611. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Relational System 100%
  • Relational Systems 100%
  • Naive Theory 100%
  • Relational Structure 50%

• AN EXPONENTIAL LEARNING RATE SCHEDULE FOR DEEP LEARNING

  Li, Z. & Arora, S., 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Exponential Learning 100%
  • Learning Rate Schedule 100%
  • Learning Rate 100%
  • Deep Learning 100%
  • Tuning Weight 50%
  33 Scopus citations

• A Novel Quantum Approach to the Dynamics of Decision Making

  Rosendahl, M., Bizyaeva, A. & Cohen, J., 2020, p. 2187-2193. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Decision-Making 100%
  • Two-Alternative Forced Choice 50%
  • Cognitive Control 50%
  • Decision-Making Process 50%
  • Task Signal 50%

• A rational model of sequential self-assessment

  Jansen, R. A. & Griffiths, T. L., 2020, p. 397-403. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • One-off 100%
  • Self-Assessment 100%
  • Individual Beliefs 50%
  1 Scopus citations

• BEYOND LINEARIZATION: ON QUADRATIC AND HIGHER-ORDER APPROXIMATION OF WIDE NEURAL NETWORKS

  Bai, Y. & Lee, J. D., 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Quadratic Orders 100%
  • Linearization 100%
  • Wide Neural Network 100%
  • High-order Approximation 100%
  • Neural Tangent Kernel 100%
  32 Scopus citations

• DEEPV2D: VIDEO TO DEPTH WITH DIFFERENTIABLE STRUCTURE FROM MOTION

  Teed, Z. & Deng, J., 2020.

  Research output: Contribution to conference › Paper › peer-review

  • Motion Estimation 100%
  • Depth Estimation 100%
  • structure-from-motion 100%
  • Neural Network 50%
  • Image Formation 50%
  53 Scopus citations

• Determinantal Point Processes for Memory and Structured Inference

  Frankland, S. M. & Cohen, J. D., 2020, p. 3302-3308. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Cognitive Bias 100%
  • Word Learning 100%
  • Disjunctive Syllogism 20%
  • Used Components 20%

• Downloading Culture.zip: Social learning by program induction

  Kleiman-Weiner, M., Sosa, F., Thompson, B., van Opheusden, B., Griffiths, T. L., Gershman, S. & Cushman, F., 2020, p. 1667-1673. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Program Induction 100%
  • Social Learning 100%
  • Causal Process 66%
  • Cumulative Culture 25%
  • Probabilistic Programs 25%
  2 Scopus citations

• End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior

  Singh, P., Peterson, J. C., Battleday, R. M. & Griffiths, T. L., 2020, p. 634-640. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Neural Network 100%
  • Gaussian Distribution 50%
  • Prototype Model 50%
  • Mixture Model 50%
  • Deep Gaussian Mixture Model 33%
  7 Scopus citations

• Extracting low-dimensional psychological representations from convolutional neural networks

  Jha, A., Peterson, J. & Griffiths, T. L., 2020, p. 2180-2186. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Convolutional Neural Network 100%
  • Similarity Judgments 100%
  • Psychological Representations 100%
  • Neural Network 100%
  • Complex Stimuli 33%
  2 Scopus citations