Image de couverture de livre

On the Role of Context in Reading Time Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Opedal, Andreas, Chodroff, Eleanor, Cotterell, Ryan, Wilcox, Ethan Gotlieb
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Reverse-Engineering the Reader
par: Kiegeland, Samuel, et autres
Publié: (2024)

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
par: Re, Francesco Ignazio, et autres
Publié: (2025)

Testing the Predictions of Surprisal Theory in 11 Languages
par: Wilcox, Ethan Gotlieb, et autres
Publié: (2023)

Learning to Reason Efficiently with A* Post-Training
par: Opedal, Andreas, et autres
Publié: (2026)

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
par: Opedal, Andreas, et autres
Publié: (2024)

Generalized Measures of Anticipation and Responsivity in Online Language Processing
par: Giulianelli, Mario, et autres
Publié: (2024)

What Do Language Models Learn in Context? The Structured Task Hypothesis
par: Li, Jiaoda, et autres
Publié: (2024)

Are Language Models Efficient Reasoners? A Perspective from Logic Programming
par: Opedal, Andreas, et autres
Publié: (2025)

Looking forward: Linguistic theory and methods
par: Mansfield, John, et autres
Publié: (2025)

Predicting the Emergence of Induction Heads in Language Model Pretraining
par: Aoyama, Tatsuya, et autres
Publié: (2025)

Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
par: Vargas, Francisco, et autres
Publié: (2020)

Context-Free Recognition with Transformers
par: Jerad, Selim, et autres
Publié: (2026)

Log-linear Guardedness and its Implications
par: Ravfogel, Shauli, et autres
Publié: (2022)

Transformers Can Represent $n$-gram Language Models
par: Svete, Anej, et autres
Publié: (2024)

Information-Theoretic Storage Cost in Sentence Comprehension
par: Kajikawa, Kohei, et autres
Publié: (2026)

An Algebraic View of the Expressivity of Recurrent Language Models
par: Nowak, Franz, et autres
Publié: (2026)

On the Representational Capacity of Recurrent Neural Language Models
par: Nowak, Franz, et autres
Publié: (2023)

Kernelized Concept Erasure
par: Ravfogel, Shauli, et autres
Publié: (2022)

Linear Adversarial Concept Erasure
par: Ravfogel, Shauli, et autres
Publié: (2022)

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
par: Ruder, Sebastian, et autres
Publié: (2018)

Direct Preference Optimization with an Offset
par: Amini, Afra, et autres
Publié: (2024)

Better Estimation of the Kullback--Leibler Divergence Between Language Models
par: Amini, Afra, et autres
Publié: (2025)

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
par: Opedal, Andreas, et autres
Publié: (2024)

Function Words as Statistical Cues for Language Learning
par: Yang, Xiulin, et autres
Publié: (2026)

On Efficiently Representing Regular Languages as RNNs
par: Svete, Anej, et autres
Publié: (2024)

A Practical Method for Generating String Counterfactuals
par: Avitan, Matan, et autres
Publié: (2024)

Can Language Models Learn Typologically Implausible Languages?
par: Xu, Tianyang, et autres
Publié: (2025)

Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse
par: Tsipidi, Eleftheria, et autres
Publié: (2024)

Unique Hard Attention: A Tale of Two Sides
par: Jerad, Selim, et autres
Publié: (2025)

Gumbel Counterfactual Generation From Language Models
par: Ravfogel, Shauli, et autres
Publié: (2024)

Variational Best-of-N Alignment
par: Amini, Afra, et autres
Publié: (2024)

Syntactic Control of Language Models by Posterior Inference
par: Xefteri, Vicky, et autres
Publié: (2025)

Prefix Parsing is Just Parsing
par: Pasti, Clemente, et autres
Publié: (2026)

Dual Alignment Between Language Model Layers and Human Sentence Processing
par: Kuribayashi, Tatsuki, et autres
Publié: (2026)

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
par: Borenstein, Nadav, et autres
Publié: (2024)

Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't
par: Svete, Anej, et autres
Publié: (2026)

Training Neural Networks as Recognizers of Formal Languages
par: Butoi, Alexandra, et autres
Publié: (2024)

On the Efficacy of Sampling Adapters
par: Meister, Clara, et autres
Publié: (2023)

Representation Surgery: Theory and Practice of Affine Steering
par: Singh, Shashwat, et autres
Publié: (2024)

A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
par: Yang, Xiulin, et autres
Publié: (2026)