Saved in:
| Main Authors: | Tsipidi, Eleftheria, Kiegeland, Samuel, Nowak, Franz, Xu, Tianyang, Wilcox, Ethan, Warstadt, Alex, Cotterell, Ryan, Giulianelli, Mario |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.03902 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse
by: Tsipidi, Eleftheria, et al.
Published: (2024)
by: Tsipidi, Eleftheria, et al.
Published: (2024)
Probing for Reading Times
by: Tsipidi, Eleftheria, et al.
Published: (2026)
by: Tsipidi, Eleftheria, et al.
Published: (2026)
Reverse-Engineering the Reader
by: Kiegeland, Samuel, et al.
Published: (2024)
by: Kiegeland, Samuel, et al.
Published: (2024)
Can Language Models Learn Typologically Implausible Languages?
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, et al.
Published: (2025)
On the Proper Treatment of Units in Surprisal Theory
by: Kiegeland, Samuel, et al.
Published: (2026)
by: Kiegeland, Samuel, et al.
Published: (2026)
A Distributional Perspective on Word Learning in Neural Language Models
by: Ficarra, Filippo, et al.
Published: (2025)
by: Ficarra, Filippo, et al.
Published: (2025)
Generalized Measures of Anticipation and Responsivity in Online Language Processing
by: Giulianelli, Mario, et al.
Published: (2024)
by: Giulianelli, Mario, et al.
Published: (2024)
Investigating Critical Period Effects in Language Acquisition through Neural Language Models
by: Constantinescu, Ionut, et al.
Published: (2024)
by: Constantinescu, Ionut, et al.
Published: (2024)
Dual Alignment Between Language Model Layers and Human Sentence Processing
by: Kuribayashi, Tatsuki, et al.
Published: (2026)
by: Kuribayashi, Tatsuki, et al.
Published: (2026)
What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels
by: Yadavalli, Aditya, et al.
Published: (2025)
by: Yadavalli, Aditya, et al.
Published: (2025)
An Algebraic View of the Expressivity of Recurrent Language Models
by: Nowak, Franz, et al.
Published: (2026)
by: Nowak, Franz, et al.
Published: (2026)
Transducing Language Models
by: Snæbjarnarson, Vésteinn, et al.
Published: (2026)
by: Snæbjarnarson, Vésteinn, et al.
Published: (2026)
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models
by: Stöpler, Lennart, et al.
Published: (2025)
by: Stöpler, Lennart, et al.
Published: (2025)
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
by: Choshen, Leshem, et al.
Published: (2024)
by: Choshen, Leshem, et al.
Published: (2024)
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
by: Warstadt, Alex, et al.
Published: (2025)
by: Warstadt, Alex, et al.
Published: (2025)
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
by: Hu, Michael Y., et al.
Published: (2024)
by: Hu, Michael Y., et al.
Published: (2024)
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
by: Wilcox, Ethan Gotlieb, et al.
Published: (2025)
by: Wilcox, Ethan Gotlieb, et al.
Published: (2025)
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
by: Nowak, Franz, et al.
Published: (2024)
by: Nowak, Franz, et al.
Published: (2024)
BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop
by: Choshen, Leshem, et al.
Published: (2026)
by: Choshen, Leshem, et al.
Published: (2026)
On the Role of Context in Reading Time Prediction
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
A Fast Algorithm for Computing Prefix Probabilities
by: Nowak, Franz, et al.
Published: (2023)
by: Nowak, Franz, et al.
Published: (2023)
Information Locality as an Inductive Bias for Neural Language Models
by: Someya, Taiga, et al.
Published: (2025)
by: Someya, Taiga, et al.
Published: (2025)
On the Representational Capacity of Recurrent Neural Language Models
by: Nowak, Franz, et al.
Published: (2023)
by: Nowak, Franz, et al.
Published: (2023)
A Geometric Notion of Causal Probing
by: Guerner, Clément, et al.
Published: (2023)
by: Guerner, Clément, et al.
Published: (2023)
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
by: Re, Francesco Ignazio, et al.
Published: (2025)
by: Re, Francesco Ignazio, et al.
Published: (2025)
Lower Bounds on the Expressivity of Recurrent Neural Language Models
by: Svete, Anej, et al.
Published: (2024)
by: Svete, Anej, et al.
Published: (2024)
On the Efficacy of Sampling Adapters
by: Meister, Clara, et al.
Published: (2023)
by: Meister, Clara, et al.
Published: (2023)
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
by: Warstadt, Alex, et al.
Published: (2022)
by: Warstadt, Alex, et al.
Published: (2022)
Testing the Predictions of Surprisal Theory in 11 Languages
by: Wilcox, Ethan Gotlieb, et al.
Published: (2023)
by: Wilcox, Ethan Gotlieb, et al.
Published: (2023)
On the Proper Treatment of Tokenization in Psycholinguistics
by: Giulianelli, Mario, et al.
Published: (2024)
by: Giulianelli, Mario, et al.
Published: (2024)
BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop
by: Charpentier, Lucas, et al.
Published: (2025)
by: Charpentier, Lucas, et al.
Published: (2025)
An $\mathbf{L^*}$ Algorithm for Deterministic Weighted Regular Languages
by: Pasti, Clemente, et al.
Published: (2024)
by: Pasti, Clemente, et al.
Published: (2024)
Acquiring Linguistic Knowledge from Multimodal Input
by: Amariucai, Theodor, et al.
Published: (2024)
by: Amariucai, Theodor, et al.
Published: (2024)
Structure-Conditional Minimum Bayes Risk Decoding
by: Eikema, Bryan, et al.
Published: (2025)
by: Eikema, Bryan, et al.
Published: (2025)
The time scale of redundancy between prosody and linguistic context
by: Regev, Tamar I., et al.
Published: (2025)
by: Regev, Tamar I., et al.
Published: (2025)
LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models
by: Frisch, Ivar, et al.
Published: (2024)
by: Frisch, Ivar, et al.
Published: (2024)
Entailment Semantics Can Be Extracted from an Ideal Language Model
by: Merrill, William, et al.
Published: (2022)
by: Merrill, William, et al.
Published: (2022)
Is Information Density Uniform when Utterances are Grounded on Perception and Discourse?
by: Gay, Matteo, et al.
Published: (2026)
by: Gay, Matteo, et al.
Published: (2026)
Ensembling Language Models with Sequential Monte Carlo
by: Chan, Robin Shing Moon, et al.
Published: (2026)
by: Chan, Robin Shing Moon, et al.
Published: (2026)
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
by: Borenstein, Nadav, et al.
Published: (2024)
by: Borenstein, Nadav, et al.
Published: (2024)
Similar Items
-
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse
by: Tsipidi, Eleftheria, et al.
Published: (2024) -
Probing for Reading Times
by: Tsipidi, Eleftheria, et al.
Published: (2026) -
Reverse-Engineering the Reader
by: Kiegeland, Samuel, et al.
Published: (2024) -
Can Language Models Learn Typologically Implausible Languages?
by: Xu, Tianyang, et al.
Published: (2025) -
On the Proper Treatment of Units in Surprisal Theory
by: Kiegeland, Samuel, et al.
Published: (2026)