Saved in:
| Main Authors: | Amariucai, Theodor, Warstadt, Alex |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.17936 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Entailment Semantics Can Be Extracted from an Ideal Language Model
by: Merrill, William, et al.
Published: (2022)
by: Merrill, William, et al.
Published: (2022)
A Distributional Perspective on Word Learning in Neural Language Models
by: Ficarra, Filippo, et al.
Published: (2025)
by: Ficarra, Filippo, et al.
Published: (2025)
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)
Automatic Annotation of Grammaticality in Child-Caregiver Conversations
by: Nikolaus, Mitja, et al.
Published: (2024)
by: Nikolaus, Mitja, et al.
Published: (2024)
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)
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)
Can Language Models Learn Typologically Implausible Languages?
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, et al.
Published: (2025)
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)
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)
Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings
by: Barel, Guy, et al.
Published: (2024)
by: Barel, Guy, et al.
Published: (2024)
Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
by: He, Mutian, et al.
Published: (2022)
by: He, Mutian, et al.
Published: (2022)
A Geometric Notion of Causal Probing
by: Guerner, Clément, et al.
Published: (2023)
by: Guerner, Clément, et al.
Published: (2023)
The Harmonic Structure of Information Contours
by: Tsipidi, Eleftheria, et al.
Published: (2025)
by: Tsipidi, Eleftheria, et al.
Published: (2025)
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
by: Zhang, Xiaoying, et al.
Published: (2024)
by: Zhang, Xiaoying, et al.
Published: (2024)
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals
by: Wu, Te-Lin, et al.
Published: (2021)
by: Wu, Te-Lin, et al.
Published: (2021)
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)
Do Language Models Encode Knowledge of Linguistic Constraint Violations?
by: Hardy, et al.
Published: (2026)
by: Hardy, et al.
Published: (2026)
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
by: Chang, Hoyeon, et al.
Published: (2024)
by: Chang, Hoyeon, et al.
Published: (2024)
Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction
by: Jiang, Chunyang, et al.
Published: (2025)
by: Jiang, Chunyang, 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)
Acquiring Pronunciation Knowledge from Transcribed Speech Audio via Multi-task Learning
by: Sun, Siqi, et al.
Published: (2024)
by: Sun, Siqi, et al.
Published: (2024)
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks
by: Marius, Dumitran Adrian, et al.
Published: (2025)
by: Marius, Dumitran Adrian, et al.
Published: (2025)
Linguistic Knowledge Transfer Learning for Speech Enhancement
by: Hung, Kuo-Hsuan, et al.
Published: (2025)
by: Hung, Kuo-Hsuan, et al.
Published: (2025)
Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It)
by: Miaschi, Alessio, et al.
Published: (2024)
by: Miaschi, Alessio, et al.
Published: (2024)
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)
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)
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
by: Shukor, Mustafa, et al.
Published: (2024)
by: Shukor, Mustafa, et al.
Published: (2024)
Linguistic and Structural Basis of Engineering Design Knowledge
by: Siddharth, L., et al.
Published: (2023)
by: Siddharth, L., et al.
Published: (2023)
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)
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
by: Nie, Ercong, et al.
Published: (2024)
by: Nie, Ercong, et al.
Published: (2024)
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
by: Ou, Yixin, et al.
Published: (2025)
by: Ou, Yixin, et al.
Published: (2025)
Evaluating Linguistic Capabilities of Multimodal LLMs in the Lens of Few-Shot Learning
by: Dogan, Mustafa, et al.
Published: (2024)
by: Dogan, Mustafa, et al.
Published: (2024)
The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge
by: Kezar, Lee, et al.
Published: (2024)
by: Kezar, Lee, et al.
Published: (2024)
Cross-Linguistic Persona-Driven Data Synthesis for Robust Multimodal Cognitive Decline Detection
by: Feng, Rui, et al.
Published: (2026)
by: Feng, Rui, et al.
Published: (2026)
Acquiring Bidirectionality via Large and Small Language Models
by: Goto, Takumi, et al.
Published: (2024)
by: Goto, Takumi, et al.
Published: (2024)
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)
by: Jin, Mingyu, et al.
Published: (2024)
BLUCK: A Benchmark Dataset for Bengali Linguistic Understanding and Cultural Knowledge
by: Kabir, Daeen, et al.
Published: (2025)
by: Kabir, Daeen, et al.
Published: (2025)
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications
by: Riedler, Monica, et al.
Published: (2024)
by: Riedler, Monica, et al.
Published: (2024)
Similar Items
-
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
by: Warstadt, Alex, et al.
Published: (2022) -
Entailment Semantics Can Be Extracted from an Ideal Language Model
by: Merrill, William, et al.
Published: (2022) -
A Distributional Perspective on Word Learning in Neural Language Models
by: Ficarra, Filippo, et al.
Published: (2025) -
Investigating Critical Period Effects in Language Acquisition through Neural Language Models
by: Constantinescu, Ionut, et al.
Published: (2024) -
Dual Alignment Between Language Model Layers and Human Sentence Processing
by: Kuribayashi, Tatsuki, et al.
Published: (2026)