Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Stöpler, Lennart, Asadli, Rufat, Nikolaus, Mitja, Cotterell, Ryan, Warstadt, Alex |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
Can Language Models Learn Typologically Implausible Languages?
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, 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)
Automatic Annotation of Grammaticality in Child-Caregiver Conversations
by: Nikolaus, Mitja, et al.
Published: (2024)
by: Nikolaus, Mitja, et al.
Published: (2024)
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)
A Geometric Notion of Causal Probing
by: Guerner, Clément, et al.
Published: (2023)
by: Guerner, Clément, et al.
Published: (2023)
Entailment Semantics Can Be Extracted from an Ideal Language Model
by: Merrill, William, et al.
Published: (2022)
by: Merrill, William, et al.
Published: (2022)
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)
Characterizing the Expressivity of Fixed-Precision Transformer Language Models
by: Li, Jiaoda, et al.
Published: (2025)
by: Li, Jiaoda, et al.
Published: (2025)
Towards Explainability in Legal Outcome Prediction Models
by: Valvoda, Josef, et al.
Published: (2024)
by: Valvoda, Josef, et al.
Published: (2024)
BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data
by: Jumelet, Jaap, et al.
Published: (2025)
by: Jumelet, Jaap, et al.
Published: (2025)
Acquiring Linguistic Knowledge from Multimodal Input
by: Amariucai, Theodor, et al.
Published: (2024)
by: Amariucai, Theodor, et al.
Published: (2024)
The Harmonic Structure of Information Contours
by: Tsipidi, Eleftheria, et al.
Published: (2025)
by: Tsipidi, Eleftheria, et al.
Published: (2025)
Transformers Can Represent $n$-gram Language Models
by: Svete, Anej, et al.
Published: (2024)
by: Svete, Anej, et al.
Published: (2024)
Model Merging to Maintain Language-Only Performance in Developmentally Plausible Multimodal Models
by: Takmaz, Ece, et al.
Published: (2025)
by: Takmaz, Ece, et al.
Published: (2025)
Dual Alignment Between Language Model Layers and Human Sentence Processing
by: Kuribayashi, Tatsuki, et al.
Published: (2026)
by: Kuribayashi, Tatsuki, et al.
Published: (2026)
An Algebraic View of the Expressivity of Recurrent Language Models
by: Nowak, Franz, et al.
Published: (2026)
by: Nowak, Franz, et al.
Published: (2026)
Can Transformers Learn $n$-gram Language Models?
by: Svete, Anej, et al.
Published: (2024)
by: Svete, Anej, et al.
Published: (2024)
[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)
What Do Language Models Learn in Context? The Structured Task Hypothesis
by: Li, Jiaoda, et al.
Published: (2024)
by: Li, Jiaoda, et al.
Published: (2024)
Efficiently Computing Susceptibility to Context in Language Models
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
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)
Formal Aspects of Language Modeling
by: Cotterell, Ryan, et al.
Published: (2023)
by: Cotterell, Ryan, et al.
Published: (2023)
Lower Bounds on the Expressivity of Recurrent Neural Language Models
by: Svete, Anej, et al.
Published: (2024)
by: Svete, Anej, et al.
Published: (2024)
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025)
by: Amini, Afra, et al.
Published: (2025)
Characterizing the Expressivity of Local Attention in Transformers
by: Li, Jiaoda, et al.
Published: (2026)
by: Li, Jiaoda, et al.
Published: (2026)
Exact Hard Monotonic Attention for Character-Level Transduction
by: Wu, Shijie, et al.
Published: (2019)
by: Wu, Shijie, et al.
Published: (2019)
Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields
by: Cotterell, Ryan, et al.
Published: (2024)
by: Cotterell, Ryan, et al.
Published: (2024)
Cross-lingual, Character-Level Neural Morphological Tagging
by: Cotterell, Ryan, et al.
Published: (2017)
by: Cotterell, Ryan, et al.
Published: (2017)
On the Representational Capacity of Recurrent Neural Language Models
by: Nowak, Franz, et al.
Published: (2023)
by: Nowak, Franz, et al.
Published: (2023)
A Simple Joint Model for Improved Contextual Neural Lemmatization
by: Malaviya, Chaitanya, et al.
Published: (2019)
by: Malaviya, Chaitanya, et al.
Published: (2019)
Modality-Agnostic fMRI Decoding of Vision and Language
by: Nikolaus, Mitja, et al.
Published: (2024)
by: Nikolaus, Mitja, 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)
Transducing Language Models
by: Snæbjarnarson, Vésteinn, et al.
Published: (2026)
by: Snæbjarnarson, Vésteinn, et al.
Published: (2026)
Benchmarking LLM-Driven Network Configuration Repair
by: Protogeros, Ioannis, et al.
Published: (2026)
by: Protogeros, Ioannis, et al.
Published: (2026)
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
by: Vargas, Francisco, et al.
Published: (2020)
by: Vargas, Francisco, et al.
Published: (2020)
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)
Bearing Syntactic Fruit with Stack-Augmented Neural Networks
by: DuSell, Brian, et al.
Published: (2025)
by: DuSell, Brian, et al.
Published: (2025)
Similar Items
-
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) -
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
by: Warstadt, Alex, et al.
Published: (2025) -
Can Language Models Learn Typologically Implausible Languages?
by: Xu, Tianyang, 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)