:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Ryskina, Maria, Gormley, Matthew R., Mahowald, Kyle, Mortensen, David R., Berg-Kirkpatrick, Taylor, Kulkarni, Vivek
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2602.13123
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

You Can't Fight in Here! This is BBS!
by: Futrell, Richard, et al.
Published: (2026)

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
by: Misra, Kanishka, et al.
Published: (2024)

Causal Drawbridges: Characterizing Gradient Blocking of Syntactic Islands in Transformer LMs
by: Boguraev, Sasha, et al.
Published: (2026)

For Generated Text, Is NLI-Neutral Text the Best Text?
by: Mersinias, Michail, et al.
Published: (2023)

How Linguistics Learned to Stop Worrying and Love the Language Models
by: Futrell, Richard, et al.
Published: (2025)

Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs
by: Lederman, Harvey, et al.
Published: (2024)

Emergent Introspection in AI is Content-Agnostic
by: Lederman, Harvey, et al.
Published: (2026)

The Counterexample Game: Iterated Conceptual Analysis and Repair in Language Models
by: Drucker, Daniel, et al.
Published: (2026)

Readability $\ne$ Learnability: Rethinking the Role of Simplicity in Training Small Language Models
by: Lee, Ivan, et al.
Published: (2025)

A Taxonomy for Data Contamination in Large Language Models
by: Palavalli, Medha, et al.
Published: (2024)

Participle-Prepended Nominals Have Lower Entropy Than Nominals Appended After the Participle
by: Denlinger, Kristie, et al.
Published: (2024)

Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs
by: Weissweiler, Leonie, et al.
Published: (2025)

France or Spain or Germany or France: A Neural Account of Non-Redundant Redundant Disjunctions
by: Boguraev, Sasha, et al.
Published: (2026)

Can AI mimic the human ability to define neologisms?
by: Georgiou, Georgios P.
Published: (2025)

Learning Mutually Informed Representations for Characters and Subwords
by: Wang, Yilin, et al.
Published: (2023)

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
by: Misra, Kanishka, et al.
Published: (2024)

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
by: Rozner, Josh, et al.
Published: (2021)

Convergence and Divergence of Language Models under Different Random Seeds
by: Fehlauer, Finlay, et al.
Published: (2025)

Language Models Fail to Introspect About Their Knowledge of Language
by: Song, Siyuan, et al.
Published: (2025)

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
by: Boguraev, Sasha, et al.
Published: (2025)

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
by: Jafari, Yasaman, et al.
Published: (2024)

The Format Tax
by: Lee, Ivan Yee, et al.
Published: (2026)

Continuous Diffusion Models Can Obey Formal Syntax
by: Kim, Jinwoo, et al.
Published: (2026)

Constructions are Revealed in Word Distributions
by: Rozner, Joshua, et al.
Published: (2025)

On Language Models' Sensitivity to Suspicious Coincidences
by: Padmanabhan, Sriram, et al.
Published: (2025)

Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models
by: Yao, Qing, et al.
Published: (2025)

Optical Context Compression Is Just (Bad) Autoencoding
by: Lee, Ivan Yee, et al.
Published: (2025)

Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias
by: Govindarajan, Venkata S, et al.
Published: (2023)

Privileged Self-Access Matters for Introspection in AI
by: Song, Siyuan, et al.
Published: (2025)

semantic-features: A User-Friendly Tool for Studying Contextual Word Embeddings in Interpretable Semantic Spaces
by: Ranganathan, Jwalanthi, et al.
Published: (2025)

Models Can and Should Embrace the Communicative Nature of Human-Generated Math
by: Boguraev, Sasha, et al.
Published: (2024)

Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias
by: Govindarajan, Venkata S, et al.
Published: (2024)

Language models align with brain regions that represent concepts across modalities
by: Ryskina, Maria, et al.
Published: (2025)

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways
by: Govindarajan, Venkata S, et al.
Published: (2023)

A suite of LMs comprehend puzzle statements as well as humans
by: Goldberg, Adele E, et al.
Published: (2025)

Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs
by: Gao, Xin, et al.
Published: (2026)

LLMs and people both learn to form conventions -- just not with each other
by: Jones, Cameron R., et al.
Published: (2026)

Alt-Text with Context: Improving Accessibility for Images on Twitter
by: Srivatsan, Nikita, et al.
Published: (2023)

Studying the Soupability of Documents in State Space Models
by: Jafari, Yasaman, et al.
Published: (2025)

Constrained Adaptive Rejection Sampling
by: Parys, Paweł, et al.
Published: (2025)