Cover Image

Basic Category Usage in Vision Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sawyer, Hunter, Roberts, Jesse, Moore, Kyle
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
by: Moore, Kyle, et al.
Published: (2025)

Investigating Human-Aligned Large Language Model Uncertainty
by: Moore, Kyle, et al.
Published: (2025)

Using Artificial Populations to Study Psychological Phenomena in Neural Models
by: Roberts, Jesse, et al.
Published: (2023)

Large Language Model Recall Uncertainty is Modulated by the Fan Effect
by: Roberts, Jesse, et al.
Published: (2024)

Chain of Thought Still Thinks Fast: APriCoT Helps with Thinking Slow
by: Moore, Kyle, et al.
Published: (2024)

The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance
by: Moore, Kyle, et al.
Published: (2024)

How Powerful are Decoder-Only Transformer Neural Models?
by: Roberts, Jesse
Published: (2023)

Do Large Language Models Learn Human-Like Strategic Preferences?
by: Roberts, Jesse, et al.
Published: (2024)

KARMA: Karma-Aligned Reward Model Adaptation
by: Scott, Jared, et al.
Published: (2026)

Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis
by: Umphrey, Ray, et al.
Published: (2024)

Supporting the Digital Autonomy of Elders Through LLM Assistance
by: Roberts, Jesse, et al.
Published: (2024)

Probing the Category of Verbal Aspect in Transformer Language Models
by: Katinskaia, Anisia, et al.
Published: (2024)

Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models
by: Jiang, Yifan, et al.
Published: (2026)

A Multimodal Recaptioning Framework to Account for Perceptual Diversity Across Languages in Vision-Language Modeling
by: Buettner, Kyle, et al.
Published: (2025)

Syntactic Evolution in Language Usage
by: Kumar, Surbhit
Published: (2025)

Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
by: He, Keyu, et al.
Published: (2025)

Evaluating the Usage of African-American Vernacular English in Large Language Models
by: Dunlap, Deja, et al.
Published: (2026)

Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling
by: Liu, Yuxuan, et al.
Published: (2025)

Risk and Response in Large Language Models: Evaluating Key Threat Categories
by: Harandizadeh, Bahareh, et al.
Published: (2024)

LLMs as Agentic Cooperative Players in Multiplayer UNO
by: Matinez, Yago Romano, et al.
Published: (2025)

Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
by: Atuhurra, Jesse
Published: (2024)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
by: Wu, Minghao, et al.
Published: (2024)

Optimizing Token Usage on Large Language Model Conversations Using the Design Structure Matrix
by: Alarcia, Ramon Maria Garcia, et al.
Published: (2024)

olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
by: Poznanski, Jake, et al.
Published: (2025)

Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?
by: Güven, Arzu Burcu, et al.
Published: (2025)

Language Diversity: Evaluating Language Usage and AI Performance on African Languages in Digital Spaces
by: Ajayi, Edward, et al.
Published: (2025)

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

Constructing Multilingual Visual-Text Datasets Revealing Visual Multilingual Ability of Vision Language Models
by: Atuhurra, Jesse, et al.
Published: (2024)

The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors
by: Lucy, Li, et al.
Published: (2026)

STU-PID: Steering Token Usage via PID Controller for Efficient Large Language Model Reasoning
by: Bharadwaj, Aryasomayajula Ram
Published: (2025)

Leave No TRACE: Black-box Detection of Copyrighted Dataset Usage in Large Language Models via Watermarking
by: Zhang, Jingqi, et al.
Published: (2025)

Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models
by: Gui, Anchun, et al.
Published: (2024)

Large Language Models for Page Stream Segmentation
by: Heidenreich, Hunter, et al.
Published: (2024)

Generalized Category Discovery with Large Language Models in the Loop
by: An, Wenbin, et al.
Published: (2023)

Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
by: Srinivasan, Tejas, et al.
Published: (2024)

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

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
by: Heineman, David, et al.
Published: (2025)

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
by: Schlechtweg, Dominik, et al.
Published: (2021)

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)

WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models
by: Ning, Kangyun, et al.
Published: (2024)