:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Honarmand, Melika, Sharma, Ayati, AlKhamissi, Badr, Mehrer, Johannes, Schrimpf, Martin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2509.24597
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data
by: AlKhamissi, Badr, et al.
Published: (2024)

The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units
by: AlKhamissi, Badr, et al.
Published: (2024)

Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network
by: AlKhamissi, Badr, et al.
Published: (2024)

TopoLM: brain-like spatio-functional organization in a topographic language model
by: Rathi, Neil, et al.
Published: (2024)

MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
by: Gokce, Abdulkadir, et al.
Published: (2026)

A Context-Contrastive Inference Approach To Partial Diacritization
by: ElNokrashy, Muhammad, et al.
Published: (2024)

Evaluating Contrast Localizer for Identifying Causal Units in Social & Mathematical Tasks in Language Models
by: Jamaa, Yassine, et al.
Published: (2025)

Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification
by: ElNokrashy, Muhammad, et al.
Published: (2022)

Investigating Cultural Alignment of Large Language Models
by: AlKhamissi, Badr, et al.
Published: (2024)

Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens
by: AlKhamissi, Mai, et al.
Published: (2025)

From Language to Cognition: How LLMs Outgrow the Human Language Network
by: AlKhamissi, Badr, et al.
Published: (2025)

Instruction-tuning Aligns LLMs to the Human Brain
by: Aw, Khai Loong, et al.
Published: (2023)

Rational Metareasoning for Large Language Models
by: De Sabbata, C. Nicolò, et al.
Published: (2024)

Khattat: Enhancing Readability and Concept Representation of Semantic Typography
by: Hussein, Ahmed, et al.
Published: (2024)

Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization
by: AlKhamissi, Badr, et al.
Published: (2025)

"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models
by: Halevy, Karina, et al.
Published: (2024)

Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word--Definition Alignment
by: ElBakry, Ahmed, et al.
Published: (2023)

Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention
by: Behjati, Melika, et al.
Published: (2021)

Robust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked Reconstruction
by: Filvantorkaman, Melika, et al.
Published: (2026)

Improving Acoustic Side-Channel Attacks on Keyboards Using Transformers and Large Language Models
by: Park, Jin Hyun, et al.
Published: (2025)

Large Language Models Align with the Human Brain during Creative Thinking
by: Ismayilzada, Mete, et al.
Published: (2026)

Introducing HALC: A general pipeline for finding optimal prompting strategies for automated coding with LLMs in the computational social sciences
by: Reich, Andreas, et al.
Published: (2025)

Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models
by: Sahili, Zahraa Al, et al.
Published: (2025)

Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection
by: Huber, Marius, et al.
Published: (2026)

Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
by: Gokce, Abdulkadir, et al.
Published: (2024)

A Vision Check-up for Language Models
by: Sharma, Pratyusha, et al.
Published: (2024)

Model-Guided Microstimulation Steers Primate Visual Behavior
by: Mehrer, Johannes, et al.
Published: (2025)

Developing a Dyslexia Indicator Using Eye Tracking
by: Cogan, Kevin, et al.
Published: (2025)

Red-Teaming for Inducing Societal Bias in Large Language Models
by: Luo, Chu Fei, et al.
Published: (2024)

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
by: Kim, Seungone, et al.
Published: (2023)

Analyzing Fairness of Computer Vision and Natural Language Processing Models
by: Rashed, Ahmed, et al.
Published: (2024)

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge
by: Yeats, Eric, et al.
Published: (2025)

Development of Pre-Trained Transformer-based Models for the Nepali Language
by: Thapa, Prajwal, et al.
Published: (2024)

Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings
by: Sharma, Kartik, et al.
Published: (2025)

VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions
by: Nguyen, Thu Phuong, et al.
Published: (2025)

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
by: Luo, Yaxin, et al.
Published: (2026)

Function Vectors in Large Language Models
by: Todd, Eric, et al.
Published: (2023)

Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language
by: Islam, Md Robiul, et al.
Published: (2024)

Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
by: Liu, Yudong, et al.
Published: (2025)

CoLa: Learning to Interactively Collaborate with Large Language Models
by: Sharma, Abhishek, et al.
Published: (2025)