:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pawar, Siddhesh Milind, Masud, Sarah, Yoo, Haneul, Oh, Alice, Augenstein, Isabelle
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2606.02493
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Presumed Cultural Identity: How Names Shape LLM Responses
by: Pawar, Siddhesh, et al.
Published: (2025)

BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Elicitation
by: Islam, Sekh Mainul, et al.
Published: (2025)

Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models
by: Yu, Haeun, et al.
Published: (2025)

OLA: Output Language Alignment in Code-Switched LLM Interactions
by: Oh, Juhyun, et al.
Published: (2026)

On the Effect of Uncertainty on Layer-wise Inference Dynamics
by: Kim, Sunwoo, et al.
Published: (2025)

Survey of Cultural Awareness in Language Models: Text and Beyond
by: Pawar, Siddhesh, et al.
Published: (2024)

Code-Switching In-Context Learning for Cross-Lingual Transfer of Large Language Models
by: Yoo, Haneul, et al.
Published: (2025)

CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean
by: Kim, Eunsu, et al.
Published: (2024)

DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing
by: Yoo, Haneul, et al.
Published: (2024)

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation
by: Kim, Eunsu, et al.
Published: (2025)

Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents
by: Song, Seyoung, et al.
Published: (2024)

HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja
by: Song, Seyoung, et al.
Published: (2025)

Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025
by: Augenstein, Isabelle
Published: (2026)

Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
by: Yoo, Haneul, et al.
Published: (2024)

Multi-Modal Framing Analysis of News
by: Arora, Arnav, et al.
Published: (2025)

Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding
by: Yoo, Haneul, et al.
Published: (2024)

KoBBQ: Korean Bias Benchmark for Question Answering
by: Jin, Jiho, et al.
Published: (2023)

Aggregating Soft Labels from Crowd Annotations Improves Uncertainty Estimation Under Distribution Shift
by: Wright, Dustin, et al.
Published: (2022)

Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts
by: Song, Seyoung, et al.
Published: (2025)

Translating Hanja Historical Documents to Contemporary Korean and English
by: Son, Juhee, et al.
Published: (2022)

Can Community Notes Replace Professional Fact-Checkers?
by: Borenstein, Nadav, et al.
Published: (2025)

ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education
by: Han, Jieun, et al.
Published: (2023)

RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education
by: Han, Jieun, et al.
Published: (2024)

LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction
by: Han, Jieun, et al.
Published: (2023)

Quantifying Gender Biases Towards Politicians on Reddit
by: Marjanovic, Sara, et al.
Published: (2021)

Expanding Computation Spaces of LLMs at Inference Time
by: Jang, Yoonna, et al.
Published: (2025)

MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty
by: Yang, Yongjin, et al.
Published: (2024)

One-Topic-Doesn't-Fit-All: Transcreating Reading Comprehension Test for Personalized Learning
by: Han, Jieun, et al.
Published: (2025)

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection
by: Hakimi, Ahmad Dawar, et al.
Published: (2026)

Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance
by: Seegmiller, Parker, et al.
Published: (2026)

Epistemic Diversity and Knowledge Collapse in Large Language Models
by: Wright, Dustin, et al.
Published: (2025)

Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
by: Warren, Greta, et al.
Published: (2025)

Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
by: Arora, Arnav, et al.
Published: (2022)

Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics
by: Pauli, Amalie Brogaard, et al.
Published: (2025)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
by: Roitero, Kevin, et al.
Published: (2025)

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations
by: Cao, Yong, et al.
Published: (2025)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)

How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting
by: Seegmiller, Parker, et al.
Published: (2026)

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
by: Kaffee, Lucie-Aimée, et al.
Published: (2023)

Investigating the Impact of Model Instability on Explanations and Uncertainty
by: Marjanović, Sara Vera, et al.
Published: (2024)