:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Swain, Monorama, Maji, Bubai, Mishra, Jagabandhu, Schedl, Markus, Søgaard, Anders, Jensen, Jesper Rindom
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2510.18374
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG
by: Elchafei, Passant, et al.
Published: (2026)

H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations
by: Elchafei, Passant, et al.
Published: (2026)

Implicit Self-supervised Language Representation for Spoken Language Diarization
by: Mishra, Jagabandhu, et al.
Published: (2023)

Evaluation Revisited: A Taxonomy of Evaluation Concerns in Natural Language Processing
by: Dhar, Ruchira, et al.
Published: (2026)

Factual Consistency of Multilingual Pretrained Language Models
by: Fierro, Constanza, et al.
Published: (2022)

Revisiting the Othello World Model Hypothesis
by: Yuan, Yifei, et al.
Published: (2025)

Concept Space Alignment in Multilingual LLMs
by: Peng, Qiwei, et al.
Published: (2024)

EvalCards: A Framework for Standardized Evaluation Reporting
by: Dhar, Ruchira, et al.
Published: (2025)

POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan
by: Moscati, Marta, et al.
Published: (2026)

WAXAL-NET: Finetuned Edge ASR Across 19 African Languages
by: Olufemi, Victor Tolulope, et al.
Published: (2026)

Understanding Subword Compositionality of Large Language Models
by: Peng, Qiwei, et al.
Published: (2025)

Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
by: Furniturewala, Shaz, et al.
Published: (2024)

How Do Multilingual Language Models Remember Facts?
by: Fierro, Constanza, et al.
Published: (2024)

From Words to Worlds: Compositionality for Cognitive Architectures
by: Dhar, Ruchira, et al.
Published: (2024)

Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications
by: Cui, Can, et al.
Published: (2024)

Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR
by: Bai, Junwen, et al.
Published: (2024)

Efficient Multilingual ASR Finetuning via LoRA Language Experts
by: Li, Jiahong, et al.
Published: (2025)

Prompting Fairness: Integrating Causality to Debias Large Language Models
by: Li, Jingling, et al.
Published: (2024)

Does Instruction Tuning Make LLMs More Consistent?
by: Fierro, Constanza, et al.
Published: (2024)

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
by: Masoudian, Shahed, et al.
Published: (2024)

Trick or Neat: Adversarial Ambiguity and Language Model Evaluation
by: Karamolegkou, Antonia, et al.
Published: (2025)

Defining Knowledge: Bridging Epistemology and Large Language Models
by: Fierro, Constanza, et al.
Published: (2024)

MuLan: A Study of Fact Mutability in Language Models
by: Fierro, Constanza, et al.
Published: (2024)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
by: Kim, To Eun, et al.
Published: (2024)

MSA-ASR: Efficient Multilingual Speaker Attribution with frozen ASR Models
by: Nguyen, Thai-Binh, et al.
Published: (2024)

Evaluating Adjective-Noun Compositionality in LLMs: Functional vs Representational Perspectives
by: Dhar, Ruchira, et al.
Published: (2026)

Metric-Fair Prompting: Treating Similar Samples Similarly
by: Wang, Jing, et al.
Published: (2025)

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
by: Wu, Xuyang, et al.
Published: (2024)

Collapsed Language Models Promote Fairness
by: Xu, Jingxuan, et al.
Published: (2024)

Intersectional Fairness in Large Language Models
by: Boufaied, Chaima, et al.
Published: (2026)

A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
by: Ranaldi, Leonardo, et al.
Published: (2023)

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
by: Epure, Elena V., et al.
Published: (2025)

On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection
by: Elsafoury, Fatma, et al.
Published: (2023)

Why Don't Prompt-Based Fairness Metrics Correlate?
by: Zayed, Abdelrahman, et al.
Published: (2024)

Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
by: Li, Jiaang, et al.
Published: (2023)

Investigating Gender Bias in LLM-Generated Stories via Psychological Stereotypes
by: Masoudian, Shahed, et al.
Published: (2025)

Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations
by: Shailya, Krithi, et al.
Published: (2025)

Comprehensive Reassessment of Large-Scale Evaluation Outcomes in LLMs: A Multifaceted Statistical Approach
by: Sun, Kun, et al.
Published: (2024)

Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
by: Yuan, Yifei, et al.
Published: (2024)

WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset
by: Ribeiro, Tiago, et al.
Published: (2023)