Cover Image

Whose Facts Win? LLM Source Preferences under Knowledge Conflicts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schuster, Jakob, Gautam, Vagrant, Markert, Katja
Format:	Preprint
Published:	2026
Subjects:	Computation and Language I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
by: Ahmad, Sarfraz, et al.
Published: (2025)

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
by: Wang, Yuxia, et al.
Published: (2024)

Integrating Causal Reasoning into Automated Fact-Checking
by: Rebboud, Youssra, et al.
Published: (2025)

Atomic Inference for NLI with Generated Facts as Atoms
by: Stacey, Joe, et al.
Published: (2023)

Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness
by: Ashuach, Tomer, et al.
Published: (2026)

Retrieve-Refine-Calibrate: A Framework for Complex Claim Fact-Checking
by: Sun, Mingwei, et al.
Published: (2026)

CRISP: Persistent Concept Unlearning via Sparse Autoencoders
by: Ashuach, Tomer, et al.
Published: (2025)

From Facts to Folklore: Evaluating Large Language Models on Bengali Cultural Knowledge
by: Chowdhury, Nafis, et al.
Published: (2025)

PersonalLLM: Tailoring LLMs to Individual Preferences
by: Zollo, Thomas P., et al.
Published: (2024)

ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation
by: Pozzi, Riccardo, et al.
Published: (2025)

Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization
by: Uhlig, Kaden, et al.
Published: (2024)

Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
by: Drchal, Jan, et al.
Published: (2023)

HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
by: Wang, Xintao, et al.
Published: (2026)

LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output
by: Karinshak, Elise, et al.
Published: (2024)

HACK: Hallucinations Along Certainty and Knowledge Axes
by: Simhi, Adi, et al.
Published: (2025)

Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
by: Stacey, Joe, et al.
Published: (2025)

Revisiting Word Embeddings in the LLM Era
by: Mahajan, Yash, et al.
Published: (2024)

Budget-Xfer: Budget-Constrained Source Language Selection for Cross-Lingual Transfer to African Languages
by: Idris, Tewodros Kederalah, et al.
Published: (2026)

Distinguishing Ignorance from Error in LLM Hallucinations
by: Simhi, Adi, et al.
Published: (2024)

Decoding-Free Sampling Strategies for LLM Marginalization
by: Pohl, David, et al.
Published: (2025)

Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via Consensus-Driven Preference Optimisation
by: Resck, Lucas, et al.
Published: (2026)

Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue
by: Ma, Longxuan, et al.
Published: (2024)

LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
by: Stacey, Joe, et al.
Published: (2024)

Automatic Task Detection and Heterogeneous LLM Speculative Decoding
by: Ge, Danying, et al.
Published: (2025)

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
by: Bian, Zhipeng, et al.
Published: (2026)

How Do Large Language Models Acquire Factual Knowledge During Pretraining?
by: Chang, Hoyeon, et al.
Published: (2024)

Sigmoid Head for Quality Estimation under Language Ambiguity
by: Dinh, Tu Anh, et al.
Published: (2026)

Intent Classification for Bank Chatbots through LLM Fine-Tuning
by: Lajčinová, Bibiána, et al.
Published: (2024)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
by: Zhang, Yizhuo, et al.
Published: (2024)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

LLMBridge: An LLM Pipeline for End-to-end Referential Bridging Resolution in English
by: Levine, Lauren, et al.
Published: (2026)

Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
by: Toroghi, Armin, et al.
Published: (2024)

Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation
by: Stewart, Ian, et al.
Published: (2024)

Select or Project? Evaluating Lower-dimensional Vectors for LLM Training Data Explanations
by: Hinterleitner, Lukas, et al.
Published: (2026)

Augmenting Dialog with Think-Aloud Utterances for Modeling Individual Personality Traits by LLM
by: Ishikura, Seiya, et al.
Published: (2025)

Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach
by: Dolphin, Rian, et al.
Published: (2024)

LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models
by: Fuad, Kazi Ahmed Asif, et al.
Published: (2024)

CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge
by: Guo, Willis, et al.
Published: (2024)

AsyncTLS: Efficient Generative LLM Inference with Asynchronous Two-level Sparse Attention
by: Hu, Yuxuan, et al.
Published: (2026)