Cover Image

Do Language Models Know When They're Hallucinating References?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Agrawal, Ayush, Suzgun, Mirac, Mackey, Lester, Kalai, Adam Tauman
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
by: Suzgun, Mirac, et al.
Published: (2024)

Calibrated Language Models Must Hallucinate
by: Kalai, Adam Tauman, et al.
Published: (2023)

Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
by: Zelikman, Eric, et al.
Published: (2023)

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)

Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
by: Zhang, Anqi, et al.
Published: (2025)

Do Androids Know They're Only Dreaming of Electric Sheep?
by: CH-Wang, Sky, et al.
Published: (2023)

Cost-of-Pass: An Economic Framework for Evaluating Language Models
by: Erol, Mehmet Hamza, et al.
Published: (2025)

Why Language Models Hallucinate
by: Kalai, Adam Tauman, et al.
Published: (2025)

Do Small Language Models Know When They're Wrong? Confidence-Based Cascade Scoring for Educational Assessment
by: Burleigh, Tyler
Published: (2026)

Consensus Sampling for Safer Generative AI
by: Kalai, Adam Tauman, et al.
Published: (2025)

Do Retrieval Augmented Language Models Know When They Don't Know?
by: Zhou, Youchao, et al.
Published: (2025)

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
by: Suzgun, Mirac, et al.
Published: (2024)

Thinking Out Loud: Do Reasoning Models Know When They're Right?
by: Zeng, Qingcheng, et al.
Published: (2025)

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
by: Ferrando, Javier, et al.
Published: (2024)

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?
by: Mei, Zhiting, et al.
Published: (2025)

Language Models' Factuality Depends on the Language of Inquiry
by: Aggarwal, Tushar, et al.
Published: (2025)

Do Large Language Models Know What They Are Capable Of?
by: Barkan, Casey O., et al.
Published: (2025)

When Context Leads but Parametric Memory Follows in Large Language Models
by: Tao, Yufei, et al.
Published: (2024)

Large Language Models Often Know When They Are Being Evaluated
by: Needham, Joe, et al.
Published: (2025)

Do Large Language Models Know How Much They Know?
by: Prato, Gabriele, et al.
Published: (2025)

Reference-free Hallucination Detection for Large Vision-Language Models
by: Li, Qing, et al.
Published: (2024)

Graphing the Truth: Structured Visualizations for Automated Hallucination Detection in LLMs
by: Agrawal, Tanmay
Published: (2025)

Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
by: Zhang, Yue, et al.
Published: (2026)

KnowRL: Teaching Language Models to Know What They Know
by: Kale, Sahil, et al.
Published: (2025)

Adapting Language Models via Token Translation
by: Feng, Zhili, et al.
Published: (2024)

Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG
by: Chen, Xinxi, et al.
Published: (2024)

What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"
by: Lee, Joosung, et al.
Published: (2026)

First-Person Fairness in Chatbots
by: Eloundou, Tyna, et al.
Published: (2024)

How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
by: Islam, Saad Obaid ul, et al.
Published: (2025)

The First Token Knows: Single-Decode Confidence for Hallucination Detection
by: Gabriel, Mina
Published: (2026)

Do LLMs Signal When They're Right? Evidence from Neuron Agreement
by: Chen, Kang, et al.
Published: (2025)

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models
by: Tao, Yufei, et al.
Published: (2025)

Alleviating Hallucinations of Large Language Models through Induced Hallucinations
by: Zhang, Yue, et al.
Published: (2023)

On Non-interactive Evaluation of Animal Communication Translators
by: Paradise, Orr, et al.
Published: (2025)

Knowing When Not to Answer: Abstention-Aware Scientific Reasoning
by: Abdaljalil, Samir, et al.
Published: (2026)

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting
by: Nemkova, Apollinaire Poli, et al.
Published: (2025)

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
by: Machcha, Sravanthi, et al.
Published: (2026)

Hallucination Detection with Small Language Models
by: Cheung, Ming
Published: (2025)

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
by: Zhou, Cai, et al.
Published: (2025)

BertaQA: How Much Do Language Models Know About Local Culture?
by: Etxaniz, Julen, et al.
Published: (2024)