Liars' Bench: Evaluating Lie Detectors for Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Kretschmar, Kieron, Laurito, Walter, Maiya, Sharan, Marks, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cluster-norm for Unsupervised Probing of Knowledge
by: Laurito, Walter, et al.
Published: (2024)
by: Laurito, Walter, et al.
Published: (2024)
The Polite Liar: Epistemic Pathology in Language Models
by: DeVilling, Bentley
Published: (2025)
by: DeVilling, Bentley
Published: (2025)
Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
by: Maiya, Sharan, et al.
Published: (2025)
by: Maiya, Sharan, et al.
Published: (2025)
Steering Evaluation-Aware Language Models to Act Like They Are Deployed
by: Hua, Tim Tian, et al.
Published: (2025)
by: Hua, Tim Tian, et al.
Published: (2025)
Generative AI for FFRDCs
by: Maiya, Arun S.
Published: (2025)
by: Maiya, Arun S.
Published: (2025)
Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas
by: Chiu, Yu Ying, et al.
Published: (2025)
by: Chiu, Yu Ying, et al.
Published: (2025)
OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit
by: Maiya, Arun S.
Published: (2025)
by: Maiya, Arun S.
Published: (2025)
Global-Liar: Factuality of LLMs over Time and Geographic Regions
by: Mirza, Shujaat, et al.
Published: (2024)
by: Mirza, Shujaat, et al.
Published: (2024)
EmoBench: Evaluating the Emotional Intelligence of Large Language Models
by: Sabour, Sahand, et al.
Published: (2024)
by: Sabour, Sahand, et al.
Published: (2024)
PsychCounsel-Bench: Evaluating the Psychology Intelligence of Large Language Models
by: Zeng, Min
Published: (2025)
by: Zeng, Min
Published: (2025)
LegalCiteBench: Evaluating Citation Reliability in Legal Language Models
by: Chen, Sijia, et al.
Published: (2026)
by: Chen, Sijia, et al.
Published: (2026)
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024)
by: Khandekar, Nikhil, et al.
Published: (2024)
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
by: Tu, Shangqing, et al.
Published: (2023)
by: Tu, Shangqing, et al.
Published: (2023)
TurkBench: A Benchmark for Evaluating Turkish Large Language Models
by: Toraman, Çağrı, et al.
Published: (2026)
by: Toraman, Çağrı, et al.
Published: (2026)
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding
by: Zhang, Yazhou, et al.
Published: (2024)
by: Zhang, Yazhou, et al.
Published: (2024)
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
by: Yan, Jianhao, et al.
Published: (2024)
by: Yan, Jianhao, et al.
Published: (2024)
SalamahBench: Toward Standardized Safety Evaluation for Arabic Language Models
by: Abdelnasser, Omar, et al.
Published: (2026)
by: Abdelnasser, Omar, et al.
Published: (2026)
Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models
by: Ramjee, Sharan
Published: (2026)
by: Ramjee, Sharan
Published: (2026)
ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding
by: Li, Xiaozhe, et al.
Published: (2025)
by: Li, Xiaozhe, et al.
Published: (2025)
ArabicNumBench: Evaluating Arabic Number Reading in Large Language Models
by: Alhumud, Anas, et al.
Published: (2026)
by: Alhumud, Anas, et al.
Published: (2026)
InFoBench: Evaluating Instruction Following Ability in Large Language Models
by: Qin, Yiwei, et al.
Published: (2024)
by: Qin, Yiwei, et al.
Published: (2024)
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models
by: Geng, Saibo, et al.
Published: (2025)
by: Geng, Saibo, et al.
Published: (2025)
EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models
by: Paech, Samuel J.
Published: (2023)
by: Paech, Samuel J.
Published: (2023)
LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models
by: Olson, Matthew Lyle, et al.
Published: (2026)
by: Olson, Matthew Lyle, et al.
Published: (2026)
OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology
by: Zhou, Chengfeng, et al.
Published: (2025)
by: Zhou, Chengfeng, et al.
Published: (2025)
EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing
by: Gao, Fan, et al.
Published: (2025)
by: Gao, Fan, et al.
Published: (2025)
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
by: Parmar, Mihir, et al.
Published: (2024)
by: Parmar, Mihir, et al.
Published: (2024)
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
by: Chu, Zheng, et al.
Published: (2023)
by: Chu, Zheng, et al.
Published: (2023)
Robustly Improving LLM Fairness in Realistic Settings via Interpretability
by: Karvonen, Adam, et al.
Published: (2025)
by: Karvonen, Adam, et al.
Published: (2025)
Role-Playing Evaluation for Large Language Models
by: Boudouri, Yassine El, et al.
Published: (2025)
by: Boudouri, Yassine El, et al.
Published: (2025)
WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models
by: Yu, Yongan, et al.
Published: (2025)
by: Yu, Yongan, et al.
Published: (2025)
UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
MPCI-Bench: A Benchmark for Multimodal Pairwise Contextual Integrity Evaluation of Language Model Agents
by: Wang, Shouju, et al.
Published: (2026)
by: Wang, Shouju, et al.
Published: (2026)
ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
by: Kapadnis, Manav Nitin, et al.
Published: (2026)
by: Kapadnis, Manav Nitin, et al.
Published: (2026)
MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
by: Liu, Zheyuan, et al.
Published: (2026)
by: Liu, Zheyuan, et al.
Published: (2026)
PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology
by: Zhao, Yimin, et al.
Published: (2026)
by: Zhao, Yimin, et al.
Published: (2026)
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
by: LI, Yizhi, et al.
Published: (2024)
by: LI, Yizhi, et al.
Published: (2024)
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
by: Zhang, Mian, et al.
Published: (2024)
by: Zhang, Mian, et al.
Published: (2024)
BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)
by: Srivastava, Gaurav, et al.
Published: (2025)
Similar Items
-
Cluster-norm for Unsupervised Probing of Knowledge
by: Laurito, Walter, et al.
Published: (2024) -
The Polite Liar: Epistemic Pathology in Language Models
by: DeVilling, Bentley
Published: (2025) -
Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
by: Maiya, Sharan, et al.
Published: (2025) -
Steering Evaluation-Aware Language Models to Act Like They Are Deployed
by: Hua, Tim Tian, et al.
Published: (2025) -
Generative AI for FFRDCs
by: Maiya, Arun S.
Published: (2025)