MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Han, Sun, Yifan, Ko, Brian, Talati, Mann, Gong, Jiawen, Li, Zimeng, Yu, Naicheng, Yu, Xucheng, Shen, Wei, Jolly, Vedant, Zhang, Huan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors
by: Yu, Kuai, et al.
Published: (2026)
by: Yu, Kuai, et al.
Published: (2026)
CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
by: Padwal, Vedant
Published: (2026)
by: Padwal, Vedant
Published: (2026)
MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
by: Hu, Jingyu, et al.
Published: (2025)
by: Hu, Jingyu, et al.
Published: (2025)
The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
by: Onyame, Eric, et al.
Published: (2026)
by: Onyame, Eric, et al.
Published: (2026)
When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
by: Emmons, Scott, et al.
Published: (2025)
by: Emmons, Scott, et al.
Published: (2025)
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
by: Qi, Yukun, et al.
Published: (2025)
by: Qi, Yukun, et al.
Published: (2025)
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
by: Shao, Hao, et al.
Published: (2024)
by: Shao, Hao, et al.
Published: (2024)
A Pragmatic Way to Measure Chain-of-Thought Monitorability
by: Emmons, Scott, et al.
Published: (2025)
by: Emmons, Scott, et al.
Published: (2025)
Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
by: Meek, Austin, et al.
Published: (2025)
by: Meek, Austin, et al.
Published: (2025)
ERGeoBench:A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models
by: Xue, Kaiwen, et al.
Published: (2026)
by: Xue, Kaiwen, et al.
Published: (2026)
FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning
by: Shen, Xu, et al.
Published: (2025)
by: Shen, Xu, et al.
Published: (2025)
Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
by: Anwar, Usman, et al.
Published: (2026)
by: Anwar, Usman, et al.
Published: (2026)
CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring
by: Arnav, Benjamin, et al.
Published: (2025)
by: Arnav, Benjamin, et al.
Published: (2025)
Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring
by: Lin, Shuxin, et al.
Published: (2025)
by: Lin, Shuxin, et al.
Published: (2025)
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language Models
by: Yu, Wenhan, et al.
Published: (2025)
by: Yu, Wenhan, et al.
Published: (2025)
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
by: Li, Lijun, et al.
Published: (2024)
by: Li, Lijun, et al.
Published: (2024)
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
by: Jin, Bowen, et al.
Published: (2024)
by: Jin, Bowen, et al.
Published: (2024)
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
by: Korbak, Tomek, et al.
Published: (2025)
by: Korbak, Tomek, et al.
Published: (2025)
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
by: Qin, Jiawen, et al.
Published: (2024)
by: Qin, Jiawen, et al.
Published: (2024)
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
by: Song, Xiaoshuai, et al.
Published: (2024)
by: Song, Xiaoshuai, et al.
Published: (2024)
DecepChain: Inducing Deceptive Reasoning in Large Language Models
by: Shen, Wei, et al.
Published: (2025)
by: Shen, Wei, et al.
Published: (2025)
On The Fragility of Benchmark Contamination Detection in Reasoning Models
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, 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)
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
by: Jiao, Yuling, et al.
Published: (2026)
by: Jiao, Yuling, et al.
Published: (2026)
Data Manipulation in an XML-Based Digital Image Library
by: Chang, Naicheng
Published: (2005)
by: Chang, Naicheng
Published: (2005)
Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models
by: Jin, Feihu, et al.
Published: (2024)
by: Jin, Feihu, et al.
Published: (2024)
A Concrete Roadmap towards Safety Cases based on Chain-of-Thought Monitoring
by: Schulz, Julian
Published: (2025)
by: Schulz, Julian
Published: (2025)
LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring
by: Li, Chloe, et al.
Published: (2025)
by: Li, Chloe, et al.
Published: (2025)
Can Reasoning Models Obfuscate Reasoning? Stress-Testing Chain-of-Thought Monitorability
by: Zolkowski, Artur, et al.
Published: (2025)
by: Zolkowski, Artur, et al.
Published: (2025)
Integrating Large Language Models with Graphical Session-Based Recommendation
by: Guo, Naicheng, et al.
Published: (2024)
by: Guo, Naicheng, et al.
Published: (2024)
SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
by: Lv, Weijiang, et al.
Published: (2026)
by: Lv, Weijiang, et al.
Published: (2026)
T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning
by: Wang, Qinsi, et al.
Published: (2026)
by: Wang, Qinsi, et al.
Published: (2026)
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)
by: Ye, Jiacheng, et al.
Published: (2024)
Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
by: Chang, Wen-Yu, et al.
Published: (2024)
by: Chang, Wen-Yu, et al.
Published: (2024)
SupChain-Bench: Benchmarking Large Language Models for Real-World Supply Chain Management
by: Guan, Shengyue, et al.
Published: (2026)
by: Guan, Shengyue, et al.
Published: (2026)
SLEIGHT-Bench: A Benchmark of Evasion Attacks Against Agent Monitors
by: Najt, Elle, et al.
Published: (2026)
by: Najt, Elle, et al.
Published: (2026)
ViC-Bench: Benchmarking Visual-Interleaved Chain-of-Thought Capability in MLLMs with Free-Style Intermediate State Representations
by: Wu, Xuecheng, et al.
Published: (2025)
by: Wu, Xuecheng, et al.
Published: (2025)
MonitoringBench: Semi-Automated Red-Teaming for Agent Monitoring
by: Jotautaitė, Monika, et al.
Published: (2026)
by: Jotautaitė, Monika, et al.
Published: (2026)
Similar Items
-
How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors
by: Yu, Kuai, et al.
Published: (2026) -
CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
by: Padwal, Vedant
Published: (2026) -
MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
by: Hu, Jingyu, et al.
Published: (2025) -
The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
by: Onyame, Eric, et al.
Published: (2026) -
When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
by: Emmons, Scott, et al.
Published: (2025)