Central evaluation examples include:
AI Researchers' Views on Automating AI R&D and Intelligence Explosions
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Authors:
Severin Field
Date:
March 14, 2026
Citations:
0
Frontier Models Can Take Actions at Low Probabilities
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Authors:
Alex Serrano, Wen Xing
Date:
March 11, 2026
Citations:
0
Can Aha Moments Be Fake? Identifying True and Decorative Thinking Steps in Chain-of-Thought
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Authors:
Jiachen Zhao
Date:
March 10, 2026
Citations:
2
SL5 Standard for AI Security
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Authors:
Yoav Tzfati
Date:
March 11, 2026
Citations:
0
Emergent Misalignment is Easy, Narrow Misalignment is Hard
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Authors:
Anna Soligo, Ed Turner
Date:
March 10, 2026
Citations:
0
Haiku to Opus in Just 10 bits: LLMs Unlock Massive Compression Gains
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Authors:
Roy Rinberg
Date:
March 11, 2026
Citations:
0
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
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Authors:
Helena Casademunt , Bartosz Cywiński, Khoi Tran, Arya Jakkli
Date:
March 10, 2026
Citations:
0
Reasoning Models Struggle to Control their Chains of Thought
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Authors:
John Chen, Robert McCarthy, Bruce Lee
Date:
March 11, 2026
Citations:
0
Training Agents to Self-Report Misbehavior
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Authors:
Bruce Lee, John Chen
Date:
March 11, 2026
Citations:
0
Automatically Finding Reward Model Biases
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Authors:
Atticus Wang
Date:
March 10, 2026
Citations:
0
Large-scale online deanonymization with LLMs
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Authors:
Simon Lermen
Date:
March 9, 2026
Citations:
0
The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
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Authors:
Christina Lu
Date:
March 10, 2026
Citations:
10
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems
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Authors:
Leon Staufer, Mick Yang
Date:
March 10, 2026
Citations:
0
Eliciting Harmful Capabilities by Fine-Tuning on Safeguarded Outputs
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Authors:
Jackson Kaunismaa
Date:
March 10, 2026
Citations:
4
SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data
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Authors:
David Chanin
Date:
March 10, 2026
Citations:
0
How does information access affect LLM monitors' ability to detect sabotage?
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Authors:
Raja Moreno, Rohan Subramani
Date:
February 16, 2026
Citations:
0
Prompt Optimization Makes Misalignment Legible
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Authors:
Caleb Biddulph
Date:
March 11, 2026
Citations:
0
Simple LLM Baselines are Competitive for Model Diffing
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Authors:
Elias Kempf, Bartosz Cywiński
Date:
March 10, 2026
Citations:
0
Biases in the Blind Spot: Detecting What LLMs Fail to Mention
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Authors:
Iván Arcuschin Moreno
Date:
March 10, 2026
Citations:
1
What Happens When Superhuman AIs Compete for Control?
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Authors:
Steven Veld
Date:
March 11, 2026
Citations:
0
Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought
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Authors:
James Chua, Edward Rees, Hunar Batra
Date:
March 10, 2026
Citations:
25
AI Futures Model: Timelines & Takeoff
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Authors:
Brendan Halstead, Alex Kastner
Date:
March 11, 2026
Citations:
0
Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors
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Authors:
Max McGuinness
Date:
March 10, 2026
Citations:
2
Recontextualization Mitigates Specification Gaming without Modifying the Specification
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Authors:
Ariana Azarbal, Victor Gillioz
Date:
March 10, 2026
Citations:
6
Bloom: an open source tool for automated behavioral evaluations
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Authors:
Isha Gupta
Date:
March 11, 2026
Citations:
0
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
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Authors:
Adam Karvonen
Date:
March 10, 2026
Citations:
5
Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
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Authors:
Austin James Meek, Iván Arcuschin Moreno
Date:
March 10, 2026
Citations:
1
Petri: An open-source auditing tool to accelerate AI safety research
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Authors:
Isha Gupta
Date:
March 11, 2026
Citations:
0
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
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Authors:
Jai Dhyani
Date:
March 10, 2026
Citations:
71
Incentivizing honest performative predictions with proper scoring rules
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Authors:
Johannes Treutlein, Jeremy Rubinoff (Rubi J. Hudson)
Date:
March 10, 2026
Citations:
11
Probing by Analogy: Decomposing Probes into Activations for Better Interpretability and Inter-Model Generalization
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Authors:
Patrick Leask
Date:
March 11, 2026
Citations:
0
Real-Time Detection of Hallucinated Entities in Long-Form Generation
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Authors:
Oscar Balcells Obeso, Andy Arditi, Javier Ferrando Monsonis
Date:
March 10, 2026
Citations:
10
Reasoning Under Pressure: How do Training Incentives Influence Chain-of-Thought Monitorability?
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Authors:
Qiyao Wei
Date:
March 10, 2026
Citations:
1
Uncertainty-Aware Policy-Preserving Abstractions with Abstention for One-Shot Decisions
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Authors:
Sandy Tanwisuth
Date:
March 11, 2026
Citations:
0
Inoculation Prompting: Eliciting traits from LLMs during training can suppress them at test-time
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Authors:
Daniel Tan
Date:
March 10, 2026
Citations:
8
Towards a unified and verified understanding of group-operation networks
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Authors:
Wilson Wu, Louis Jaburi, Jacob Drori
Date:
March 10, 2026
Citations:
3
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
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Authors:
Sumeet Motwani, Andis Draguns, Andrew Gritsevskiy
Date:
March 10, 2026
Citations:
5
Simple Mechanistic Explanations for Out-Of-Context Reasoning
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Authors:
Atticus Wang, Joshua Engels
Date:
March 10, 2026
Citations:
4
Compact Proofs of Model Performance via Mechanistic Interpretability
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Authors:
Thomas Kwa
Date:
March 10, 2026
Citations:
13
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
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Authors:
Joshua Engels
Date:
March 10, 2026
Citations:
65
Tell, don't show: Declarative facts influence how LLMs generalize
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Authors:
Alexander Meinke
Date:
March 10, 2026
Citations:
10
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
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Authors:
Aidan Ewart, Aengus Lynch, Phillip Guo, Cindy Wu, Vivek Hebbar
Date:
March 10, 2026
Citations:
114
A Causal Model of Theory-of-Mind in AI Agents
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Authors:
Jack Foxabbott
Date:
December 19, 2025
Citations:
0
Towards Understanding Sycophancy in Language Models
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Authors:
Meg Tong
Date:
March 10, 2026
Citations:
582
Explorations of Self-Repair in Language Models
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Authors:
Cody Rushing
Date:
March 10, 2026
Citations:
21
Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
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Authors:
Sharan Maiya
Date:
March 10, 2026
Citations:
4
Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
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Authors:
David Chanin
Date:
March 10, 2026
Citations:
5
Linear Representations of Sentiment in Large Language Models
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Authors:
Oskar John Hollinsworth, Curt Tigges
Date:
March 10, 2026
Citations:
135
Analyzing Probabilistic Methods for Evaluating Agent Capabilities
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Authors:
Axel Højmark, Govind Pimpale, Arjun Panickssery
Date:
March 10, 2026
Citations:
4
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
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Authors:
Caden Juang, Julian Minder, Clément Dumas, Bilal Chughtai
Date:
March 10, 2026
Citations:
10
Adversarial Circuit Evaluation
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Authors:
Niels uit de Bos
Date:
March 10, 2026
Citations:
2
SolidGoldMagikarp (plus, prompt generation)
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Authors:
Jessica Cooper (Rumbelow), Matthew Watkins
Date:
March 10, 2026
Citations:
18
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
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Authors:
Annah Dombrowski
Date:
March 10, 2026
Citations:
346
Base Models Know How to Reason, Thinking Models Learn When
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Authors:
Constantin Venhoff, Iván Arcuschin Moreno
Date:
March 10, 2026
Citations:
9
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
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Authors:
Thomas Kwa, Drake Thomas
Date:
March 10, 2026
Citations:
6
Estimating the Empowerment of Language Model Agents
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Authors:
Jinyeop Song
Date:
March 10, 2026
Citations:
1
Taken out of context: On measuring situational awareness in LLMs
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Authors:
Lukas Berglund, Asa Cooper Stickland , Max Kaufmann, Meg Tong
Date:
March 10, 2026
Citations:
109
Gradient Routing: Masking Gradients to Localize Computation in Neural Networks
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Authors:
Joseph Miller, Alex Cloud, Jacob Goldman-Wetzler, Evžen Wybitul
Date:
March 10, 2026
Citations:
18
Eliciting Secret Knowledge from Language Models
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Authors:
Bartosz Cywiński, Emil Ryd, Rowan Wang
Date:
March 10, 2026
Citations:
8
Control Tax: The Price of Keeping AI in Check
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Authors:
Zhen Ning David Liu, Mikhail Terekhov
Date:
March 10, 2026
Citations:
3
Resisting RL Elicitation of Biosecurity Capabilities: Reasoning Models Exploration Hacking on WMDP
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Authors:
Joschka Braun, Damon Falck, Yeonwoo Jang
Date:
March 11, 2026
Citations:
0
Large Language Models Often Know When They Are Being Evaluated
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Authors:
Joseph Needham, Giles Edkins, Govind Pimpale
Date:
March 10, 2026
Citations:
35
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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Authors:
Jordan Taylor
Date:
March 10, 2026
Citations:
58
Planning in a recurrent neural network that plays Sokoban
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Authors:
Maximilian Li
Date:
March 10, 2026
Citations:
11
Steering Evaluation-Aware Language Models to Act Like They Are Deployed
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Authors:
Tim Hua, Andrew Qin
Date:
March 10, 2026
Citations:
4
Optimizing AI Agent Attacks With Synthetic Data
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Authors:
Jonathan Kutasov, Chloe Loughridge, Tyler Tracy
Date:
March 10, 2026
Citations:
3
Public Perspectives on AI Governance: A Survey of Working Adults in California, Illinois, and New York
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Authors:
Claire Short
Date:
January 27, 2026
Citations:
0
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
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Authors:
Dan Valentine, James Chua
Date:
March 10, 2026
Citations:
25
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
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Authors:
Felix Hofstätter, Teun van der Weij
Date:
March 10, 2026
Citations:
72
Using Degeneracy in the Loss Landscape for Mechanistic Interpretability
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Authors:
Cindy Wu
Date:
March 10, 2026
Citations:
12
Secret Collusion Among Generative AI Agents
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Authors:
Sumeet Motwani
Date:
March 10, 2026
Citations:
61
Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape
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Authors:
Yashvardhan Sharma, Jakub Kryś
Date:
January 21, 2026
Citations:
0
Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders
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Authors:
David Chanin
Date:
March 10, 2026
Citations:
7
Distillation Robustifies Unlearning
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Authors:
Adeline (Addie) Foote, Alexander Infanger, Eleni Shor, Harish Kamath, Jacob Goldman-Wetzler
Date:
March 10, 2026
Citations:
6
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
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Authors:
Sander Schulhoff
Date:
March 10, 2026
Citations:
29
Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences
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Authors:
Clément Dumas, Julian Minder, Helena Casademunt
Date:
March 10, 2026
Citations:
5
BatchTopK Sparse Autoencoders
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Authors:
Patrick Leask, Bart Bussmann
Date:
March 10, 2026
Citations:
67
Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks
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Authors:
Su Hyeong Lee
Date:
December 14, 2025
Citations:
0
Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition
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Authors:
Brianna Chrisman
Date:
March 10, 2026
Citations:
3
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
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Authors:
Jonathan Ng, Hanlin Zhang
Date:
March 10, 2026
Citations:
178
Auditing language models for hidden objectives
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Authors:
Florian Dietz, Kei Nishimura-Gasparian, Jeanne Salle
Date:
March 10, 2026
Citations:
33
Towards eliciting latent knowledge from LLMs with mechanistic interpretability
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Authors:
Bartosz Cywiński, Emil Ryd
Date:
March 10, 2026
Citations:
6
On Defining Neural Averaging
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Authors:
Su Hyeong Lee
Date:
December 17, 2025
Citations:
0
Transcoders Find Interpretable LLM Feature Circuits
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Authors:
Jacob Dunefsky, Philippe Chlenski
Date:
March 10, 2026
Citations:
108
Too Late to Recall: The Two-Hop Problem in Multimodal Knowledge Retrieval
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Authors:
Constantin Venhoff
Date:
December 17, 2025
Citations:
0
Convergent Linear Representations of Emergent Misalignment
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Authors:
Ed Turner, Anna Soligo
Date:
March 10, 2026
Citations:
26
Understanding Reasoning in Thinking Language Models via Steering Vectors
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Authors:
Constantin Venhoff
Date:
March 10, 2026
Citations:
50
Quantifying stability of non-power-seeking in artificial agents
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Authors:
Evan Ryan Gunter, Yevgeny Liokumovich
Date:
March 10, 2026
Citations:
2
Understanding and Controlling a Maze-Solving Policy Network
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Authors:
Ulisse Mini, Peli Grietzer
Date:
March 10, 2026
Citations:
22
Steering Language Models With Activation Engineering
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Authors:
Lisa Thiergart, David Udell, Ulisse Mini
Date:
March 10, 2026
Citations:
384
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
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Authors:
Bart Bussmann, Adam Karvonen
Date:
March 10, 2026
Citations:
68
MISR: Measuring Instrumental Self-Reasoning in Frontier Models
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Authors:
Kai Fronsdal
Date:
March 10, 2026
Citations:
1
Sparse Autoencoders Find Highly Interpretable Features in Language Models
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Authors:
Hoagy Cunningham
Date:
March 10, 2026
Citations:
911
Interpretability as Compression: Reconsidering SAE Explanations of Neural Activations with MDL-SAEs
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Authors:
Kola Ayonrinde, Michael Pearce
Date:
March 10, 2026
Citations:
16
Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks
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Authors:
Adam Karvonen, Can Rager
Date:
March 10, 2026
Citations:
9
Studying Cross-cluster Modularity in Neural Networks
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Authors:
Satvik Golechha
Date:
March 10, 2026
Citations:
1
Audit Cards: Contextualizing AI Evaluations
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Authors:
Leon Staufer, Mick Yang
Date:
March 10, 2026
Citations:
7
Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning
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Authors:
Marvin Li, Andy Arditi
Date:
March 10, 2026
Citations:
8
A Benchmark for Scalable Oversight Protocols
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Authors:
Jackson Kaunismaa, Arjun Panickssery
Date:
March 10, 2026
Citations:
1
Language Models Learn to Mislead Humans via RLHF
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Authors:
Jiaxin Wen
Date:
March 10, 2026
Citations:
91
The MATS Program is a 12-week research fellowship designed to train and support emerging researchers working on AI alignment, interpretability, governance, and safety. Fellows collaborate with world-class mentors, receive dedicated research management support, and join a vibrant community in Berkeley focused on advancing safe and reliable AI. The program provides the structure, resources, and mentorship needed to produce impactful research and launch long-term careers in AI safety.
MATS mentors are leading researchers from a broad range of AI safety, alignment, governance, interpretability, and security domains. They include academics, industry researchers, and independent experts who guide scholars through research projects, provide feedback, and help shape each scholar’s growth as a researcher. The mentors represent expertise in areas such as:
Key dates
Application:
The main program will then run from early June to late August, with the extension phase for accepted fellows beginning in September.
MATS accepts applicants from diverse academic and professional backgrounds ranging from machine learning, mathematics, and computer science to policy, economics, physics, and cognitive science. The primary requirements are strong motivation to contribute to AI safety and evidence of technical aptitude or research potential. Prior AI safety experience is helpful but not required.
Applicants submit a general application, applying to various tracks (technical governance, empirical, policy & strategy, theory, and compute governance) and streams within those tracks.
After a centralized review period, applicants who are advanced will then undergo additional evaluations depending on the preferences of the streams they've applied to before doing final interviews and receiving offers.
For more information on how to get into MATS, please look at this page.