‘truesight (stylometry)’ directory
- See Also
-
Links
- “Thoughts While Watching Myself Be Automated ”, Dynomight 2024
- “Investigating the Ability of LLMs to Recognize Their Own Writing ”, Ackerman & Panickssery 2024
- “Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs ”, Laine et al 2024
- “Future Events As Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs ”, Price et al 2024
- “Connecting the Dots: LLMs Can Infer and Verbalize Latent Structure from Disparate Training Data ”, Treutlein et al 2024
- “Designing a Dashboard for Transparency and Control of Conversational AI ”, Chen et al 2024
- “LLM Evaluators Recognize and Favor Their Own Generations ”, Panickssery et al 2024
- “Surfing the OCEAN: The Machine Learning Psycholexical Approach 2.0 to Detect Personality Traits in Texts ”, Giannini et al 2024
- “Beyond Memorization: Violating Privacy Via Inference With Large Language Models ”, Staab et al 2023
- “Taken out of Context: On Measuring Situational Awareness in LLMs ”, Berglund et al 2023
- “PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits ”, Jiang et al 2023
- “Truesight ”
- “Situational Awareness and Out-Of-Context Reasoning § GPT-4-Base Has Non-Zero Longform Performance ”, Evans 2025
- “Situational Awareness in Large Language Models ”
- “Me, Myself, and AI: the Situational Awareness Dataset (SAD) for LLMs ”
- “Language Models Model Us ”
- “The Case for More Ambitious Language Model Evals ”
- “The Case for More Ambitious Language Model Evals ”
- “The Case for More Ambitious Language Model Evals ”
- “Early Situational Awareness and Its Implications, a Story ”
- “One Shockingly Impressive Capability of GPT-4.5 [Photo Geolocation] ”
- Miscellaneous
- Bibliography
See Also
Links
“Thoughts While Watching Myself Be Automated ”, Dynomight 2024
“Investigating the Ability of LLMs to Recognize Their Own Writing ”, Ackerman & Panickssery 2024
Investigating the Ability of LLMs to Recognize Their Own Writing
“Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs ”, Laine et al 2024
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs
“Future Events As Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs ”, Price et al 2024
Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs
“Connecting the Dots: LLMs Can Infer and Verbalize Latent Structure from Disparate Training Data ”, Treutlein et al 2024
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
“Designing a Dashboard for Transparency and Control of Conversational AI ”, Chen et al 2024
Designing a Dashboard for Transparency and Control of Conversational AI
“LLM Evaluators Recognize and Favor Their Own Generations ”, Panickssery et al 2024
“Surfing the OCEAN: The Machine Learning Psycholexical Approach 2.0 to Detect Personality Traits in Texts ”, Giannini et al 2024
“Beyond Memorization: Violating Privacy Via Inference With Large Language Models ”, Staab et al 2023
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
“Taken out of Context: On Measuring Situational Awareness in LLMs ”, Berglund et al 2023
Taken out of context: On measuring situational awareness in LLMs
“PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits ”, Jiang et al 2023
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
“Truesight ”
“Situational Awareness and Out-Of-Context Reasoning § GPT-4-Base Has Non-Zero Longform Performance ”, Evans 2025
Situational Awareness and Out-Of-Context Reasoning § GPT-4-base has Non-Zero Longform Performance
“Situational Awareness in Large Language Models ”
“Me, Myself, and AI: the Situational Awareness Dataset (SAD) for LLMs ”
Me, Myself, and AI: the Situational Awareness Dataset (SAD) for LLMs :
“Language Models Model Us ”
“The Case for More Ambitious Language Model Evals ”
“The Case for More Ambitious Language Model Evals ”
“The Case for More Ambitious Language Model Evals ”
“Early Situational Awareness and Its Implications, a Story ”
“One Shockingly Impressive Capability of GPT-4.5 [Photo Geolocation] ”
One shockingly impressive capability of GPT-4.5 [photo geolocation]
Miscellaneous
Bibliography
-
https://dynomight.net/automated/: “Thoughts While Watching Myself Be Automated ”, -
https://www.lesswrong.com/posts/ADrTuuus6JsQr5CSi/investigating-the-ability-of-llms-to-recognize-their-own: “Investigating the Ability of LLMs to Recognize Their Own Writing ”, -
https://arxiv.org/abs/2407.04694: “Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs ”, -
https://arxiv.org/abs/2407.04108: “Future Events As Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs ”, -
https://arxiv.org/abs/2406.07882: “Designing a Dashboard for Transparency and Control of Conversational AI ”, -
https://arxiv.org/abs/2404.13076: “LLM Evaluators Recognize and Favor Their Own Generations ”, -
https://arxiv.org/abs/2309.00667: “Taken out of Context: On Measuring Situational Awareness in LLMs ”,