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20222026
most citedNepotistically Trained Generative-AI Models Collapse

5 citations · 12 across the 23 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions

Nicole Mitchell, Dhruv Agarwal, Maty Bohacek +2

Language models have taken on the role of a very new type of technology, by virtue of their "human-ness" and rapid integration into users' daily lives. This combination of features…

cs.AI2026

Detecting and Controlling Sycophancy with Cascading Linear Features

Maty Bohacek, Rishub Jain, Nicholas Dufour +3

Interpreting and controlling model behaviors through activation steering methods requires many pairs of contrastive samples that clearly exhibit desired or undesired behavior. Thes…

cs.AI2026

Positive Alignment: Artificial Intelligence for Human Flourishing

Ruben Laukkonen, Seb Krier, Chloé Bakalar +13

Existing alignment research is dominated by concerns about safety and preventing harm: safeguards, controllability, and compliance. This paradigm of alignment parallels early psych…

cs.AI2026

The DeepSpeak-Agentic Dataset

Sarah Barrington, Maty Bohacek, Hany Farid

We present DeepSpeak-Agentic, a dataset of videos comprising over 37 hours of semi-structured conversations between a human and an embodied AI agent. We use this dataset to evaluat…

cs.AI2026

Unsteady Metrics and Benchmarking Cultures of AI Model Builders

Stefan Baack, Christo Buschek, Maty Bohacek

The primary way to establish and compare competencies in foundation and generative AI models has shifted from peer-reviewed literature to press releases and company blog posts, whe…

cs.CY2026

The Impact of AI-Generated Text on the Internet

Jonas Dolezal, Sawood Alam, Mark Graham +1

The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other neg…