Sep 9, 2026, 12:10 pm - Fotis Jannidis is a professor of computer philology and history of contemporary German literature in the Institute for German Philology at the University of Würzburg, Germany.

Generative Models for Tractable Distributions

Researchers developed a groundbreaking dataset and detection models to identify and correct human artifacts in text-to-image outputs, significantly enhancing the quality of generative AI models.

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Researchers introduce ViTok, a Vision Transformer-based auto-encoder that scales visual tokenization to enhance image and video generation while reducing computational costs.

Large language models struggle with coherence in tasks like navigation and logic puzzles, as new metrics expose gaps in their ability to recover underlying world models.

Researchers introduce ComfyGen, a novel approach to text-to-image generation using prompt-adaptive workflows, significantly improving image quality by tailoring workflows based on specific prompts.

Il Training-Free Guidance (TFG) semplifica la generazione condizionale eliminando il riaddestramento. Utilizzando predictor preaddestrati, come classificatori o funzioni di perdita, guida il processo senza sacrificare qualità. Unifica tecniche esistenti, ottimizza iperparametri ed è applicabile in contesti vari, dalle immagini alle molecole e all'audio. Mitiga bias nei dataset, riduce costi e tempi, e favorisce applicazioni scalabili, flessibili e inclusive.

Grounding ties a generative model's answer to retrieved source documents: how the request flow works, who sells it, what it costs and where it still fails.

Grounding ties a generative model's answer to retrieved source documents: how the request flow works, who sells it, what it costs and where it still fails.