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20232026
most citedNuclear mass predictions using machine learning models

46 citations · 59 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Atomic Visual Entailment: Enhancing Zero-Shot Vision-Language Reasoning through Atomic Fact Decomposition and Learned Selection

Nallathambi Vethiappan, Derya Soydaner, Gijs Wijnholds

Visual entailment (VE) asks whether an image supports, contradicts, or leaves undecided a textual hypothesis. Strong results come from fine-tuning large vision-language models on l…

cs.SD2026

Silent Metronome: Rhythmic Grounding for Live Music Accompaniment

Kevin Bretz, Derya Soydaner, Aske Plaat

Live accompaniment models generate music for an incoming audio stream, committing to each output frame before hearing what comes next. In this strictly causal setting the model mus…

cs.CV2026

Now You See the Hate: Adaptive View Retrieval for Hidden Hateful Illusions

Qianpu Chen, Derya Soydaner

Hateful optical illusions expose a serious gap in current multimodal safety systems. On original-view hateful illusions, previous work shows that six moderation classifiers achieve…

cs.MA2026

In Trust We Survive: Emergent Trust Learning

Qianpu Chen, Giulio Barbero, Mike Preuss +1

We introduce Emergent Trust Learning (ETL), a lightweight, trust-based control algorithm that can be plugged into existing AI agents. It enables these to reach cooperation in compe…

cs.CV2026

When Visual Evidence is Ambiguous: Pareidolia as a Diagnostic Probe for Vision Models

Qianpu Chen, Derya Soydaner, Rob Saunders

When visual evidence is ambiguous, vision models must decide how to interpret face-like patterns. Face pareidolia, the perception of faces in non-face objects, provides a controlle…