The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generation on the Seamless Interaction Dataset
This preprint presents the results of the fourth GENEA Challenge, a large-scale human evaluation of five speech-driven gesture-generation systems trained by participating teams on the Seamless Interaction dataset of dyadic conversations. As in the 2023 GENEA Challenge, we used a disentangled evaluation methodology to assess motion quality and speech alignment without confounding between the two, and performed a dyadic mismatching study to isolate the effect of listening and reacting to the inter
Record details
Published: 11 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Safety & alignment
Retrieved: 12 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
FedCGR: Federated Cross-Domain Generative Recommendation
arXiv · 11 August 2026
SafeCA: Safe Cross-Attention Localization and Regulation for Text-to-Video Jailbreak Defense
arXiv red teaming query · 11 August 2026
Data Attribution of Emergent Misalignment with Persona Features
arXiv red teaming query · 11 August 2026
REDAgentBench: Executable Red Teaming and Faithful Measurement of LLM Agent Systems
arXiv red teaming query · 11 August 2026
MedUP: Awakening Unified Understanding and Perception in Medical Vision-Language Models
arXiv · 11 August 2026
Pair-Centric Graph Rewiring for Over-Squashing via Optimal Transport-Guided Communication Alignment
arXiv cs.LG · 11 August 2026
How to cite this record
ethics.ai (11 August 2026), “The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generation on the Seamless Interaction Dataset,” evidence record 18665, https://ethics.ai/record/18665 (originally published by arXiv cs.HC).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.