PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs
Scientific poster construction compresses a long multimodal paper into a readable, editable canvas. Existing systems hide request-level failures by scoring only completed outputs; direct image generation is not element-editable, while coding-agent workflows are costly. PosterMELD is a template-conditioned multi-agent pipeline: capacity-aware slots guide writing before rendering, and deterministic gates plus vision-language model (VLM) review route failures to bounded repair. Each accepted reques
Record details
Published: 2 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy
Retrieved: 6 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.
Douyin Multimodal Embedding Model Technical Report
HuggingFace Daily Papers · 2 August 2026
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills
HuggingFace Daily Papers · 2 August 2026
Search, Inspect, Fetch: Exploiting Boolean Retrieval for Deep-Research Agents
HuggingFace Daily Papers · 2 August 2026
Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data
HuggingFace Daily Papers · 2 August 2026
LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks
HuggingFace Daily Papers · 2 August 2026
DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents
HuggingFace Daily Papers · 2 August 2026
How to cite this record
ethics.ai (2 August 2026), “PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs,” evidence record 16617, https://ethics.ai/record/16617 (originally published by HuggingFace Daily Papers).
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.