activity
20232026
most citedGenerative Design through Quality-Diversity Data Synthesis and Language Models

11 citations · 11 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

AutoIndexer: Flexible-Order Decoding by Training Causal Models on Chains of Edits

Shu Ishida, Aliasghar Khani, Tianyu Zhang +3

Autoregressive decoding is less suited to non-causally ordered data, e.g., cross-references or future dependencies, since their outputs cannot be revised post hoc, unlike iterative…

cs.LG2026

FLOORA: A Human-Aligned Domain-Specific Language Model for Architectural Design

Sahand Rezaei-Shoshtari, Patryk Wozniczka, Shu Ishida +14

Foundation models are powerful generators, but many engineering domains require structured representations that general-purpose systems handle poorly. We introduce FLOORA (Floor La…

cs.LG2025

Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration

Taejong Joo, Shu Ishida, Ivan Sosnovik +4

As a model-agnostic approach to long context modeling, multi-agent systems can process inputs longer than a large language model's context window without retraining or architectura…

cs.NE2024★ 11 cited

Generative Design through Quality-Diversity Data Synthesis and Language Models

Adam Gaier, James Stoddart, Lorenzo Villaggi +1

Two fundamental challenges face generative models in engineering applications: the acquisition of high-performing, diverse datasets, and the adherence to precise constraints in gen…

cs.AI2023

PlotMap: Automated Layout Design for Building Game Worlds

Yi Wang, Jieliang Luo, Adam Gaier +2

World-building, the process of developing both the narrative and physical world of a game, plays a vital role in the game's experience. Critically-acclaimed independent and AAA vid…