1 citations · 1 across the 2 of their papers we have counts for
5 papers
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…
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…
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…
Aligning Constraint Generation with Design Intent in Parametric CAD
Evan Casey, Tianyu Zhang, Shu Ishida +6
We adapt alignment techniques from reasoning LLMs to the task of generating engineering sketch constraints found in computer-aided design (CAD) models. Engineering sketches consist…
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments
Shu Ishida, João F. Henriques
This work compares ways of extending Reinforcement Learning algorithms to Partially Observed Markov Decision Processes (POMDPs) with options. One view of options is as temporally e…