6 papers
Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution
Minkyu Kim, Junhoo Lee, Seungyeon Kim +4
Vision-language-action (VLA) policies generate action sequences that reduce repeated inference, but deciding how much of each sequence to execute is critical to task success. Exist…
ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space
Minkyu Kim, Baekseung Kim, Junhoo Lee +2
Diffusion models achieve high-quality image generation but remain computationally expensive due to iterative denoising across many timesteps. Existing acceleration methods mainly r…
Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse
Junhoo Lee, Baekseung Kim, Seungyeon Kim +1
Traditional backdoor attacks inject artificial trigger patterns into training data, causing models to misclassify triggered inputs while maintaining normal behavior on clean sample…
Two Companion -Series Identities and Their Combinatorics
Haijun Li, Chenwei Wang
In this paper, we evaluate two companion -series recently suggested for investigation by Andrews and El Bachraoui in the concluding remarks of their work. From these evaluations…
ACRO: Actor-Critic Rollout Orchestration
Junhoo Lee, Seungyeon Kim, Baekseung Kim +4
Executing a vision-language-action (VLA) policy involves deciding when to continue an attempt and when to intervene to improve its chances of success. We introduce ACRO, an Actor--…
RobotUse: Allocating Computation, Context, and Decisions
Junhoo Lee, Injun Baek, Seungyeon Kim +4
Robot agents must connect their intended actions to observed outcomes while retaining the context needed to revise their choices over repeated attempts. Existing interfaces often l…