7 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
AgentHabit: Characterizing Distinct Behaviors of Agents on Everyday Tasks
Woojung Song, Hoyeol Yang, Jeonghoon Shim +4
Large language model (LLM) agents assist users with everyday tasks that can be completed in many reasonable ways. Even when their answers are useful, how agents carry out these tas…
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
Yunho Choi, Jongwon Lim, Woojin Ahn +3
Reinforcement learning with verifiable rewards (RLVR) for Large Reasoning Models rests on variance reduction, which requires both a reliable baseline and high prompt diversity with…
KL for a KL: On-Policy Distillation with Control Variate Baseline
Minjae Oh, Sangjun Song, Gyubin Choi +2
On-Policy Distillation (OPD) has emerged as a dominant post-training paradigm for large language models, especially for reasoning domains. However, OPD remains unstable in practice…
Shallow-π: Knowledge Distillation for Flow-based VLAs
Boseong Jeon, Yunho Choi, Taehan Kim
The growing demand for real-time robotic deployment necessitates fast and on-device inference for vision-language-action (VLA) models. Within the VLA literature, efficiency has bee…