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20182026
most citedData Generation Using Large Language Models for Text Classification: An Empirical Case Study

3 citations · 5 across the 12 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.RO2026

SharedKV-BT: Node-Local Typed Decisions for Behavior-Tree Agents

Naoki Wake, Justin Wagle

Agent tasks require sequences of interdependent decisions. Autoregressive models support more flexible decision interfaces than conventional classifiers but incur the latency of to…

cs.CL2026

LLM-as-Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them

Yinheng Li, Justin Wagle

Jev-style decision models have gained surging traction by making decision-making dramatically faster and more efficient, returning categorical probability distributions over predef…

cs.CV2026

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark

Miaosen Zhang, Xiaohan Zhao, Zhihong Tan +14

Computer-use agents (CUAs) automate on-screen work, as illustrated by GPT-5.4 and Claude. Yet their reliability on complex, low-frequency interactions is still poor, limiting user…

cs.AI2026

ScreenSearch: Uncertainty-Aware OS Exploration

Michael Solodko, Justin Wagle

Desktop GUI agents operate under partial observability: visually similar screens can correspond to different underlying workflow states, so locally plausible actions can lead to sh…

cs.CL2026

MoLoRA: Composable Specialization via Per-Token Adapter Routing

Shrey Shah, Justin Wagle

Multi-adapter serving systems route entire sequences to a single adapter, forcing a choice when requests span multiple domains. This assumption fails in two important settings: (1)…

cs.AI2026

CUA-Skill: Develop Skills for Computer Using Agent

Tianyi Chen, Yinheng Li, Michael Solodko +12

Computer-Using Agents (CUAs) aim to autonomously operate computer systems to complete real-world tasks. However, existing agentic systems remain difficult to scale and lag behind h…