activity
20192026
most citedNeuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"

25 citations · 40 across the 24 of their papers we have counts for

collaborators

28 papers

cs.SD2026

Prompt-Consistency Inference for Zero-Shot Flow-Matching Text-to-Speech Models

Vasily Zadorozhnyy, Can Goksen, Kazuhito Koishida +1

In recent years, flow-matching models have produced significant improvements in zero-shot text-to-speech synthesis. Conditioned on an audio prompt and text, these models learn a ve…

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…

cs.CL2025

AppSelectBench: Application-Level Tool Selection Benchmark

Tianyi Chen, Michael Solodko, Sen Wang +14

Computer Using Agents (CUAs) are increasingly equipped with external tools, enabling them to perform complex and realistic tasks. For CUAs to operate effectively, application selec…

cs.LG2025

Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems

Saeed Amizadeh, Sara Abdali, Yinheng Li +1

Transformers and their attention mechanism have been revolutionary in the field of Machine Learning. While originally proposed for the language data, they quickly found their way t…

cs.AI2025

Instruction Agent: Enhancing Agent with Expert Demonstration

Yinheng Li, Hailey Hultquist, Justin Wagle +1

Graphical user interface (GUI) agents have advanced rapidly but still struggle with complex tasks involving novel UI elements, long-horizon actions, and personalized trajectories.…

cs.CL2025★ 1 cited

WinClick: GUI Grounding with Multimodal Large Language Models

Zheng Hui, Yinheng Li, Dan zhao +3

Graphical User Interface (GUI) tasks are vital for automating workflows such as software testing, user interface navigation. For users, the GUI is the most intuitive platform for i…