most citedSeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical Diagnosis

Yantao Li, Huanlin Gao, Fang Zhao +12

Speculative decoding accelerates autoregressive generation by allowing a lightweight drafter to propose future tokens while a target model verifies them in parallel. Its lossless g…

cs.LG2026

Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees

Xiaoyang Liu, Zineng Dong, Yifan Bai +3

Statement autoformalization acts as a critical bridge between human mathematics and formal mathematics by translating natural language problems into formal language. While prior wo…

cs.LG2026

VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation

Yifan Bai, Xiaoyang Liu, Zihao Mou +7

As large language models (LLMs) are increasingly deployed for software engineering, constructing high-quality benchmarks is crucial for evaluating not just the functional correctne…

cs.AI2026

MediaClaw: Multimodal Intelligent-Agent Platform Technical Report

Shaoan Zhao, Huanlin Gao, Qiang Hui +9

MediaClaw is a multimodal agent platform built on the OpenClaw ecosystem. Its core design follows a three-layer architecture of unified abstraction, pluginized extension, and workf…

cs.CV2026

PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment

Yantao Li, Qiang Hui, Chenyang Yan +8

Reinforcement learning has recently improved the reasoning ability of Large Language Models and Multimodal LLMs, yet prevailing reward designs emphasise final-answer correctness an…

cs.LG2024★ 1 cited

Vision-Language Models Can Self-Improve Reasoning via Reflection

Kanzhi Cheng, Yantao Li, Fangzhi Xu +3

Chain-of-thought (CoT) has proven to improve the reasoning capability of large language models (LLMs). However, due to the complexity of multimodal scenarios and the difficulty in…

cs.HC2024★ 1 cited

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents

Kanzhi Cheng, Qiushi Sun, Yougang Chu +4

Graphical User Interface (GUI) agents are designed to automate complex tasks on digital devices, such as smartphones and desktops. Most existing GUI agents interact with the enviro…