activity
20242026
most citedReflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

5 citations · 8 across the 6 of their papers we have counts for

collaborators

9 papers

cs.AI2026

AgriWorld:A World Tools Protocol Framework for Verifiable Agricultural Reasoning with Code-Executing LLM Agents

Zhixing Zhang, Jesen Zhang, Hao Liu +4

Foundation models for agriculture are increasingly trained on massive spatiotemporal data (e.g., multi-spectral remote sensing, soil grids, and field-level management logs) and ach…

cs.AI2026

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

Haiyang Xu, Xi Zhang, Haowei Liu +16

The paper introduces GUI-Owl-1.5, the latest native GUI agent model that features instruct/thinking variants in multiple sizes (2B/4B/8B/32B/235B) and supports a range of platforms…

cs.CV20251 cited

dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model

Yumeng Li, Guang Yang, Hao Liu +2

Document Layout Parsing serves as a critical gateway for Artificial Intelligence (AI) to access and interpret the world's vast stores of structured knowledge. This process,which en…

cs.LG20251 cited

Self-Questioning Language Models

Lili Chen, Mihir Prabhudesai, Katerina Fragkiadaki +2

Can large language models improve without external data -- by generating their own questions and answers? We hypothesize that a pre-trained language model can improve its reasoning…

cs.LG2025

Maximizing Confidence Alone Improves Reasoning

Mihir Prabhudesai, Lili Chen, Alex Ippoliti +3

Reinforcement learning (RL) has enabled machine learning models to achieve significant advances in many fields. Most recently, RL has empowered frontier language models to solve ch…

cs.LG2025

Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect

Hao Liu, Yong Ge

Employee turnover refers to an individual's termination of employment from the current organization. It is one of the most persistent challenges for firms, especially those ones in…