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From the 1 of 62 linked papers with an AI index.

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20242026
most citedAdaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions

6 citations · 6 across the 18 of their papers we have counts for

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cs.AI2026

OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis

Kanzhi Cheng, Zehao Li, Zheng Ma +11

Mobile agents powered by vision-language models have demonstrated impressive capabilities in automating mobile tasks, with recent leading models achieving a marked performance leap…

cs.AI2026

Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models

Ponhvoan Srey, Quang Minh Nguyen, Xiaobao Wu +1

Uncertainty estimation (UE) aims to detect hallucinated outputs of large language models (LLMs) to improve their reliability. However, UE metrics often exhibit unstable performance…

cs.AI2026

OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents

Yichao Feng, Haoran Luo, Zhenghong Lin +4

Multi-agent large language model frameworks are promising for complex multi step reasoning, yet existing systems remain weak for scientific and knowledge intensive domains due to s…

cs.AI2026

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning

Zhiyuan Hu, Yunhai Hu, Juncheng Liu +9

Multi-agent systems have evolved into practical LLM-driven collaborators for many applications, gaining robustness from diversity and cross-checking. However, multi-agent RL (MARL)…

cs.AI2025

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity

Shuai Zhao, Yulin Zhang, Luwei Xiao +7

Despite the remarkable progress of large language models (LLMs) across various domains, their capacity to predict retinopathy of prematurity (ROP) risk remains largely unexplored.…

cs.AI2025

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation

Huimin Xu, Xin Mao, Feng-Lin Li +4

Process Reward Models (PRMs) have demonstrated promising results in mathematical reasoning, but existing process annotation approaches, whether through human annotations or Monte C…