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From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.AI2026

MAGA: Multi-Platform Self-Fusion of GUI Agents via Structured Action Distillation

Hang Yan, Zhangxuan GU, Beitong Zhou +5

Graphical user interface (GUI) agents based on large language models are increasingly deployed across mobile, web, and desktop environments. However, existing agents are typically…

cs.CL2026

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao, Yang Chen +50

The paper introduces Agents-A1, a 35B mixture-of-experts agent model that attains trillion-parameter-level performance by extending the length of reasoning horizons and integrating…

physics.comp-ph2026

Deep Research in Physical Sciences: A Multi-Agent Framework and Comprehensive Benchmark

Yigeng Jiang, Tengchao Yang, Taoyong Cui +25

Deep research agents are Large Language Model (LLM)-based systems designed for autonomous, multi-step scientific reasoning, and they hold immense potential for accelerating researc…

cs.RO2026

DEFLECT: Temporal Counterfactual Preference Learning for Delay-Robust Asynchronous VLAs

Yixiang Zhu, Yonghao Chen, Zijie Yang +2

Vision-Language-Action (VLA) policies increasingly rely on asynchronous inference to hide large-model latency behind ongoing robot motion. While this avoids the stop-and-go behavio…

cs.AI2026

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System

Wanghan Xu, Wenlong Zhang, Fenghua Ling +8

Meta-analysis is a systematic research methodology that synthesizes data from multiple existing studies to derive comprehensive conclusions. This approach not only mitigates limita…

cs.AI2026

FlowSearch: Advancing deep research with dynamic structured knowledge flow

Yusong Hu, Runmin Ma, Yue Fan +11

Deep research is an inherently challenging task that demands both breadth and depth of thinking. It involves navigating diverse knowledge spaces and reasoning over complex, multi-s…