3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.AI2026★ 3 cited
"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets
Jin Liu, Xingchen Xu, Xi Nan +2
Large Language Model (LLM)-based generative AI systems are general-purpose tools capable of augmenting or even automating a wide range of job functions, positioning them to reshape…
cs.CV2026
RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMs
Liang Yao, Shengxiang Xu, Fan Liu +7
Earth Observation (EO) systems are essentially designed to support domain experts who often express their requirements through vague natural language rather than precise, machine-f…
cs.LG2025
The Causal Round Trip: Generating Authentic Counterfactuals by Eliminating Information Loss
Rui Wu, Lizheng Wang, Yongjun Li
Judea Pearl's vision of Structural Causal Models (SCMs) as engines for counterfactual reasoning hinges on faithful abduction: the precise inference of latent exogenous noise. For d…