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cs.CL2026
See, Infer, Intervene: Proactive World Modeling for Goal-Oriented Social Intelligence
Honghui Zhang, Chenmeinian Guo, Yichen Yu +7
Multimodal retail agents should not only recognize what a customer is doing, but also decide whether and how to assist before an explicit request is made. We study this setting thr…
cs.CL2026
DynaWeb: Model-Based Reinforcement Learning of Web Agents
Hang Ding, Peidong Liu, Junqiao Wang +7
The development of autonomous web agents, powered by Large Language Models (LLMs) and reinforcement learning (RL), represents a significant step towards general-purpose AI assistan…
cs.CL2024
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations
Lei Yu, Meng Cao, Jackie Chi Kit Cheung +1
State-of-the-art language models (LMs) sometimes generate non-factual hallucinations that misalign with world knowledge. To explore the mechanistic causes of these hallucinations,…