1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents
Kaijie Zhu, Yuzhou Nie, Yijiang Li +10
Executing complex terminal tasks remains a significant challenge for open-weight LLMs, constrained by two fundamental limitations. First, high-fidelity, executable training environ…
cs.LG2020★ 1 cited
Counterfactual Off-Policy Training for Neural Response Generation
Qingfu Zhu, Weinan Zhang, Ting Liu +1
Open-domain dialogue generation suffers from the data insufficiency problem due to the vast size of potential responses. In this paper, we propose to explore potential responses by…