Zhang, Dongxu

7 publications

AAAI 2025 DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent Dingbo Yuan, Yipeng Chen, Guodong Liu, Chenchen Li, Chengfu Tang, Dongxu Zhang, Zhenkui Wang, Xudong Wang, Song Liu

NeurIPS 2022 Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings Dongxu Zhang, Michael Boratko, Cameron Musco, Andrew McCallum

NeurIPS 2021 Capacity and Bias of Learned Geometric Embeddings for Directed Graphs Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L Clarkson, Andrew McCallum

NeurIPS 2020 Improving Local Identifiability in Probabilistic Box Embeddings Shib Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum

NeurIPS 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum

ICLRW 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum

ICLR 2019 Smoothing the Geometry of Probabilistic Box Embeddings Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum