Hierarchical Long-term Video Prediction without Supervision. - Nevan Wichers; Ruben Villegas; Dumitru Erhan; Honglak Lee (ICML, 2018)

Resolving Referring Expressions in Images with Labeled Elements. - Nevan Wichers; Dilek Hakkani-Tür; Jindong Chen (SLT, 2018)

Resolving Spurious Correlations in Causal Models of Environments via Interventions. - Sergei Volodin; Nevan Wichers; Jeremy Nixon (CoRR, 2020)

RL agents Implicitly Learning Human Preferences. - Nevan Wichers (CoRR, 2020)

ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. - Zecheng He; Srinivas Sunkara; Xiaoxue Zang; Ying Xu; Lijuan Liu; Nevan Wichers; Gabriel Schubiner; Ruby B. Lee; Jindong Chen (AAAI, 2021)

SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition. - Dylan Slack; Yinlam Chow; Bo Dai 001; Nevan Wichers (CoRR, 2022)

SiRA: Sparse Mixture of Low Rank Adaptation. - Yun Zhu; Nevan Wichers; Chu-Cheng Lin; Xinyi Wang 001; Tianlong Chen 001; Lei Shu 004; Han Lu; Canoee Liu; Liangchen Luo; Jindong Chen; Lei Meng 008 (CoRR, 2023)

Fusion-Eval: Integrating Evaluators with LLMs. - Lei Shu 004; Nevan Wichers; Liangchen Luo; Yun Zhu; Yinxiao Liu; Jindong Chen; Lei Meng 008 (CoRR, 2023)

Gradient-Based Language Model Red Teaming. - Nevan Wichers; Carson Denison; Ahmad Beirami (EACL (1), 2024)

Fusion-Eval: Integrating Assistant Evaluators with LLMs. - Lei Shu 004; Nevan Wichers; Liangchen Luo; Yun Zhu; Yinxiao Liu; Jindong Chen; Lei Meng 008 (EMNLP (Industry Track), 2024)

Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic. - Meng Cao; Lei Shu 004; Lei Yu; Yun Zhu; Nevan Wichers; Yinxiao Liu; Lei Meng 008 (EMNLP, 2024)

DRLC: Reinforcement Learning with Dense Rewards from LLM Critic. - Meng Cao; Lei Shu 004; Lei Yu; Yun Zhu; Nevan Wichers; Yinxiao Liu; Lei Meng 008 (CoRR, 2024)

Visualizing Neural Network Imagination. - Nevan Wichers; Victor Tao; Riccardo Volpato; Fazl Barez (CoRR, 2024)