Justin Cui

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Web Data Sources

Synthetic Datasets

Semi Structured Documents

Top Venues

Publications

Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh
OR-Bench: An Over-Refusal Benchmark for Large Language Models. CoRR (2024)
Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking. SIGIR (2024)
Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh
Ameliorate Spurious Correlations in Dataset Condensation. CoRR (2024)
Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking. CoRR (2024)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. ICML (2023)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
DC-BENCH: Dataset Condensation Benchmark. NeurIPS (2022)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. CoRR (2022)
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
DC-BENCH: Dataset Condensation Benchmark. CoRR (2022)