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Academic Achievements
Ren et al., ICLR 2020: Extended iterated learning to an emergent communication setting (two-agent cooperative RL).
Ren et al., NeurIPS 2023: Generalized iterated learning to vision, language, and molecular graphs; identified structural bottlenecks as key sources of implicit bias.
Ren et al., NeurIPS 2024: Showed Bayesian-iterated learning partially explains LLM evolution in pervasive self-play and proposed mitigation strategies for bias amplification.
Ren et al., ICLR 2022: Used learning dynamics to identify better supervisory signals.
Ren et al., ICLR 2023: Designed fine-tuning heads based on learning dynamics insights.
Ren et al., ICLR 2025: Applied learning dynamics to fine-tuning large language models.
Ren et al., CompLearn@NeurIPS 2024: Demonstrated the pervasiveness of self-preference amplification and simplicity bias in gradient-based learning systems.