Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?
Paper • 2610.39497 • Published • 59
🏝️ On Vacation
Qi (Cheems) Wang
CheemsWang
AI & ML interests
His research studies the learning paradigms that let large models adapt: meta-learning, multi-task learning and reinforcement learning. The thread through his work is fast adaptation with reliable uncertainty, from neural processes and Bayesian meta-learning during his Ph.D. to task sampling and efficient RL post-training of large reasoning models today.
Recent Activity
authored a paper about 7 hours ago
Fast and Robust: Task Sampling with Posterior and Diversity Synergies
for Adaptive Decision-Makers in Randomized Environments authored a paper about 7 hours ago
Model Predictive Task Sampling for Efficient and Robust Adaptation upvoted a paper about 14 hours ago
Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?Organizations
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papers 6 months ago
Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
Paper • 2510.16882 • Published • 5
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Paper • 2504.19139 • Published • 1
Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex
Paper • 2605.06139 • Published • 74
upvoted a paper 9 months ago