3 papers
cs.CL2026
Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs
Renfei Zhang, Manasa Kaniselvan, Rylan Schaeffer abd Niloofar Mireshghallah
Reinforcement learning (RL) is often credited with improving language model reasoning at the expense of knowledge. We challenge this narrative by showing that reasoning models cons…
cs.LG2026
Why Pool When You Can Flow? Active Learning with GFlowNets
Renfei Zhang, Mohit Pandey, Artem Cherkasov +1
The scalability of pool-based active learning is limited by the computational cost of evaluating large unlabeled datasets, a challenge that is particularly acute in virtual screeni…
cs.AI2026
SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks?
Kevin Han, Renfei Zhang, Kathy Wei +3
LLM agents have incredible potential for scientific discovery applications. However, the performance of LLM agents on real-world, small molecule drug design (SMDD) tasks across div…