Search papers, labs, and topics across Lattice.
Affiliation:
2
0
5
Heterogeneous LLMs can fix each other's dead-end zero-reward rollouts in RLVR through off-policy trajectory swapping, boosting math reasoning by up to 4.5 points without extra compute or a stronger teacher model.
Forget hand-labeled bias attributes: BiasEdit automatically detects and edits biases in image datasets, paving the way for fairer visual classifiers without extra training.
