Ramé Alexandre
Scholar

Ramé Alexandre

Google Scholar ID: 7znwivwAAAAJ
Google DeepMind
Deep LearningGeneralizationAlignment
Citations & Impact
All-time
Citations
4,016
 
H-index
19
 
i10-index
21
 
Publications
20
 
Co-authors
6
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • PhD thesis awarded the 2024 SSFAM prize for best French PhD in Machine Learning
  • Contributed to Gemma 3 Technical Report (arXiv), introducing a novel post-training recipe that significantly improves math and chat capabilities
  • Proposed Diversity-Rewarded CFG Distillation (ICLR 2025), a fine-tuning method combining RL and weight averaging to enhance distillation
  • Introduced WARP (arXiv), leveraging weight-averaged policies to improve the KL-reward trade-off in RLHF
  • Proposed WARM (ICML 2024), a reward modeling strategy that merges multiple reward models for improved robustness and reduced reward hacking
  • PhD research (2023) analyzed how weight-averaged ensembling improves out-of-distribution generalization and alignment
  • Co-authored ICLR 2024 paper on hallucinations and explainability in large multimodal models