Olivier Delalleau
7 papers · 2010–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(15)
🐣
Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(3)
🌱
Topic Pioneer
🏆
Keyword Champion
📈
Trend Setter
🚀
Conference Pioneer
❓
The Questioner
Conferences
NIPS (2)
ACL (1)
AISTATS (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Research topics
Keywords
language model
(2)
preference learning
(2)
reward modeling
(1)
network architecture
(1)
preference optimization
(1)
model architecture
(1)
model editing
(1)
deep learning
(1)
markov chain monte carlo
(1)
model alignment
(1)
approximation error
(1)
representational power
(1)
human feedback
(1)
restricted boltzmann machine
(1)
reward model
(1)
open-ended task
(1)
supervised fine-tuning
(1)
tempered sampling
(1)
persistent contrastive divergence
(1)
alternating gibbs sampling
(1)
Papers
HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
ACL 2025
HelpSteer2-Preference: Complementing Ratings with Preferences
ICLR 2025
Diverging Preferences: When do Annotators Disagree and do Models Know?
ICML 2025
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
NAACL 2024
HelpSteer 2: Open-source dataset for training top-performing reward models
NIPS 2024
Shallow vs. Deep Sum-Product Networks
NIPS 2011
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
AISTATS 2010