Danila Sinopalnikov

3 papers · 2020–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze

👥 Mega-Team · Squad 📈 Trend Setter

Venues

ICLR (2) AAAI (1)

Top co-authors

Nikola Momchev (3) Nathanael Schärli (2) Tibor Tihon (2) Nathan Scales (2) Dmitry Tsarkov (2) Xiao Wang (1) Johan Ferret (1) Olivier Bachem (1) Leonard Hussenot (1) Robert Dadashi-Tazehozi (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Natural Language Processing (2) Application Areas (2) Deep Learning (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Resources & Methods (1) Understanding (1)

Keywords

compositional generalization (2) knowledge distillation (1) question answering (1) semantic parsing (1) natural language understanding (1) reinforcement learning from human feedback (1) distribution matching (1) transformer neural network (1) best-of-n sampling (1) scalability analysis (1) benchmark construction (1) large language model (1) machine learning scalability (1) compound divergence (1) transformer architecture (1) atom divergence (1)

Papers

BOND: Aligning LLMs with Best-of-N Distillation ICLR 2025 *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task AAAI 2021 Measuring Compositional Generalization: A Comprehensive Method on Realistic Data ICLR 2020