Christopher Earls

4 papers · 2024–2025 · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) ❓ The Questioner

Venues

EMNLP (2) ICLR (2)

Top co-authors

Raphaël Sarfati (4) Toni J.b. Liu (4) Nicolas Boulle (4) Haley Moller (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Core AI (3) Optimization & Theory (3) Deep Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Models (2) Natural Language Processing (1) Learning Types · Deep Learning (1) Resources & Methods (1)

Keywords

large language model (2) in-context learning (2) authorship attribution (1) stochastic process (1) kernel density estimation (1) probability density (1) dynamical system (1) language model (1) latent space (1) physical law (1) physical modeling (1) literary style (1) prompt embedding (1) dimensionality reduction (1) neural scaling law (1) representation learning (1)

Papers

Density estimation with LLMs: a geometric investigation of in-context learning trajectories ICLR 2025 Lines of Thought in Large Language Models ICLR 2025 What’s in a prompt? Language models encode literary style in prompt embeddings EMNLP 2025 LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law EMNLP 2024