Graham Todd

5 papers · 2020–2025 · 4 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 (14) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze

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Venues

EMNLP (2) ACL (1) ICML (1) NeurIPS (1)

Top co-authors

Ziang Xiao (2) Marc-Alexandre Côté (2) Peter Jansen (2) Ruoyao Wang (2) Xingdi Yuan (2) Alexander G. Padula (1) Amanda Royka (1) Ryan M.C. Law (1) Catalin Voss (1) Sunayana Rane (1)

Research topics

Artificial Intelligence (5) Core AI (5) Deep Learning (1) Machine Learning (1) Natural Language Processing (1) Core Methods (1) Generation (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

language model (3) anomaly detection (1) decision making (1) in-context learning (1) code generation (1) program synthesis (1) unsupervised anomaly detection (1) world simulation (1) legal text (1) perplexity score (1) procedural content generation (1) state prediction (1) large language model (1) text-based environment (1) text game (1) evolutionary computation (1) world modeling (1) contrastive perplexity (1) unsupervised technique (1) transitive inference (1)

Papers

Position: Principles of Animal Cognition to Improve LLM Evaluations ICML 2025 Can Language Models Serve as Text-Based World Simulators? ACL 2024 GAVEL: Generating Games via Evolution and Language Models NeurIPS 2024 ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games EMNLP 2023 Unsupervised Anomaly Detection in Parole Hearings using Language Models EMNLP 2020