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Akshay Kumar Jagadish

3 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

Venues

ICML (2) ICLR (1)

Top co-authors

Eric Schulz (3) Marcel Binz (3) Can Demircan (1) Johannes A. Schubert (1) Tankred Saanum (1) Mirko Thalmann (1) Julian Coda-Forno (1)

Research topics

Artificial Intelligence (3) Core AI (3) Machine Learning (2) Natural Language Processing (1) Reinforcement Learning (1) Bayesian & Probabilistic (1) Core Methods (1) Learning Paradigms (1) Learning Types (1) Methods (1) Resources & Methods (1)

Keywords

in-context learning (2) reinforcement learning (1) temporal difference learning (1) category learning (1) belief updating (1) sparse autoencoder (1) residual stream (1) cognitive psychology (1) large language model (1) human-like behavior (1) asymmetry (1) ecological priors (1) ermi (1) agency (1) meta learning (1) counterfactual feedback (1)

Papers

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models ICLR 2025 Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks ICML 2024 In-Context Learning Agents Are Asymmetric Belief Updaters ICML 2024