Akshay K. Jagadish
Doctoral Researcher, Helmholtz Munich
February 2025 “Chat-GPT on the Couch”: Assessing and Alleviating State Anxiety in Large Language Models has been accepted by npj Digital Medicine!
February 2025 "Towards Automation of Cognitive Modeling using Large Language Models" accepted to the 2025 Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM).
February 2025 Preprint out on "Towards Automation of Cognitive Modeling using Large Language Models"
January 2025 "Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models" has been accepted at ICLR!
October 2024 Preprint out on "Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models" and "Centaur: a foundation model of human cognition"
September 2024 Commentaries and responses for our BBS paper are now available
July 2024 I presented my work on "Zero-shot Compositional Reinforcement Learning" in the Compositionality in minds, brains and machines workshop at CogSci 2024 (Rotterdam)
July 2024 We are organizing a workshop on In-context learning in natural and artificial intelligence at CogSci 2024 (Rotterdam)
July 2024 I will be at ICML in Vienna to present two of our works: "Ecologically rational meta-learned inference explains human category learning" and "In-context learning agents are asymmetric belief updaters"
June 2024 I presented my work on "Ecologically Rational Meta-learned Inference" at the Indian Institue of Science, Bangalore