Passive learning of active causal strategies in agents and language
models

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Passive learning of active causal strategies in agents and language models

Neural Information Processing Systems (NeurIPS), 2023

25 May 2023

Andrew Kyle Lampinen

Stephanie C. Y. Chan

Ishita Dasgupta

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Papers citing "Passive learning of active causal strategies in agents and language models"

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Title
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences Andrew Kyle Lampinen Martin Engelcke Yuxuan Li Arslan Chaudhry James L. McClelland CLL BDL 331 3 0 19 Sep 2025
From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Users Sadia Sultana Chowa Riasad Alvi Subhey Sadi Rahman M. R M. R M. Islam Mukhtar Hussain Sami Azam LLMAG LM&Ro ELM 195 5 0 24 Aug 2025
Normative Conflicts and Shallow AI AlignmentPhilosophical Studies (Philos. Stud.), 2025 Raphaël Millière 195 2 0 05 Jun 2025
Fodor and Pylyshyn's Legacy - Still No Human-like Systematic Compositionality in Neural Networks Tim Woydt Moritz Willig Antonia Wüst Lukas Helff Wolfgang Stammer Constantin Rothkopf Kristian Kersting 154 2 0 02 Jun 2025
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Jiayi Geng Howard Chen Dilip Arumugam Thomas L. Griffiths 262 3 0 23 May 2025
Can Large Language Models Help Experimental Design for Causal Discovery? Junyi Li Yongqiang Chen Chenxi Liu Qianyi Cai Tongliang Liu Bo Han Kun Zhang Hui Xiong CML 278 7 0 03 Mar 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents Alex Havrilla David Alvarez-Melis Nicolò Fusi AI4CE 238 2 0 24 Feb 2025
Reasoning about Affordances: Causal and Compositional Reasoning in LLMs Magnus F. Gjerde Vanessa Cheung David Lagnado ReLM LRM 219 0 0 23 Feb 2025
COLD: Causal reasOning in cLosed Daily activitiesNeural Information Processing Systems (NeurIPS), 2024 Abhinav Joshi A. Ahmad Ashutosh Modi LRM ReLM 221 7 0 29 Nov 2024
Systems with Switching Causal Relations: A Meta-Causal PerspectiveInternational Conference on Learning Representations (ICLR), 2024 Moritz Willig Tim Nelson Tobiasch Florian Peter Busch Jonas Seng Devendra Singh Dhami Kristian Kersting CML 318 1 0 16 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 364 2 0 09 Oct 2024
Teaching Transformers Causal Reasoning through Axiomatic Training Aniket Vashishtha Abhinav Kumar Atharva Pandey Abbavaram Gowtham Reddy Amit Sharma Vineeth N. Balasubramanian Amit Sharma 272 8 0 10 Jul 2024
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 175 3 0 26 May 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 289 26 0 02 May 2024
Discovering and Reasoning of Causality in the Hidden World with Large Language Models Chenxi Liu Yongqiang Chen Tongliang Liu Biwei Huang James Cheng Bo Han Kun Zhang CML 256 12 0 06 Feb 2024
Bayesian Low-rank Adaptation for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Adam X. Yang Maxime Robeyns Xi Wang Laurence Aitchison AI4CE BDL 587 80 0 24 Aug 2023
Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective Khanh Nguyen LRM 385 9 0 28 May 2023