Passive learning of active causal strategies in agents and language
models

Passive learning of active causal strategies in agents and language models

25 May 2023

Andrew Kyle Lampinen

Stephanie C. Y. Chan

Ishita Dasgupta

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

18 / 18 papers shown

Title
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 50 0 0 03 Mar 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents Alex Havrilla David Alvarez-Melis Nicolò Fusi AI4CE 38 0 0 24 Feb 2025
Reasoning about Affordances: Causal and Compositional Reasoning in LLMs Magnus F. Gjerde Vanessa Cheung David Lagnado ReLM LRM 48 0 0 23 Feb 2025
COLD: Causal reasOning in cLosed Daily activities Abhinav Joshi A. Ahmad Ashutosh Modi LRM ReLM 66 1 0 29 Nov 2024
Systems with Switching Causal Relations: A Meta-Causal Perspective Moritz Willig Tim Nelson Tobiasch Florian Peter Busch Jonas Seng D. Dhami Kristian Kersting CML 31 0 0 16 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 18 1 0 09 Oct 2024
Teaching Transformers Causal Reasoning through Axiomatic Training Aniket Vashishtha Abhinav Kumar Abbavaram Gowtham Reddy Vineeth N. Balasubramanian Amit Sharma Vineeth N Balasubramanian Amit Sharma 15 2 0 10 Jul 2024
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 18 0 0 26 May 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 54 11 0 02 May 2024
Discovery of the Hidden World with Large Language Models Chenxi Liu Yongqiang Chen Tongliang Liu Mingming Gong James Cheng Bo Han Kun Zhang CML 49 9 0 06 Feb 2024
Bayesian Low-rank Adaptation for Large Language Models Adam X. Yang Maxime Robeyns Xi Wang Laurence Aitchison AI4CE BDL 9 18 0 24 Aug 2023
Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective Khanh Nguyen LRM 11 3 0 28 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 198 283 0 03 May 2023
Transformers generalize differently from information stored in context vs in weights Stephanie C. Y. Chan Ishita Dasgupta Junkyung Kim D. Kumaran Andrew Kyle Lampinen Felix Hill 95 45 0 11 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Interactive Learning from Activity Description Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 45 34 0 13 Feb 2021