10 citations · 19 across the 5 of their papers we have counts for
6 papers
Follow the Entities: A Corpus Map for Agentic Search
Soyeong Jeong, Sujay Kumar Jauhar, Sung Ju Hwang +1
Answering questions and completing tasks over large document collections often requires connecting evidence spread across multiple documents, such as a project's approval recorded…
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen, Stephanie C Y Chan, Ishita Dasgupta +2
What can be learned about causality and experimentation from passive data? This question is salient given recent successes of passively-trained language models in interactive domai…
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers
Andrew J. Nam, Mustafa Abdool, Trevor Maxfield +1
Out-of-distribution generalization (OODG) is a longstanding challenge for neural networks. This challenge is quite apparent in tasks with well-defined variables and rules, where ex…
Learning to Reason With Relational Abstractions
Andrew J. Nam, Mengye Ren, Chelsea Finn +1
Large language models have recently shown promising progress in mathematical reasoning when fine-tuned with human-generated sequences walking through a sequence of solution steps.…
Systematic human learning and generalization from a brief tutorial with explanatory feedback
Andrew J. Nam, James L. McClelland
Neural networks have long been used to model human intelligence, capturing elements of behavior and cognition, and their neural basis. Recent advancements in deep learning have ena…
A Map of Knowledge
Zachary A. Pardos, Andrew Joo Hun Nam
Knowledge representation has gained in relevance as data from the ubiquitous digitization of behaviors amass and academia and industry seek methods to understand and reason about t…