Aligning Generalisation Between Humans and Machines | Paper Citation Record

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This paper cites From attri- bution maps to human-understandable explanations through concept relevance propagation.

Aligning Generalisation Between Humans and Machines From attri- bution maps to human-understandable explanations through concept relevance propagation

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This paper cites Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound.

Aligning Generalisation Between Humans and Machines Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound

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Aligning Generalisation Between Humans and Machines Unresolved cited work

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This paper cites A research agenda for hybrid intelligence: augment- ing human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence.

Aligning Generalisation Between Humans and Machines A research agenda for hybrid intelligence: augment- ing human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence

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This paper cites Measuring Compositionality in Representation Learning.

Aligning Generalisation Between Humans and Machines Measuring Compositionality in Representation Learning

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This paper cites Towards artificial argumentation.

Aligning Generalisation Between Humans and Machines Towards artificial argumentation

Reference 6

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This paper cites Mechanistic models versus machine learning, a fight worth fighting for the biological community? Biol Lett, 14(5), May 2018.

Aligning Generalisation Between Humans and Machines Mechanistic models versus machine learning, a fight worth fighting for the biological community? Biol Lett, 14(5), May 2018

Reference 7

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This paper cites The eu ai act and the wager on trustworthy ai.

Aligning Generalisation Between Humans and Machines The eu ai act and the wager on trustworthy ai

Reference 8

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This paper cites Advancements in generative ai: A com- prehensive review of gans, gpt, autoencoders, diffusion model, and transformers.

Aligning Generalisation Between Humans and Machines Advancements in generative ai: A com- prehensive review of gans, gpt, autoencoders, diffusion model, and transformers

Reference 9

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This paper cites Managing extreme ai risks amid rapid progress.

Aligning Generalisation Between Humans and Machines Managing extreme ai risks amid rapid progress

Reference 10

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This paper cites International AI Safety Report.

Aligning Generalisation Between Humans and Machines International AI Safety Report

Reference 11

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This paper cites Berthet, M.

Aligning Generalisation Between Humans and Machines Berthet, M

Reference 12

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This paper cites Optimal classification trees.

Aligning Generalisation Between Humans and Machines Optimal classification trees

Reference 13

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This paper cites The Shallow and the Deep: A biased introduction to neural net- works and old school machine learning.

Aligning Generalisation Between Humans and Machines The Shallow and the Deep: A biased introduction to neural net- works and old school machine learning

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This paper cites Prototype selection for interpretable classification.

Aligning Generalisation Between Humans and Machines Prototype selection for interpretable classification

Reference 15

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This paper cites On the opportunities and risks of foundation models,.

Aligning Generalisation Between Humans and Machines On the opportunities and risks of foundation models,

Reference 16

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Aligning Generalisation Between Humans and Machines Boult, Steve Cruz, Akshay R

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This paper cites Stability and generalization.

Aligning Generalisation Between Humans and Machines Stability and generalization

Reference 18

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This paper cites The new dream team? a review of human-ai collaboration research from a human teamwork perspective.

Aligning Generalisation Between Humans and Machines The new dream team? a review of human-ai collaboration research from a human teamwork perspective

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This paper cites Language models are few-shot learners.

Aligning Generalisation Between Humans and Machines Language models are few-shot learners

Reference 20

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This paper cites Goodnow, and George A.

Aligning Generalisation Between Humans and Machines Goodnow, and George A

Reference 21

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This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Aligning Generalisation Between Humans and Machines Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 22

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This paper cites AI alignment and human reward.

Aligning Generalisation Between Humans and Machines AI alignment and human reward

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This paper cites Studies in reflecting abstraction.

Aligning Generalisation Between Humans and Machines Studies in reflecting abstraction

Reference 24

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This paper cites Knowledge graph embedding: A survey from the perspective of representation spaces.

Aligning Generalisation Between Humans and Machines Knowledge graph embedding: A survey from the perspective of representation spaces

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Aligning Generalisation Between Humans and Machines Ai alignment with changing and influenceable reward functions

Reference 26

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This paper cites Mitigating forgetting in online continual learning via instance-aware parameter- ization.

Aligning Generalisation Between Humans and Machines Mitigating forgetting in online continual learning via instance-aware parameter- ization

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This paper cites On the Measure of Intelligence.

Aligning Generalisation Between Humans and Machines On the Measure of Intelligence

Reference 28

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This paper cites Group equivariant convolutional networks.

Aligning Generalisation Between Humans and Machines Group equivariant convolutional networks

Reference 29

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This paper cites The emergence of abstract ideas: Evidence from networks and babies.

Aligning Generalisation Between Humans and Machines The emergence of abstract ideas: Evidence from networks and babies

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This paper cites Don’t drift away: Advances and applications of streaming and continual learn- ing.

Aligning Generalisation Between Humans and Machines Don’t drift away: Advances and applications of streaming and continual learn- ing

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This paper cites Nearest neighbor pattern classification.

Aligning Generalisation Between Humans and Machines Nearest neighbor pattern classification

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This paper cites Geometrical and statistical properties of systems of lin- ear inequalities with applications in pattern recognition.

Aligning Generalisation Between Humans and Machines Geometrical and statistical properties of systems of lin- ear inequalities with applications in pattern recognition

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Aligning Generalisation Between Humans and Machines Vasserman, Md

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This paper cites Benchmarks for automated commonsense reasoning: A survey.

Aligning Generalisation Between Humans and Machines Benchmarks for automated commonsense reasoning: A survey

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This paper cites Design patterns for llm-based neuro-symbolic systems.

Aligning Generalisation Between Humans and Machines Design patterns for llm-based neuro-symbolic systems

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This paper cites Probabilistic inductive logic programming.

Aligning Generalisation Between Humans and Machines Probabilistic inductive logic programming

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Aligning Generalisation Between Humans and Machines An introduction to machine learning: a perspective from sta- tistical physics

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Aligning Generalisation Between Humans and Machines Stereotyping and attitudinal effects under time pressure

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Aligning Generalisation Between Humans and Machines Blasi, Gary Lupyan, Morten H

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Aligning Generalisation Between Humans and Machines Documenting large webtext corpora: A case study on the colossal clean crawled corpus

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This paper cites Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time.

Aligning Generalisation Between Humans and Machines Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time

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Aligning Generalisation Between Humans and Machines A checklist to combat cognitive biases in crowdsourcing

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Aligning Generalisation Between Humans and Machines A survey of embodied ai: From simulators to research tasks

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Aligning Generalisation Between Humans and Machines Engel and C

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Aligning Generalisation Between Humans and Machines The structure- mapping engine: Algorithm and examples

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This paper cites Genai against humanity: Nefarious applications of generative artificial intelligence and large language models.Journal of Computational Social Science, pages 1–21, 2024.

Aligning Generalisation Between Humans and Machines Genai against humanity: Nefarious applications of generative artificial intelligence and large language models.Journal of Computational Social Science, pages 1–21, 2024

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This paper cites When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX.

Aligning Generalisation Between Humans and Machines When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX

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Aligning Generalisation Between Humans and Machines Connectionism and cognitive architec- ture: A critical analysis

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Aligning Generalisation Between Humans and Machines The subtlety of sameness: A theory and computer model of analogy-making

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Aligning Generalisation Between Humans and Machines Prototype Augmented Hypernetworks for Continual Learning

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Aligning Generalisation Between Humans and Machines Retrieval-Augmented Generation for Large Language Models: A Survey

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Aligning Generalisation Between Humans and Machines Few-shot learning for medical text: A review of advances, trends, and opportunities

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Aligning Generalisation Between Humans and Machines Structure-mapping: A theoretical framework for analogy

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Aligning Generalisation Between Humans and Machines Computational models of analogy

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Aligning Generalisation Between Humans and Machines Structure mapping in analogy and similarity

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Aligning Generalisation Between Humans and Machines Theories of abstraction

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Aligning Generalisation Between Humans and Machines Language identification in the limit

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Aligning Generalisation Between Humans and Machines A formal theory of commonsense psychology: How people think people think

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Aligning Generalisation Between Humans and Machines Towards an AI co-scientist

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Aligning Generalisation Between Humans and Machines Grohs and G

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Aligning Generalisation Between Humans and Machines Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models

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Aligning Generalisation Between Humans and Machines Inductive programming meets the real world

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Aligning Generalisation Between Humans and Machines Learning with Recurrent Neural Networks

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Aligning Generalisation Between Humans and Machines Unresolved cited work

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Aligning Generalisation Between Humans and Machines Experiments in Induction

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Aligning Generalisation Between Humans and Machines Human-Centric AI with Common Sense

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Aligning Generalisation Between Humans and Machines Semantics and cognition , volume 8

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Aligning Generalisation Between Humans and Machines AI Alignment: A Comprehensive Survey

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Aligning Generalisation Between Humans and Machines Survey of hallucination in natural language generation

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Aligning Generalisation Between Humans and Machines BRAINTEASER: Lateral thinking puzzles for large language models

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Aligning Generalisation Between Humans and Machines Thinking, fast and slow

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Aligning Generalisation Between Humans and Machines (how) do reasoning models reason? Annals of the New York Academy of Sciences , 2025

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Aligning Generalisation Between Humans and Machines Metric learning: A survey

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Aligning Generalisation Between Humans and Machines The boundaries of words and their meanings

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Aligning Generalisation Between Humans and Machines Unmasking clever hans predictors and assessing what machines really learn

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Aligning Generalisation Between Humans and Machines The dimensions of context-space, 1998

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Aligning Generalisation Between Humans and Machines Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

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Aligning Generalisation Between Humans and Machines Task contamination: Language models may not be few-shot anymore

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