Papers Causal Judgment
“Causal Judgment” 태그가 달린 논문 8편 · 필터 해제
AC-Reason: Towards Theory-Guided Actual Causality Reasoning with Large Language Models
Actual causality (AC), a fundamental aspect of causal reasoning (CR), is responsible for attribution and responsibility assignment in real-world scenarios. However, existing LLM-based methods lack grounding in formal AC …
Causal JudgmentCLEVRER-Humans: Describing Physical and Causal Events the Human Way
Building machines that can reason about physical events and their causal relationships is crucial for flexible interaction with the physical world. However, most existing physical and causal reasoning benchmarks are excl…
Causal JudgmentData AugmentationDiversityQuestion AnsweringUPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities
Large Language Models (LLMs) have demonstrated impressive inferential capabilities, with numerous research endeavors devoted to enhancing this capacity through prompting. Despite these efforts, a unified epistemological …
Causal JudgmentGSM8KLanguage ModelingLanguage Modelling+2BloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language Models (LLMs) have been shown…
Causal JudgmentCommon Sense ReasoningDate UnderstandingDisambiguation QA+25Training Compute-Optimal Large Language Models
We investigate the optimal model size and number of tokens for training a transformer language model under a given compute budget. We find that current large language models are significantly undertrained, a consequence …
AnachronismsAnalogical SimilarityAnalytic EntailmentCausal Judgment+69Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…
Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation
In this paper we consider the problem of combining multiple probabilistic causal models, provided by different experts, under the requirement that the aggregated model satisfy the criterion of counterfactual fairness. We…
BIG-bench Machine LearningCausal JudgmentcounterfactualFairnessThe Causal Frame Problem: An Algorithmic Perspective
The Frame Problem (FP) is a puzzle in philosophy of mind and epistemology, articulated by the Stanford Encyclopedia of Philosophy as follows: "How do we account for our apparent ability to make decisions on the basis onl…
Causal JudgmentPhilosophy