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Every Answer Matters: Evaluating Commonsense with Probabilistic Measures

Every Answer Matters: Evaluating Commonsense with Probabilistic Measures

6 June 2024
Qi Cheng
Michael Boratko
Pranay Kumar Yelugam
T. O’Gorman
Nalini Singh
Andrew McCallum
X. Li
    ELM
    LRM
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Papers citing "Every Answer Matters: Evaluating Commonsense with Probabilistic Measures"

4 / 4 papers shown
Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
Liaoyaqi Wang
Zhengping Jiang
Anqi Liu
Benjamin Van Durme
52
0
0
02 May 2025
NoveltyBench: Evaluating Language Models for Humanlike Diversity
NoveltyBench: Evaluating Language Models for Humanlike Diversity
Yiming Zhang
Harshita Diddee
Susan Holm
Hanchen Liu
Xinyue Liu
Vinay Samuel
Barry Wang
Daphne Ippolito
29
1
0
07 Apr 2025
Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity
Zhaoyi Joey Hou
Adriana Kovashka
Xiang Lorraine Li
36
0
0
26 Feb 2025
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
1