AA
Avishek Anand
5 records found
1
Authored
Recent advances in machine learning have led to the widespread adoption of ML models for decision support systems. However, little is known about how the introduction of such systems affects the behavior of human stakeholders. This pertains both to the people using the system, as
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Contributed
Interpolation-based re-ranking emerged to make dense retrieval possible in low-latency applications such as web engine search. However, to this day there is no clear winner among the different ranking approaches. Moreover, missing document scores in hybrid retrieval have not been
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Verification of numerical claims is critical as they tend to be more believable despite being fake and have previously demonstrated the potential to cause catastrophic impacts on society. While there currently exist several automatic fact verification pipelines, only a handful fo
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Verification of numerical claims is critical as they tend to be more believable despite being fake and have previously demonstrated the potential to cause catastrophic impacts on society. While there currently exist several automatic fact verification pipelines, only a handful fo
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Verification of numerical claims is critical as they tend to be more believable despite being fake and have previously demonstrated the potential to cause catastrophic impacts on society. While there currently exist several automatic fact verification pipelines, only a handful fo
...
A Comparison of Instance Attribution Methods
Comparing Instance Attribution Methods to Baseline k-Nearest Neighbors Method
In this research, a comparison between different Instance Attribution (IA) methods and k-Nearest Neighbors (kNN) via cosine similarity is conducted on a Natural Language Processing (NLP) machine learning model. The format in which the comparison is made is by way of a human surve
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We seek to examine the vulnerability of BERT-based fact-checking. We implement a gradient based, adversarial attack strategy, based on Hotflip swapping individual tokens from the input. We use this on a pre-trained ExPred model for fact-checking. We find that gradient based adve
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