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09/14/2023
Less is More for Long Document Summary Evaluation by LLMs
Large Language Models (LLMs) have shown promising performance in summary...
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08/25/2023
Rethinking Language Models as Symbolic Knowledge Graphs
Symbolic knowledge graphs (KGs) play a pivotal role in knowledge-centric...
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08/22/2023
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Large Language Models (LLMs) have demonstrated remarkable capabilities i...
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06/09/2023
Measuring and Modifying Factual Knowledge in Large Language Models
Large Language Models (LLMs) store an extensive amount of factual knowle...
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10/09/2022
Quantifying Social Biases Using Templates is Unreliable
Recently, there has been an increase in efforts to understand how large ...
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05/04/2022
The Extremal GDoF Gain of Optimal versus Binary Power Control in K User Interference Networks Is Θ(√(K))
Using ideas from Generalized Degrees of Freedom (GDoF) analyses and extr...
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07/01/2021
Combining Feature and Instance Attribution to Detect Artifacts
Training the large deep neural networks that dominate NLP requires large...
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04/09/2021
An Empirical Comparison of Instance Attribution Methods for NLP
Widespread adoption of deep models has motivated a pressing need for app...
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06/24/2019
Generating User-friendly Explanations for Loan Denials using GANs
Financial decisions impact our lives, and thus everyone from the regulat...
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05/02/2019
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
Representing entities and relations in an embedding space is a well-stud...
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09/05/2018
Embedding Multimodal Relational Data for Knowledge Base Completion
Representing entities and relations in an embedding space is a well-stud...
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05/01/2018