Though state-of-the-art (SOTA) NLP systems have achieved remarkable
perf...
Recently developed large language models have achieved remarkable succes...
Pre-training on large corpora of text enables the language models to acq...
Despite remarkable progress made in natural language processing, even th...
Recent state-of-the-art open-domain QA models are typically based on a t...
Do all instances need inference through the big models for a correct
pre...
Molecular communication is a promising solution to enable intra-body
com...
Curriculum learning strategies in prior multi-task learning approaches
a...
Given the ubiquitous nature of numbers in text, reasoning with numbers t...
Knowledge of questions' difficulty level helps a teacher in several ways...
In order to equip NLP systems with selective prediction capability, seve...
Molecular communication (MC) can enable the transfer of information betw...
Standard NLP tasks do not incorporate several common real-world scenario...
Molecular communication often involves coexisting links where certain li...
A recent work has shown that transformers are able to "reason" with fact...
In order to make AI systems more reliable and their adoption in safety
c...
Numerical reasoning is often important to accurately understand the worl...
Exact analytical channel models for molecular communication via diffusio...
Millimeter-wave (mmWave) communication is one of the cornerstone innovat...
Data transmission rate in molecular communication systems can be improve...
Motivated by the numerous healthcare applications of molecular communica...
In this paper, an underlay cognitive radio (CR) system is considered wit...
This work considers the problem of flow-induced diffusive molecular
comm...
Motivated by the numerous healthcare applications of molecular communica...
This work proposes an optimal metric for opportunistic scheduling of
sec...
This work analyzes the performance of an underlay cognitive radio based
...