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ParsiNLU: A Suite of Language Understanding Challenges for Persian
TLDR
This work introduces ParsiNLU, the first benchmark in Persian language that includes a range of language understanding tasks—reading comprehension, textual entailment, and so on, and presents the first results on state-of-the-art monolingual and multilingual pre-trained language models on this benchmark and compares them with human performance.
Multisensory Perception of Contradictory Information in an Environment of Varying Reliability: Evidence for Conscious Perception and Optimal Causal Inference
TLDR
Simulations of various multisensory perception strategies proposed that optimal causal inference in a varying reliability environment not only depends on the amount of multimodal discrepancy, but also on the relative reliability of stimuli across the reliability conditions.
Evolving Dyadic Strategies for a Cooperative Physical Task
TLDR
A genetic algorithm is used to evolve simulated agents to explore a space of feasible role-switching policies, and it is found that the best performing dyads exhibit high temporal coordination (anti-synchrony), correlated to symmetry between the parameters of the cooperative agents.
Iranian Emotional Face Database: Acquisition and Validation of a Stimulus Set of Basic Facial Expressions
TLDR
The first survey-validated database of Iranian faces is presented, consisting of 248 images from 40 Iranian individuals portraying six emotional expressions --anger, sadness, fear, disgust, happiness, and surprise – as well as the neutral state.
Iranian emotional face database: Acquisition and validation of a stimulus set of basic facial expressions.
TLDR
The first survey-validated database of Iranian faces is presented, consisting of 248 images from 40 Iranian individuals portraying six emotional expressions-anger, sadness, fear, disgust, happiness, and surprise-as well as the neutral state.