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   https://doi.org/10.18653/v1/2022.acl-long.231  

   Gupta, Vivek; Zhang, Shuo; Vempala, Alakananda; He, Yujie; Choji, Temma; Srikumar, Vivek (January 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics)
2. Plant transcription factors — being in the right place with the right company

   https://doi.org/10.1016/j.pbi.2021.102136  

   Strader, Lucia; Weijers, Dolf; Wagner, Doris (February 2022, Current Opinion in Plant Biology)
3. VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives.

   Ying, Z.; Hase, P.; Bansal, M. (November 2022, Proceedings of the Conference on Neural Information Processing Systems.)
4. Self-Conscious Emotions and the Right Fronto-Temporal and Right Temporal Parietal Junction

   https://doi.org/10.3390/brainsci12020138  

   LaVarco, Adriana; Ahmad, Nathira; Archer, Qiana; Pardillo, Matthew; Nunez Castaneda, Ray; Minervini, Anthony; Keenan, Julian Paul (February 2022, Brain Sciences)

   For more than two decades, research focusing on both clinical and non-clinical populations has suggested a key role for specific regions in the regulation of self-conscious emotions. It is speculated that both the expression and the interpretation of self-conscious emotions are critical in humans for action planning and response, communication, learning, parenting, and most social encounters. Empathy, Guilt, Jealousy, Shame, and Pride are all categorized as self-conscious emotions, all of which are crucial components to one’s sense of self. There has been an abundance of evidence pointing to the right Fronto-Temporal involvement in the integration of cognitive processes underlying the expression of these emotions. Numerous regions within the right hemisphere have been identified including the right temporal parietal junction (rTPJ), the orbitofrontal cortex (OFC), and the inferior parietal lobule (IPL). In this review, we aim to investigate patient cases, in addition to clinical and non-clinical studies. We also aim to highlight these specific brain regions pivotal to the right hemispheric dominance observed in the neural correlates of such self-conscious emotions and provide the potential role that self-conscious emotions play in evolution. 

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5. Metric Distortion of Line-up Elections: The Right Person for the Right Job

   https://doi.org/10.1609/aaai.v39i13.33526  

   Jerrett, Christopher; Han, Yue; Anshelevich, Elliot (April 2025, Proceedings of the AAAI Conference on Artificial Intelligence)

   We provide mechanisms and new metric distortion bounds for line-up elections. In such elections, a set of n voters, k candidates, and ell positions are all located in a metric space. The goal is to choose a set of candidates and assign them to different positions, so as to minimize the total cost of the voters. The cost of each voter consists of the distances from itself to the chosen candidates (measuring how much the voter likes the chosen candidates, or how similar it is to them), as well as the distances from the candidates to the positions they are assigned to (measuring the fitness of the candidates for their positions). Our mechanisms, however, do not know the exact distances, and instead produce good outcomes while only using a smaller amount of information, resulting in small distortion.We consider several different types of information: ordinal voter preferences, ordinal position preferences, and knowing the exact locations of candidates and positions, but not those of voters. In each of these cases, we provide constant distortion bounds, thus showing that only a small amount of information is enough to form outcomes close to optimum in line-up elections. 

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