Pratik Sachdeva
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View article: Normative Evaluation of Large Language Models with Everyday Moral Dilemmas
Normative Evaluation of Large Language Models with Everyday Moral Dilemmas Open
The rapid adoption of large language models (LLMs) has spurred extensive research into their encoded moral norms and decision-making processes. While prior work often evaluates LLMs using survey-style prompts tied to ideological, moral, or…
View article: Normative Evaluation of Large Language Models with Everyday Moral Dilemmas
Normative Evaluation of Large Language Models with Everyday Moral Dilemmas Open
The rapid adoption of large language models (LLMs) has spurred extensive research into their encoded moral norms and decision-making processes. Much of this research relies on prompting LLMs with survey-style questions to assess how well m…
View article: The geometry of correlated variability leads to highly suboptimal discriminative sensory coding
The geometry of correlated variability leads to highly suboptimal discriminative sensory coding Open
The brain represents the world through the activity of neural populations that exhibit correlated variability. We assessed optimality of correlated variability for discriminative sensory coding in diverse datasets by developing two novel n…
View article: Resolving Non-identifiability Mitigates Bias in Models of Neural Tuning and Functional Coupling
Resolving Non-identifiability Mitigates Bias in Models of Neural Tuning and Functional Coupling Open
In the brain, all neurons are driven by the activity of other neurons, some of which maybe simultaneously recorded, but most are not. As such, models of neuronal activity need to account for simultaneously recorded neurons and the influenc…
View article: Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus
Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus Open
Content Warning: This paper contains content considered profane, hateful, and offensive.
View article: Comparing Methods for Estimating Demographics in Racially Polarized Voting Analyses
Comparing Methods for Estimating Demographics in Racially Polarized Voting Analyses Open
We consider the cascading effects of researcher decisions throughout the process of quantifying racially polarized voting (RPV). We contrast two methods of estimating precinct racial composition, Bayesian Improved Surname Geocoding (BISG) …
View article: Not optimal, just noisy: the geometry of correlated variability leads to highly suboptimal sensory coding
Not optimal, just noisy: the geometry of correlated variability leads to highly suboptimal sensory coding Open
The brain represents the world through the activity of neural populations. Correlated variability across simultaneously recorded neurons (noise correlations) has been observed across cortical areas and experimental paradigms. Many studies …
View article: Targeted Identity Group Prediction in Hate Speech Corpora
Targeted Identity Group Prediction in Hate Speech Corpora Open
The past decade has seen an abundance of work seeking to detect, characterize, and measure online hate speech. A related, but less studied problem, is the detection of identity groups targeted by that hate speech. Predictive accuracy on th…
View article: Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers
Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers Open
Residents of developing countries are disproportionately susceptible to displacement as a result of humanitarian crises. During such crises, language barriers impede aid workers in providing services to those displaced. To build resilience…
View article: Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise Open
Simultaneous recordings from the cortex have revealed that neural activity is highly variable and that some variability is shared across neurons in a population. Further experimental work has demonstrated that the shared component of a neu…
View article: Accurate inference in parametric models reshapes neuroscientific interpretation and improves data-driven discovery
Accurate inference in parametric models reshapes neuroscientific interpretation and improves data-driven discovery Open
A central goal of systems neuroscience is to understand the relationships amongst constituent units in neural populations and their modulation by external factors using high-dimensional and stochastic neural recordings. Statistical models,…
View article: Heterogeneous synaptic weighting improves neural coding in the presence of common noise
Heterogeneous synaptic weighting improves neural coding in the presence of common noise Open
Simultaneous recordings from the cortex have revealed that neural activity is highly variable, and that some variability is shared across neurons in a population. Further experimental work has demonstrated that the shared component of a ne…
View article: On the Stability of Strange Dwarf Hybrid Stars
On the Stability of Strange Dwarf Hybrid Stars Open
We investigate the stability of “strange dwarfs”: white-dwarf-sized stars with a density discontinuity between a small dense core of quark matter and a thick low-density mantle of degenerate electrons. Previous work on strange dwarfs sugge…