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R. Knipper

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

most citedSNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks

4 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2025

Instructional Goal-Aligned Question Generation for Student Evaluation in Virtual Lab Settings: How Closely Do LLMs Actually Align?

R. Alexander Knipper, Indrani Dey, Souvika Sarkar +3

Virtual Labs offer valuable opportunities for hands-on, inquiry-based science learning, yet teachers often struggle to adapt them to fit their instructional goals. Third-party mate…

cs.CL2025

The Bias is in the Details: An Assessment of Cognitive Bias in LLMs

R. Alexander Knipper, Charles S. Knipper, Kaiqi Zhang +3

As Large Language Models (LLMs) are increasingly embedded in real-world decision-making processes, it becomes crucial to examine the extent to which they exhibit cognitive biases.…

cs.CL2024★ 4 cited

SNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks

R. Alexander Knipper, Kaniz Mishty, Mehdi Sadi +1

As spiking neural networks receive more attention, we look toward applications of this computing paradigm in fields other than computer vision and signal processing. One major fiel…

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