most citedNukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains

2 citations · 2 across the 2 of their papers we have counts for

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cs.CL2026

Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring

Sinan G. Aksoy, Alexandra A. Sabrio, Erik VonKaenel +1

We propose a scalable, multifactorial experimental framework that systematically probes LLM sensitivity to subtle semantic changes in pairwise document comparison. We analogize thi…

cs.CL2021★ 2 cited

NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains

Lee Burke, Karl Pazdernik, Daniel Fortin +3

Natural language processing (NLP) tasks (text classification, named entity recognition, etc.) have seen revolutionary improvements over the last few years. This is due to language…