SciTBERT: A family of chronologically consistent language models for scientific and technological language processing

arXiv:2610.12207 · cs.CL, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/KPSS2017/Technological-Innovation-Resource-Allocation-and-Growth-Extended-Data

Terminology

• Embeddings — 23× in this paper · explained in 2 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Contrastive Learning — 4× in this paper · explained in 5 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Transformer Models — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Regularization — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Anisotropy — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cooperative Patent Classification — 1× in this paper
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Multi-modal Inputs — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• PaECTER: Patent-level Representation Learning using Citation-informed Transformers
• Chronologically Consistent Large Language Models
• FastText.zip: Compressing text classification models
• Bag of Tricks for Efficient Text Classification
• Leakage and the Reproducibility Crisis in ML-based Science
• The Semantic Scholar Open Data Platform
• Decoupled Weight Decay Regularization
• OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts
• DatedGPT: Preventing Lookahead Bias in Large Language Models with Time-Aware Pretraining

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