Why Do Language Models Hallucinate?
An analysis of why language models hallucinate — hallucinations arise from statistical pressures in training and evaluation procedures that reward guessing over acknowledging …
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5 min read
Adversarial Attacks on Large Language Models (LLMs)
An overview of adversarial attacks on large language models (LLMs) — how manipulated inputs can deceive models into generating harmful or incorrect outputs, covering key attack …
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3 min read
GLiNER: A Generalist Model for Named Entity Recognition using Bidirectional Transformers
A detailed summary of the GLiNER paper, introducing a lightweight, scalable, and highly effective model for open-type named entity recognition using bidirectional transformers with …
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3 min read