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Found 4 papers, 1 papers with code
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph
Numeracy plays a key role in natural language understanding.
Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States
More specifically, we check whether and how an LLM reacts differently in its hidden states when it answers a question right versus when it hallucinates.
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
Although a burgeoning literature has emerged on stereotypical bias mitigation in PLMs, such as work on debiasing gender and racial stereotyping, how such biases manifest and behave internally within PLMs remains largely unknown.
Exploring the Relationship between In-Context Learning and Instruction Tuning
In this work, we explore the relationship between ICL and IT by examining how the hidden states of LLMs change in these two paradigms.
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