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Found 6 papers, 2 papers with code
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph
Numeracy plays a key role in natural language understanding.
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives
In this paper, we introduce the Financial-STS task, a financial domain-specific NLP task designed to measure the nuanced semantic similarity between pairs of financial narratives.
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.
InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning
We present a new financial domain large language model, InvestLM, tuned on LLaMA-65B (Touvron et al., 2023), using a carefully curated instruction dataset related to financial investment.
