24 citations · 29 across the 5 of their papers we have counts for
5 papers
LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research
Yi Yang, Hanyu Duan, Jiaxin Liu +1
The increasing use of text as data in social science research necessitates the development of valid, consistent, reproducible, and efficient methods for generating text-based conce…
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives
Jiaxin Liu, Yi Yang, Kar Yan Tam
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
Hanyu Duan, Yi Yang, Kar Yan Tam
Large Language Models (LLMs) can make up answers that are not real, and this is known as hallucination. This research aims to see if, how, and to what extent LLMs are aware of hall…
Exploring the Relationship between In-Context Learning and Instruction Tuning
Hanyu Duan, Yixuan Tang, Yi Yang +2
In-Context Learning (ICL) and Instruction Tuning (IT) are two primary paradigms of adopting Large Language Models (LLMs) to downstream applications. However, they are significantly…
InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning
Yi Yang, Yixuan Tang, Kar Yan Tam
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 inve…