24 citations · 39 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 15 cited
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Yixuan Tang, Yi Yang
Retrieval-augmented generation (RAG) augments large language models (LLM) by retrieving relevant knowledge, showing promising potential in mitigating LLM hallucinations and enhanci…
cs.CL2023
FinEntity: Entity-level Sentiment Classification for Financial Texts
Yixuan Tang, Yi Yang, Allen H Huang +2
In the financial domain, conducting entity-level sentiment analysis is crucial for accurately assessing the sentiment directed toward a specific financial entity. To our knowledge,…
q-fin.GN2023★ 24 cited
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…