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Finbloom: Knowledge Grounding Large Language Model with Real-Time Financial Data

https://doi.org/10.2139/ssrn.5167956
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5/5 checkable references clean · checked 2026-07-24

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The 5 checked references that resolve
resolves10.1002/asi.23062
Good debt or bad debt: Detecting semantic orientations in economic texts
resolves10.1145/3487553.3524637
FinRED: A Dataset for Relation Extraction in Financial Domain
resolves10.1007/978-3-030-73103-8_41
Impact of News on the Commodity Market: Dataset and Results
resolves10.1002/asi.24634
<scp>SEntFiN</scp> 1.0: <scp>Entity‐aware</scp> sentiment analysis for financial news
resolves10.1109/BigData55660.2022.10020720
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets
The 63 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedDomain adaption of named entity recognition to support credit risk assessment
no DOI — not checkedSentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
no DOI — not checkedLanguage models are few-shot learners
no DOI — not checkedref5
no DOI — not checkedSenticnet 2: A semantic and affective resource for opinion mining and sentiment analysis
no DOI — not checkedref7
no DOI — not checkedMulti-lingual ESG issue identification
no DOI — not checkedref9
no DOI — not checkedref10
no DOI — not checkedSemEval-2017 task 5: Fine-grained sentiment analysis on financial microblogs and news
no DOI — not checkedThe power of noise: Redefining retrieval for RAG systems
no DOI — not checkedQlora: Efficient finetuning of quantized llms
no DOI — not checkedref14
no DOI — not checkedref15
no DOI — not checkedref16
no DOI — not checkedref17
no DOI — not checkedref18
no DOI — not checkedref19
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no DOI — not checkedref21
no DOI — not checkedMultiFin: A dataset for multilingual financial nlp
no DOI — not checkedREFinD: Relation extraction financial dataset
no DOI — not checkedref24
no DOI — not checkedref25
no DOI — not checkedRetrievalaugmented generation for knowledge-intensive NLP tasks
no DOI — not checkedref27
no DOI — not checkedref28
no DOI — not checkedref29
no DOI — not checkedRouge: A package for automatic evaluation of summaries
no DOI — not checkedref31
no DOI — not checkedref32
no DOI — not checkedBioGPT: Generative pre-trained transformer for biomedical text generation and mining
no DOI — not checkedref34
no DOI — not checkedref36
no DOI — not checkedref37
no DOI — not checkedBleu: A method for automatic evaluation of machine translation
no DOI — not checkedref39
no DOI — not checkedref40
no DOI — not checkedLanguage models are unsupervised multitask learners
no DOI — not checkedPrompt programming for large language models: Beyond the few-shot paradigm
no DOI — not checkedref43
no DOI — not checkedref44
no DOI — not checkedref45
no DOI — not checkedFinancial numeric extreme labelling: A dataset and benchmarking
no DOI — not checkedref48
no DOI — not checkedFine-grained argument understanding with BERT ensemble techniques: A deep dive into financial sentiment analysis
no DOI — not checkedref53
no DOI — not checkedChain-of-thought prompting elicits reasoning in large language models
no DOI — not checkedHybrid deep sequential modeling for social text-driven stock prediction
no DOI — not checkedref56
no DOI — not checkedref57
no DOI — not checkedref58
no DOI — not checkedStock movement prediction from tweets and historical prices
no DOI — not checkedref60
no DOI — not checkedref61
no DOI — not checkedref62
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no DOI — not checkedref64
no DOI — not checkedref65
no DOI — not checkedref66
no DOI — not checkedNews: While PepsiCo's current performance is strong, some analysts expressed concern about the potential impact of inflation on consumer spending habits in the coming . . .] Enriched query provided to GPT 3.5: You are an expert financial advisor. You will be provided with financial data and a financial query, and you have to answer the query based on the analysis of the data. Financial Data: Net Income
no DOI — not checkedref68
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