Imagen de Portada

Experimenting with Multi-modal Information to Predict Success of Indian IPOs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ghosh, Sohom, Maji, Arnab, Vardhan, N Harsha, Naskar, Sudip Kumar
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language General Economics Economics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
por: Ghosh, Sohom, et al.
Publicado: (2025)

Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses
por: Ye, Teng, et al.
Publicado: (2024)

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input
por: Li, Tianyi, et al.
Publicado: (2025)

Contrastive Bi-Encoder Models for Multi-Label Skill Extraction: Enhancing ESCO Ontology Matching with BERT and Attention Mechanisms
por: Sun, Yongming
Publicado: (2026)

Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text
por: Fabozzi, Francesco A., et al.
Publicado: (2026)

LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agents
por: Gonzalez-Bonorino, Augusto, et al.
Publicado: (2025)

Newswire: A Large-Scale Structured Database of a Century of Historical News
por: Silcock, Emily, et al.
Publicado: (2024)

Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula
por: Sabet, Alireza Javadian, et al.
Publicado: (2024)

Contrastive Entity Coreference and Disambiguation for Historical Texts
por: Arora, Abhishek, et al.
Publicado: (2024)

Achieving Semantic Consistency: Contextualized Word Representations for Political Text Analysis
por: Zhang, Ruiyu, et al.
Publicado: (2024)

News Deja Vu: Connecting Past and Present with Semantic Search
por: Franklin, Brevin, et al.
Publicado: (2024)

STEER: Assessing the Economic Rationality of Large Language Models
por: Raman, Narun, et al.
Publicado: (2024)

Who Gets the Callback? Generative AI and Gender Bias
por: Chaturvedi, Sugat, et al.
Publicado: (2025)

Signal or Noise? Evaluating Large Language Models in Resume Screening Across Contextual Variations and Human Expert Benchmarks
por: Varshney, Aryan, et al.
Publicado: (2025)

Evaluating and Aligning Human Economic Risk Preferences in LLMs
por: Liu, Jiaxin, et al.
Publicado: (2025)

Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures
por: Schimanski, Tobias, et al.
Publicado: (2023)

Visualizing Public Opinion on X: A Real-Time Sentiment Dashboard Using VADER and DistilBERT
por: Reddy, Yanampally Abhiram, et al.
Publicado: (2025)

Identifying economic narratives in large text corpora -- An integrated approach using Large Language Models
por: Schmidt, Tobias, et al.
Publicado: (2025)

How Human is AI? Examining the Impact of Emotional Prompts on Artificial and Human and Responsiveness
por: Bernays, Florence, et al.
Publicado: (2026)

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
por: Lange, Kai-Robin, et al.
Publicado: (2025)

Marriage Discourse on Chinese Social Media: An LLM-assisted Analysis
por: Ye, Frank Tian-Fang, et al.
Publicado: (2025)

Fair Document Valuation in LLM Summaries via Shapley Values
por: Ye, Zikun, et al.
Publicado: (2025)

DeepGreen: Effective LLM-Driven Greenwashing Monitoring System Designed for Empirical Testing -- Evidence from China
por: Xu, Congluo, et al.
Publicado: (2025)

Seeing Through Green: Text-Based Classification and the Firm's Returns from Green Patents
por: Santarlasci, Lapo, et al.
Publicado: (2025)

Can Large Language Models Replace Human Subjects? A Large-Scale Replication of Scenario-Based Experiments in Psychology and Management
por: Cui, Ziyan, et al.
Publicado: (2024)

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
por: Zhu, Jian-Qiao, et al.
Publicado: (2024)

FinAI-BERT: A Transformer-Based Model for Sentence-Level Detection of AI Disclosures in Financial Reports
por: Zafar, Muhammad Bilal
Publicado: (2025)

The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging
por: Hirano, Masanori, et al.
Publicado: (2024)

Media Slant is Contagious
por: Widmer, Philine, et al.
Publicado: (2022)

AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows
por: Fang, Hanming, et al.
Publicado: (2026)

Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
por: Gerling, Christopher, et al.
Publicado: (2024)

Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations
por: Millo, Denisa, et al.
Publicado: (2024)

Interpretable Company Similarity with Sparse Autoencoders
por: Molinari, Marco, et al.
Publicado: (2024)

A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
por: Li, Xiang, et al.
Publicado: (2024)

From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI
por: Kim, Alex, et al.
Publicado: (2023)

AI evaluation may bias perceptions: The importance of context in interpreting academic writing
por: Wu, Shang, et al.
Publicado: (2026)

Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing
por: Lin, Cong William, et al.
Publicado: (2025)

Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs
por: Valencia-Clavijo, Felipe
Publicado: (2025)

Standard Occupation Classifier -- A Natural Language Processing Approach
por: Rony, Sidharth, et al.
Publicado: (2025)

Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru
por: Ghosh, Tanmay, et al.
Publicado: (2024)