Imagen de Portada

Prompting for Numerical Sequences: A Case Study on Market Comment Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kawarada, Masayuki, Ishigaki, Tatsuya, Takamura, Hiroya
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Computational Engineering, Finance, and Science
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
por: Nishida, Ryo, et al.
Publicado: (2026)

Multimodal Task Interference: A Benchmark and Analysis of History-Target Mismatch in Multimodal LLMs
por: Kawarada, Masayuki, et al.
Publicado: (2026)

Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?
por: Takayanagi, Takehiro, et al.
Publicado: (2024)

Modeling News Interactions and Influence for Financial Market Prediction
por: Wang, Mengyu, et al.
Publicado: (2024)

Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance
por: Brief, Meni, et al.
Publicado: (2024)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
por: Wang, Meiyun, et al.
Publicado: (2024)

FMPAF: How Do Fed Chairs Affect the Financial Market? A Fine-grained Monetary Policy Analysis Framework on Their Language
por: Deng, Yayue, et al.
Publicado: (2024)

AI PB: A Grounded Generative Agent for Personalized Investment Insights
por: Park, Daewoo, et al.
Publicado: (2025)

IdeaBench: Benchmarking Large Language Models for Research Idea Generation
por: Guo, Sikun, et al.
Publicado: (2024)

Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News
por: Pei, Jiaxin, et al.
Publicado: (2025)

Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval
por: Khatuya, Subhendu, et al.
Publicado: (2025)

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
por: Ding, Hongcheng, et al.
Publicado: (2024)

PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
por: Ng, Chun Chet, et al.
Publicado: (2025)

A Hybrid Method for Low-Resource Named Entity Recognition
por: Duc, Do Minh, et al.
Publicado: (2026)

FinBen: A Holistic Financial Benchmark for Large Language Models
por: Xie, Qianqian, et al.
Publicado: (2024)

SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities
por: Yoash, Noga Ben, et al.
Publicado: (2025)

MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics
por: Lu, Yuxing, et al.
Publicado: (2025)

Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models
por: Bhatia, Gagan, et al.
Publicado: (2025)

RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis
por: Rahman, Md. Mostafizer, et al.
Publicado: (2024)

Redefining Evaluation Standards: A Unified Framework for Evaluating the Korean Capabilities of Language Models
por: Lee, Hanwool, et al.
Publicado: (2025)

LAET: A Layer-wise Adaptive Ensemble Tuning Framework for Pretrained Language Models
por: Ahad, Jawad Ibn, et al.
Publicado: (2025)

A Retrieval-Augmented Language Assistant for Unmanned Aircraft Safety Assessment and Regulatory Compliance
por: Immordino, Gabriele, et al.
Publicado: (2026)

Evaluating Large Language Models (LLMs) in Financial NLP: A Comparative Study on Financial Report Analysis
por: Mohsin, Md Talha
Publicado: (2025)

BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs
por: Lu, Guilong, et al.
Publicado: (2025)

KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
por: Dai, Weichen, et al.
Publicado: (2024)

Quokka: An Open-source Large Language Model ChatBot for Material Science
por: Yang, Xianjun, et al.
Publicado: (2024)

On Languaging a Simulation Engine
por: Liu, Han, et al.
Publicado: (2024)

FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus
por: Fu, Yuxin, et al.
Publicado: (2024)

FiSTECH: Financial Style Transfer to Enhance Creativity without Hallucinations in LLMs
por: Roychowdhury, Sohini, et al.
Publicado: (2024)

SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis
por: Zhu, Senbin, et al.
Publicado: (2024)

LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
por: Yu, Botao, et al.
Publicado: (2024)

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction
por: Zhou, Xingzhi, et al.
Publicado: (2024)

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
por: Zhan, Zaifu, et al.
Publicado: (2024)

Enterprise Benchmarks for Large Language Model Evaluation
por: Zhang, Bing, et al.
Publicado: (2024)

When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies
por: Yang, Zhengzhe
Publicado: (2026)

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
por: Liu, Yujie, et al.
Publicado: (2025)

MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback
por: Liu, Wanhao, et al.
Publicado: (2025)

The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence
por: Ye, Yuxuan, et al.
Publicado: (2026)

FLAME: Financial Large-Language Model Assessment and Metrics Evaluation
por: Guo, Jiayu, et al.
Publicado: (2025)

Finance Language Model Evaluation (FLaME)
por: Matlin, Glenn, et al.
Publicado: (2025)