Copertina

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Vamvourellis, Dimitris, Mehta, Dhagash
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Model Adaptation for Financial Sentiment Analysis
di: Inserte, Pau Rodriguez, et al.
Pubblicazione: (2024)

Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
di: Guan, Weixin, et al.
Pubblicazione: (2026)

Pre-trained Large Language Models for Financial Sentiment Analysis
di: Luo, Wei, et al.
Pubblicazione: (2024)

Are Large Language Models Good In-context Learners for Financial Sentiment Analysis?
di: Wei, Xinyu, et al.
Pubblicazione: (2025)

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking
di: Han, Jinyi, et al.
Pubblicazione: (2025)

A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
di: Sarmah, Bhaskarjit, et al.
Pubblicazione: (2024)

Mitigating Overthinking in Large Reasoning Models via Manifold Steering
di: Huang, Yao, et al.
Pubblicazione: (2025)

Mitigating Overthinking through Reasoning Shaping
di: Song, Feifan, et al.
Pubblicazione: (2025)

Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning
di: Wang, Qianyue, et al.
Pubblicazione: (2026)

The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
di: Wei, Zihao, et al.
Pubblicazione: (2025)

Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI
di: Sarin, Samarth, et al.
Pubblicazione: (2025)

Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis
di: Yadav, Anushka, et al.
Pubblicazione: (2025)

A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
di: Zhou, Changzhi, et al.
Pubblicazione: (2024)

Evaluating Large Language Models for Financial Reasoning: A CFA-Based Benchmark Study
di: Yao, Xuan, et al.
Pubblicazione: (2025)

Bayesian Network Fusion of Large Language Models for Sentiment Analysis
di: Amirzadeh, Rasoul, et al.
Pubblicazione: (2025)

Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
di: Hassid, Michael, et al.
Pubblicazione: (2025)

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
di: Su, Jinyan, et al.
Pubblicazione: (2025)

Evaluating Large Language Models for Detecting Antisemitism
di: Patel, Jay, et al.
Pubblicazione: (2025)

Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III
di: Shetty, Pranam, et al.
Pubblicazione: (2025)

Large-Scale Aspect-Based Sentiment Analysis with Reasoning-Infused LLMs
di: Liskowski, Paweł, et al.
Pubblicazione: (2026)

Large Language Models for Oral History Understanding with Text Classification and Sentiment Analysis
di: Cherukuri, Komala Subramanyam, et al.
Pubblicazione: (2025)

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
di: Fan, Chenrui, et al.
Pubblicazione: (2025)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
di: Hao, Shibo, et al.
Pubblicazione: (2024)

Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
di: Yang, Xinqi, et al.
Pubblicazione: (2024)

Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
di: Thogesan, Thivya, et al.
Pubblicazione: (2025)

Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
di: Ding, Hongcheng, et al.
Pubblicazione: (2024)

Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
di: Song, Shezheng
Pubblicazione: (2024)

Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models
di: Ding, Hongcheng, et al.
Pubblicazione: (2024)

Do Large Language Models Possess Sensitive to Sentiment?
di: Liu, Yang, et al.
Pubblicazione: (2024)

RVISA: Reasoning and Verification for Implicit Sentiment Analysis
di: Lai, Wenna, et al.
Pubblicazione: (2024)

Overthinking the Truth: Understanding how Language Models Process False Demonstrations
di: Halawi, Danny, et al.
Pubblicazione: (2023)

Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy
di: Rahman, A M Muntasir, et al.
Pubblicazione: (2025)

Utilizing Large Language Models for Event Deconstruction to Enhance Multimodal Aspect-Based Sentiment Analysis
di: Huang, Xiaoyong, et al.
Pubblicazione: (2024)

Evaluating Consistency and Reasoning Capabilities of Large Language Models
di: Saxena, Yash, et al.
Pubblicazione: (2024)

Large Language Models for Sentiment Analysis to Detect Social Challenges: A Use Case with South African Languages
di: Mabokela, Koena Ronny, et al.
Pubblicazione: (2025)

Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset
di: Zhu, Jie, et al.
Pubblicazione: (2024)

Comparing LLMs for Sentiment Analysis in Financial Market News
di: Teles, Lucas Eduardo Pereira, et al.
Pubblicazione: (2025)

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
di: Liu, Shu, et al.
Pubblicazione: (2024)

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
di: Jedidi, Nour, et al.
Pubblicazione: (2025)

Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to English
di: Kathunia, Aekansh, et al.
Pubblicazione: (2024)