:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yuan, Han, Zhang, Li, Ma, Zheng
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2503.15985
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Empowering Small Language Models with Factual Hallucination-Aware Reasoning for Financial Classification
par: Yuan, Han, et autres
Publié: (2026)

Extract, Match, and Score: An Evaluation Paradigm for Long Question-context-answer Triplets in Financial Analysis
par: Hu, Bo, et autres
Publié: (2025)

Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization
par: Zhao, Yunxiao, et autres
Publié: (2025)

Are self-explanations from Large Language Models faithful?
par: Madsen, Andreas, et autres
Publié: (2024)

Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models
par: Wang, Wanying, et autres
Publié: (2025)

Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents
par: Sushri, Shalini, et autres
Publié: (2024)

DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis
par: Zhang, Qiaohong, et autres
Publié: (2026)

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
par: Zhang, Shenao, et autres
Publié: (2024)

Exploring news intent and its application: A theory-driven approach
par: Wang, Zhengjia, et autres
Publié: (2023)

GSCE: A Prompt Framework with Enhanced Reasoning for Reliable LLM-driven Drone Control
par: Wang, Wenhao, et autres
Publié: (2025)

Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems
par: Lu, Ning, et autres
Publié: (2024)

What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking
par: Sui, Yuan, et autres
Publié: (2025)

Revisiting the Reliability of Language Models in Instruction-Following
par: Dong, Jianshuo, et autres
Publié: (2025)

Large Language Model Adaptation for Financial Sentiment Analysis
par: Inserte, Pau Rodriguez, et autres
Publié: (2024)

Contrastive explanations of BDI agents
par: Winikoff, Michael
Publié: (2026)

Establishing Reliability Metrics for Reward Models in Large Language Models
par: Chen, Yizhou, et autres
Publié: (2025)

Exploring Diffusion Models for Generative Forecasting of Financial Charts
par: Lee, Taegyeong, et autres
Publié: (2025)

Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
par: Bahel, Vedant, et autres
Publié: (2024)

FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
par: Yuan, Ziqiang, et autres
Publié: (2024)

Spike-driven Large Language Model
par: Xu, Han, et autres
Publié: (2026)

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
par: Chen, Yuyan, et autres
Publié: (2024)

Scientific Knowledge-driven Decoding Constraints Improving the Reliability of LLMs
par: Ma, Maotian, et autres
Publié: (2026)

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models
par: Zhou, Xin, et autres
Publié: (2025)

No Reliable Evidence of Self-Reported Sentience in Small Large Language Models
par: Kaiser, Caspar, et autres
Publié: (2026)

Self-Healing Agentic Orchestrators for Reliable Tool-Augmented Large Language Model Systems
par: Babu, Rahul Suresh, et autres
Publié: (2026)

CNN-based explanation ensembling for dataset, representation and explanations evaluation
par: Hryniewska-Guzik, Weronika, et autres
Publié: (2024)

Pre-trained Large Language Models for Financial Sentiment Analysis
par: Luo, Wei, et autres
Publié: (2024)

Large Language Models Explore by Latent Distilling
par: Zeng, Yuanhao, et autres
Publié: (2026)

PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models
par: Liu, Biao, et autres
Publié: (2024)

Exploring Correlations of Self-Supervised Tasks for Graphs
par: Fang, Taoran, et autres
Publié: (2024)

LabelFusion: Fusing Large Language Models with Transformer Encoders for Robust Financial News Classification
par: Schlee, Michael, et autres
Publié: (2025)

LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
par: Liu, Zehua, et autres
Publié: (2025)

Exploring Federated Pruning for Large Language Models
par: Guo, Pengxin, et autres
Publié: (2025)

An Agent Framework for Real-Time Financial Information Searching with Large Language Models
par: Li, Jinzheng, et autres
Publié: (2024)

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
par: Vamvourellis, Dimitris, et autres
Publié: (2025)

Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
par: Yang, Xinqi, et autres
Publié: (2024)

Self-Rewarding Language Models
par: Yuan, Weizhe, et autres
Publié: (2024)

Large Language Model-driven Security Assistant for Internet of Things via Chain-of-Thought
par: Zeng, Mingfei, et autres
Publié: (2025)

The Reliability Paradox: Exploring How Shortcut Learning Undermines Language Model Calibration
par: Bihani, Geetanjali, et autres
Publié: (2024)

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
par: Zhou, Yuhang, et autres
Publié: (2023)