:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Daimi, Syed Affan, Iqbal, Asma
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2409.17581
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
by: Gyawali, Nikesh, et al.
Published: (2025)

Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
by: Marin, Lucas G. Uberti-Bona, et al.
Published: (2025)

Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings
by: Jiang, Yidong, et al.
Published: (2026)

An Interpretable and Scalable Framework for Evaluating Large Language Models
by: Qu, Xinhao, et al.
Published: (2026)

Automating Data-Driven Modeling and Analysis for Engineering Applications using Large Language Model Agents
by: Liu, Yang, et al.
Published: (2025)

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
by: Sovrano, Francesco, et al.
Published: (2025)

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
by: Biswas, Umesh, et al.
Published: (2026)

SoK: a Comprehensive Causality Analysis Framework for Large Language Model Security
by: Zhao, Wei, et al.
Published: (2025)

Proposition of Affordance-Driven Environment Recognition Framework Using Symbol Networks in Large Language Models
by: Arii, Kazuma, et al.
Published: (2025)

Generative Artificial Intelligence: A Systematic Review and Applications
by: Sengar, Sandeep Singh, et al.
Published: (2024)

SHERPA: A Model-Driven Framework for Large Language Model Execution
by: Chen, Boqi, et al.
Published: (2025)

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)

Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach
by: Hasan, Syed Mhamudul, et al.
Published: (2024)

Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework
by: Xia, Yuan, et al.
Published: (2025)

EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
by: Zhao, Sha, et al.
Published: (2025)

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models
by: Sun, Haoran, et al.
Published: (2025)

Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts
by: Patel, Het, et al.
Published: (2024)

A Decompilation-Driven Framework for Malware Detection with Large Language Models
by: Chawla, Aniesh, et al.
Published: (2026)

LADFA: A Framework of Using Large Language Models and Retrieval-Augmented Generation for Personal Data Flow Analysis in Privacy Policies
by: Yuan, Haiyue, et al.
Published: (2026)

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
by: Ghandeharioun, Asma, et al.
Published: (2024)

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
by: Karanjai, Rabimba, et al.
Published: (2024)

CryptoTensors: A Light-Weight Large Language Model File Format for Highly-Secure Model Distribution
by: Zhu, Huifeng, et al.
Published: (2025)

DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM
by: Netsch, Christoph, et al.
Published: (2024)

A Systematic Approach for Large Language Models Debugging
by: Shbita, Basel, et al.
Published: (2026)

SynQP: A Framework and Metrics for Evaluating the Quality and Privacy Risk of Synthetic Data
by: Hu, Bing, et al.
Published: (2026)

LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop
by: Amirizaniani, Maryam, et al.
Published: (2024)

Large Language Model Driven Recommendation
by: Korikov, Anton, et al.
Published: (2024)

UniDM: A Unified Framework for Data Manipulation with Large Language Models
by: Qian, Yichen, et al.
Published: (2024)

Sycophancy in Vision-Language Models: A Systematic Analysis and an Inference-Time Mitigation Framework
by: Zhao, Yunpu, et al.
Published: (2024)

A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
by: Bukhari, Syed Ahmad Chan, et al.
Published: (2025)

Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
by: Li, Jinbo, et al.
Published: (2025)

SA-MDKIF: A Scalable and Adaptable Medical Domain Knowledge Injection Framework for Large Language Models
by: Xu, Tianhan, et al.
Published: (2024)

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
by: Wen, Xumeng, et al.
Published: (2025)

Probing the Limits of Stylistic Alignment in Vision-Language Models
by: Farajidizaji, Asma, et al.
Published: (2025)

Large Language Models for Combinatorial Optimization: A Systematic Review
by: Da Ros, Francesca, et al.
Published: (2025)

A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models
by: Morgan, Adam M., et al.
Published: (2025)

Scalable Delphi: Large Language Models for Structured Risk Estimation
by: Lorenz, Tobias, et al.
Published: (2026)

Escaping Collapse: The Strength of Weak Data for Large Language Model Training
by: Amin, Kareem, et al.
Published: (2025)

Scaling Data-Driven Building Energy Modelling using Large Language Models
by: Khadka, Sunil, et al.
Published: (2024)

Data-Driven Portfolio Management for Motion Pictures Industry: A New Data-Driven Optimization Methodology Using a Large Language Model as the Expert
by: Alipour-Vaezi, Mohammad, et al.
Published: (2024)