Cover Image

LLM-Based Robust Product Classification in Commerce and Compliance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gholamian, Sina, Romani, Gianfranco, Rudnikowicz, Bartosz, Skylaki, Stavroula
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning Problem Solving with Large Language Models
by: Gholamian, Sina, et al.
Published: (2024)

The Right Model for the Job: An Evaluation of Legal Multi-Label Classification Baselines
by: Forster, Martina, et al.
Published: (2024)

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
by: Jayasuriya, Dinithi, et al.
Published: (2025)

On the Robustness of Transformers against Context Hijacking for Linear Classification
by: Li, Tianle, et al.
Published: (2025)

EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce
by: Yu, Minhyeong, et al.
Published: (2026)

Improving Direct Persian-English Speech-to-Speech Translation with Discrete Units and Synthetic Parallel Data
by: Rashidi, Sina, et al.
Published: (2025)

A Lightweight LLM Framework for Disaster Humanitarian Information Classification
by: Jinzhen, Han, et al.
Published: (2026)

Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signals
by: Leite, João A., et al.
Published: (2023)

LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
by: Gao, Jiechao, et al.
Published: (2026)

The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models
by: Berger, Armin, et al.
Published: (2025)

Robustly Improving LLM Fairness in Realistic Settings via Interpretability
by: Karvonen, Adam, et al.
Published: (2025)

Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction
by: Adeseye, Aisvarya, et al.
Published: (2026)

Efficient LLM Moderation with Multi-Layer Latent Prototypes
by: Chrabąszcz, Maciej, et al.
Published: (2025)

Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization
by: Sondej, Filip, et al.
Published: (2025)

Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning
by: Panaganti, Kishan, et al.
Published: (2026)

LLM Based Sentiment Classification From Bangladesh E-Commerce Reviews
by: Tabassum, Sumaiya
Published: (2025)

The Compliance Trap: How Structural Constraints Degrade Frontier AI Metacognition Under Adversarial Pressure
by: Kumar, Rahul
Published: (2026)

PQCache: Product Quantization-based KVCache for Long Context LLM Inference
by: Zhang, Hailin, et al.
Published: (2024)

Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
by: Wang, Dongwei, et al.
Published: (2024)

Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
by: Sondej, Filip, et al.
Published: (2025)

LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
by: Zhang, Kangning, et al.
Published: (2025)

Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge
by: Zhang, Wenbo, et al.
Published: (2026)

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance
by: Imperial, Joseph Marvin, et al.
Published: (2025)

A Simple Attention-Based Mechanism for Bimodal Emotion Classification
by: Elabd, Mazen, et al.
Published: (2024)

Classification of Hope in Textual Data using Transformer-Based Models
by: Ijezue, Chukwuebuka Fortunate, et al.
Published: (2025)

OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning
by: Bao, Zhenghua, et al.
Published: (2026)

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
by: Chen, Zheng, et al.
Published: (2025)

Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
by: Casademunt, Helena, et al.
Published: (2026)

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
by: Xu, Tianyang, et al.
Published: (2025)

The Compliance Gap: Why AI Systems Promise to Follow Process Instructions but Don't
by: Shin, Kwan Soo
Published: (2026)

Not All Synthetic Data Is Yours to Learn From
by: Alemohammad, Sina, et al.
Published: (2026)

AI-Generated Text Detection and Classification Based on BERT Deep Learning Algorithm
by: Wang, Hao, et al.
Published: (2024)

Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents
by: Song, Yifan, et al.
Published: (2024)

LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems
by: Leite, João A., et al.
Published: (2026)

GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
by: Choudhury, Ritabrata Roy, et al.
Published: (2024)

Diagnosing Structural Failures in LLM-Based Evidence Extraction for Meta-Analysis
by: Tan, Zhiyin, et al.
Published: (2026)

Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM Evaluators
by: Roytburg, Dani, et al.
Published: (2025)

Alert-ME: An Explainability-Driven Defense Against Adversarial Examples in Transformer-Based Text Classification
by: Sabir, Bushra, et al.
Published: (2023)

Enhancing Hyperspace Analogue to Language (HAL) Representations via Attention-Based Pooling for Text Classification
by: Sakour, Ali, et al.
Published: (2026)