Copertina

Are LLM-based methods good enough for detecting unfair terms of service?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Frasheri, Mirgita, Bakhtiarnia, Arian, Esterle, Lukas, Iosifidis, Alexandros
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Continual Low-Rank Scaled Dot-product Attention
di: Picón, Ginés Carreto, et al.
Pubblicazione: (2024)

Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
di: Rubak, Johan Andreas Balle, et al.
Pubblicazione: (2025)

When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization
di: Nielsen, Jacob, et al.
Pubblicazione: (2024)

DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams
di: Picón, Ginés Carreto, et al.
Pubblicazione: (2025)

Geometric Deep Learning for Computer-Aided Design: A Survey
di: Heidari, Negar, et al.
Pubblicazione: (2024)

Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset
di: Ray, Abhisek, et al.
Pubblicazione: (2025)

LLM-based feature generation from text for interpretable machine learning
di: Balek, Vojtěch, et al.
Pubblicazione: (2024)

Progressive Mixed-Precision Decoding for Efficient LLM Inference
di: Chen, Hao Mark, et al.
Pubblicazione: (2024)

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild
di: Chumachenko, Kateryna, et al.
Pubblicazione: (2024)

Assessing LLM Text Detection in Educational Contexts: Does Human Contribution Affect Detection?
di: Gehring, Lukas, et al.
Pubblicazione: (2025)

Explaining Text Similarity in Transformer Models
di: Vasileiou, Alexandros, et al.
Pubblicazione: (2024)

On multi-token prediction for efficient LLM inference
di: Mehra, Somesh, et al.
Pubblicazione: (2025)

Predicting potentially abusive clauses in Chilean terms of services with natural language processing
di: Loeffler, Christoffer, et al.
Pubblicazione: (2025)

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
di: Singhi, Nishad, et al.
Pubblicazione: (2025)

AtP*: An efficient and scalable method for localizing LLM behaviour to components
di: Kramár, János, et al.
Pubblicazione: (2024)

Tokenization Multiplicity Leads to Arbitrary Price Variation in LLM-as-a-service
di: Chatzi, Ivi, et al.
Pubblicazione: (2025)

SIEVE: Sample-Efficient Parametric Learning from Natural Language
di: Asawa, Parth, et al.
Pubblicazione: (2026)

Outcome-based Exploration for LLM Reasoning
di: Song, Yuda, et al.
Pubblicazione: (2025)

LogLLaMA: Transformer-based log anomaly detection with LLaMA
di: Yang, Zhuoyi, et al.
Pubblicazione: (2025)

Interpretable LLM-based Table Question Answering
di: Nguyen, Giang, et al.
Pubblicazione: (2024)

Attention based Bidirectional GRU hybrid model for inappropriate content detection in Urdu language
di: Shoukat, Ezzah, et al.
Pubblicazione: (2025)

PRISM: Distributed Inference for Foundation Models at Edge
di: Qazi, Muhammad Azlan, et al.
Pubblicazione: (2025)

DALLMi: Domain Adaption for LLM-based Multi-label Classifier
di: Beţianu, Miruna, et al.
Pubblicazione: (2024)

Reinforcement Learning-based Knowledge Distillation with LLM-as-a-Judge
di: Shen, Yiyang, et al.
Pubblicazione: (2026)

Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
di: Zeng, Tong, et al.
Pubblicazione: (2024)

AtteSTNet -- An attention and subword tokenization based approach for code-switched text hate speech detection
di: Shingi, Geet, et al.
Pubblicazione: (2021)

MedSyn: LLM-based Synthetic Medical Text Generation Framework
di: Kumichev, Gleb, et al.
Pubblicazione: (2024)

WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off
di: Giboulot, Eva, et al.
Pubblicazione: (2024)

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings
di: Fan, Xiran, et al.
Pubblicazione: (2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning
di: Ren, Jie, et al.
Pubblicazione: (2025)

Efficient Uncertainty Estimation for LLM-based Entity Linking in Tabular Data
di: Bono, Carlo, et al.
Pubblicazione: (2025)

From Selection to Generation: A Survey of LLM-based Active Learning
di: Xia, Yu, et al.
Pubblicazione: (2025)

AIDetx: a compression-based method for identification of machine-learning generated text
di: Almeida, Leonardo, et al.
Pubblicazione: (2024)

Manifold Gaussian Variational Bayes on the Precision Matrix
di: Magris, Martin, et al.
Pubblicazione: (2022)

Variational Graph Convolutional Neural Networks
di: Oleksiienko, Illia, et al.
Pubblicazione: (2025)

The benefits of query-based KGQA systems for complex and temporal questions in LLM era
di: Alekseev, Artem, et al.
Pubblicazione: (2025)

Deep Learning-based Method for Expressing Knowledge Boundary of Black-Box LLM
di: Sheng, Haotian, et al.
Pubblicazione: (2026)

Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
di: Ding, Xueying, et al.
Pubblicazione: (2025)

LLM Unlearning with LLM Beliefs
di: Li, Kemou, et al.
Pubblicazione: (2025)

GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters
di: Choudhary, Anand, et al.
Pubblicazione: (2025)