:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Saggau, Daniel, Rezaei, Mina, Bischl, Bernd, Chalkidis, Ilias
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2305.16031
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024
by: Chalkidis, Ilias
Published: (2024)

Decoding Alignment: A Critical Survey of LLM Development Initiatives through Value-setting and Data-centric Lens
by: Chalkidis, Ilias
Published: (2025)

Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMs
by: Chalkidis, Ilias, et al.
Published: (2024)

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns
by: Chalkidis, Ilias, et al.
Published: (2025)

Mitigating Catastrophic Forgetting in Continual Learning through Model Growth
by: Süalp, Ege, et al.
Published: (2025)

MultiLegalPile: A 689GB Multilingual Legal Corpus
by: Niklaus, Joel, et al.
Published: (2023)

When Do Language Models Endorse Limitations on Human Rights Principles?
by: Samway, Keenan, et al.
Published: (2026)

Brainrot: Deskilling and Addiction are Overlooked AI Risks
by: Chalkidis, Ilias, et al.
Published: (2026)

Structured Credal Learning
by: Venkatesh, Varun, et al.
Published: (2026)

Calibrating LLMs with Information-Theoretic Evidential Deep Learning
by: Li, Yawei, et al.
Published: (2025)

From Citations to Criticality: Predicting Legal Decision Influence in the Multilingual Swiss Jurisprudence
by: Stern, Ronja, et al.
Published: (2024)

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
by: Niklaus, Joel, et al.
Published: (2023)

Revisiting Active Learning under (Human) Label Variation
by: Gruber, Cornelia, et al.
Published: (2025)

Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
by: Dorigatti, Emilio, et al.
Published: (2022)

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
by: Asl, Javad Rafiei, et al.
Published: (2024)

Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
by: Liu, Junlong, et al.
Published: (2024)

One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support
by: Stern, Ronja, et al.
Published: (2023)

reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning
by: Zhao, Fufangchen, et al.
Published: (2024)

Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
by: Wang, Cunda, et al.
Published: (2024)

Skim-Aware Contrastive Learning for Efficient Document Representation
by: Abro, Waheed Ahmed, et al.
Published: (2025)

BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs
by: Aarab, Ilias
Published: (2026)

ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings
by: Brannon, William, et al.
Published: (2023)

Online Bayesian Imbalanced Learning with Bregman-Calibrated Deep Networks
by: Alsulaimawi, Zahir
Published: (2026)

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives
by: Liu, Wenxiao, et al.
Published: (2024)

Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning
by: Roth, Benedikt, et al.
Published: (2025)

Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
by: Lai, Peichao, et al.
Published: (2024)

Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment
by: Zhao, Kaiyan, et al.
Published: (2025)

Compass-Embedding v4: Robust Contrastive Learning for Multilingual E-commerce Embeddings
by: Ueareeworakul, Pakorn, et al.
Published: (2025)

Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
by: Rezaei, Mosab, et al.
Published: (2025)

Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning
by: Li, Tong, et al.
Published: (2025)

Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
by: Tsai, Yu-Che, et al.
Published: (2025)

Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
by: Zhao, Kaiyan, et al.
Published: (2023)

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker
by: De Lange, Matthias, et al.
Published: (2025)

NOSE: Neural Olfactory-Semantic Embedding with Tri-Modal Orthogonal Contrastive Learning
by: Su, Yanyi, et al.
Published: (2026)

Classification and Clustering of Sentence-Level Embeddings of Scientific Articles Generated by Contrastive Learning
by: Guedes, Gustavo Bartz, et al.
Published: (2024)

One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
by: Oda, Kohei, et al.
Published: (2025)

Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings
by: Weber, Tobias, et al.
Published: (2023)

Improving Disease Detection from Social Media Text via Self-Augmentation and Contrastive Learning
by: Khan, Pervaiz Iqbal, et al.
Published: (2024)

Causally Disentangled Contrastive Learning for Multilingual Speaker Embeddings
by: Olijslager, Mariëtte, et al.
Published: (2026)

A Dual-Perspective Approach to Evaluating Feature Attribution Methods
by: Li, Yawei, et al.
Published: (2023)