Copertina

Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jung, Euna, Kim, Jaeill, Ko, Jungmin, Park, Jinwoo, Rhee, Wonjong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

When Confidence Misleads: Suffix Anchoring and Anchor-Proximity Confidence Modulation for Diffusion Language Models
di: Park, Jungwon, et al.
Pubblicazione: (2026)

Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
di: Kim, Jaeill, et al.
Pubblicazione: (2024)

Soft Head Selection for Injecting ICL-Derived Task Embeddings
di: Park, Jungwon, et al.
Pubblicazione: (2025)

DOS: Directional Object Separation in Text Embeddings for Multi-Object Image Generation
di: Byun, Dongnam, et al.
Pubblicazione: (2025)

On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations
di: Jung, Euna, et al.
Pubblicazione: (2024)

Evaluating Feature Attribution Methods for Electrocardiogram
di: Suh, Jangwon, et al.
Pubblicazione: (2022)

Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders
di: Kim, Jinseok, et al.
Pubblicazione: (2024)

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation
di: Park, Jungwon, et al.
Pubblicazione: (2026)

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering
di: Choi, Changin, et al.
Pubblicazione: (2025)

Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models
di: Park, Jungwon, et al.
Pubblicazione: (2024)

Orthogonal Negative Guidance in Attention Feature Space for Text-to-Image Generation
di: Ko, Jungmin, et al.
Pubblicazione: (2026)

Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
di: Kim, Jimyeong, et al.
Pubblicazione: (2024)

Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
di: Kim, Jaeill, et al.
Pubblicazione: (2024)

Making Sense of Korean Sentences: A Comprehensive Evaluation of LLMs through KoSEnd Dataset
di: Yu, Seunguk, et al.
Pubblicazione: (2025)

Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis
di: Seo, Yongsik, et al.
Pubblicazione: (2024)

An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
di: Kim, Wonkyun, et al.
Pubblicazione: (2024)

Sentence Representations via Gaussian Embedding
di: Yoda, Shohei, et al.
Pubblicazione: (2023)

Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
di: He, Liyang, et al.
Pubblicazione: (2025)

Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis
di: Zheng, Guangmin, et al.
Pubblicazione: (2024)

FoRA: Fisher-orthogonal Rank Adaptation for Parameter-Efficient Fine-Tuning
di: Park, Juneyoung, et al.
Pubblicazione: (2026)

Amplifying Aspect-Sentence Awareness: A Novel Approach for Aspect-Based Sentiment Analysis
di: Lawan, Adamu, et al.
Pubblicazione: (2024)

Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents
di: Grosjean, Juri, et al.
Pubblicazione: (2024)

STF: Sentence Transformer Fine-Tuning For Topic Categorization With Limited Data
di: Daouadi, Kheir Eddine, et al.
Pubblicazione: (2024)

Hyper-CL: Conditioning Sentence Representations with Hypernetworks
di: Yoo, Young Hyun, et al.
Pubblicazione: (2024)

Static Word Embeddings for Sentence Semantic Representation
di: Wada, Takashi, et al.
Pubblicazione: (2025)

Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)
di: Kang, Sunghoon, et al.
Pubblicazione: (2024)

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

Space Decomposition for Sentence Embedding
di: Ponwitayarat, Wuttikorn, et al.
Pubblicazione: (2024)

Text Simplification with Sentence Embeddings
di: Shardlow, Matthew
Pubblicazione: (2025)

Latent Reasoning via Sentence Embedding Prediction
di: Hwang, Hyeonbin, et al.
Pubblicazione: (2025)

Fine-Tuning Small Embeddings for Elevated Performance
di: Silwal, Biraj
Pubblicazione: (2024)

Set-Theoretic Compositionality of Sentence Embeddings
di: Bansal, Naman, et al.
Pubblicazione: (2025)

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
di: Song, Yeji, et al.
Pubblicazione: (2024)

Unveiling the Generalization Power of Fine-Tuned Large Language Models
di: Yang, Haoran, et al.
Pubblicazione: (2024)

SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features
di: Opitz, Juri, et al.
Pubblicazione: (2022)

What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"
di: Lee, Joosung, et al.
Pubblicazione: (2026)

High-Rank Structured Modulation for Parameter-Efficient Fine-Tuning
di: Liu, Yongkang, et al.
Pubblicazione: (2026)

Auto-ABSA: Cross-Domain Aspect Detection and Sentiment Analysis Using Auxiliary Sentences
di: Wang, Teng, et al.
Pubblicazione: (2022)

Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation
di: Chen, Zihao, et al.
Pubblicazione: (2025)

Prompted Aspect Key Point Analysis for Quantitative Review Summarization
di: Tang, An Quang, et al.
Pubblicazione: (2024)