Cover Image

Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Mingxin, Zhang, Richong, Nie, Zhijie
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CoRect: Context-Aware Logit Contrast for Hidden State Rectification to Resolve Knowledge Conflicts
by: Ma, Xuhua, et al.
Published: (2026)

Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
by: Li, Mingxin, et al.
Published: (2024)

A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
by: Nie, Zhijie, et al.
Published: (2024)

Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
by: Zhang, Pieyi, et al.
Published: (2025)

Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
by: An, Ruize, et al.
Published: (2025)

Code-Style In-Context Learning for Knowledge-Based Question Answering
by: Nie, Zhijie, et al.
Published: (2023)

When Text Embedding Meets Large Language Model: A Comprehensive Survey
by: Nie, Zhijie, et al.
Published: (2024)

Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios
by: Wang, Zhongyuan, et al.
Published: (2024)

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning
by: Wang, Huiming, et al.
Published: (2023)

A Graph-based Verification Framework for Fact-Checking
by: Huang, Yani, et al.
Published: (2025)

General Table Question Answering via Answer-Formula Joint Generation
by: Wang, Zhongyuan, et al.
Published: (2025)

Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
by: Feng, Zhangchi, et al.
Published: (2024)

Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking
by: Dai, Ziqi, et al.
Published: (2025)

inversedMixup: Data Augmentation via Inverting Mixed Embeddings
by: Kong, Fanshuang, et al.
Published: (2026)

AR-BENCH: Benchmarking Legal Reasoning with Judgment Error Detection, Classification and Correction
by: Li, Yifei, et al.
Published: (2026)

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
by: Zhu, Dongsheng, et al.
Published: (2022)

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations
by: Feng, Zhangchi, et al.
Published: (2024)

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

On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions
by: Liu, Dezhi, et al.
Published: (2020)

Pixel Sentence Representation Learning
by: Xiao, Chenghao, et al.
Published: (2024)

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

DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning
by: He, Kang, et al.
Published: (2025)

Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings
by: Oh, Minsik, et al.
Published: (2023)

CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass
by: Zhang, Bowen, et al.
Published: (2025)

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

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

LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
by: Kong, Fanshuang, et al.
Published: (2024)

Activated Parameter Locating via Causal Intervention for Model Merging
by: Kong, Fanshuang, et al.
Published: (2024)

A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models
by: Emura, Rei, et al.
Published: (2026)

S2Sent: Nested Selectivity Aware Sentence Representation Learning
by: Zang, Jianxiang, 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)

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

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
by: Liu, Shang, et al.
Published: (2024)

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

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

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
by: Liu, Fuxiao, et al.
Published: (2023)

Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings
by: Zhou, Jinzhao, et al.
Published: (2024)

Sentence Representations via Gaussian Embedding
by: Yoda, Shohei, et al.
Published: (2023)

Debiasing Sentence Embedders through Contrastive Word Pairs
by: Kenneweg, Philip, et al.
Published: (2024)

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
by: Wang, Xinghao, et al.
Published: (2024)