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Contrastive Learning

3,535 papers

Papers per year

Papers

FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024
Nearest Neighbor Normalization Improves Multimodal Retrieval EMNLP 2024
INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024
Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction EMNLP 2024
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance EMNLP 2024
Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests EMNLP 2024
Athena: Safe Autonomous Agents with Verbal Contrastive Learning EMNLP 2024
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model EMNLP 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts EMNLP 2024
BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP 2024
Scaling Sentence Embeddings with Large Language Models EMNLP 2024
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation EMNLP 2024
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully EMNLP 2024
Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024
A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation EMNLP 2024
Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance EMNLP 2024
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery EMNLP 2024
An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions EMNLP 2024
Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation EMNLP 2024
What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models EMNLP 2024
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization EMNLP 2024
Platform-Invariant Topic Modeling via Contrastive Learning to Mitigate Platform-Induced Bias EMNLP 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024
Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis EMNLP 2024