:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Guitao, Wang, Yunshen, Sun, Hongye, Chen, Guang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	https://arxiv.org/abs/2408.09459
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
by: Zhukova, Anastasia, et al.
Published: (2025)

RecDCL: Dual Contrastive Learning for Recommendation
by: Zhang, Dan, et al.
Published: (2024)

SparseCL: Sparse Contrastive Learning for Contradiction Retrieval
by: Xu, Haike, et al.
Published: (2024)

Revela: Dense Retriever Learning via Language Modeling
by: Cai, Fengyu, et al.
Published: (2025)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
by: Fan, Yuxin, et al.
Published: (2025)

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
by: Zhang, Chiyu, et al.
Published: (2024)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models
by: Lin, Jianghao, et al.
Published: (2025)

Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
by: Xu, Jian, et al.
Published: (2025)

Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
by: Kim, Yejin, et al.
Published: (2024)

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
by: Liu, Qi, et al.
Published: (2025)

Learning to Retrieve In-Context Examples for Large Language Models
by: Wang, Liang, et al.
Published: (2023)

Isotropy-Optimized Contrastive Learning for Semantic Course Recommendation
by: Khreis, Ali, et al.
Published: (2026)

Mitigating the Threshold Priming Effect in Large Language Model-Based Relevance Judgments via Personality Infusing
by: Chen, Nuo, et al.
Published: (2025)

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
by: Chen, Zhongpu, et al.
Published: (2025)

Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
by: Ai, Wei, et al.
Published: (2024)

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
by: Salemi, Alireza, et al.
Published: (2024)

Distillation versus Contrastive Learning: How to Train Your Rerankers
by: Xu, Zhichao, et al.
Published: (2025)

Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
by: Cong, Youan, et al.
Published: (2024)

CURE:Circuit-Aware Unlearning for LLM-based Recommendation
by: Chen, Ziheng, et al.
Published: (2026)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
by: Chen, Yiqun, et al.
Published: (2024)

InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models
by: Huang, Chao-Wei, et al.
Published: (2024)

Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
by: Ji, Luo, et al.
Published: (2024)

RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
by: Chen, Tingyu, et al.
Published: (2026)

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
by: Chen, Shijie, et al.
Published: (2024)

Large Language Models for Information Retrieval: A Survey
by: Zhu, Yutao, et al.
Published: (2023)

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
by: Wang, Mingyue, et al.
Published: (2026)

BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
by: Zhiyuli, Aakas, et al.
Published: (2023)

Integrating Large Language Models with Graphical Session-Based Recommendation
by: Guo, Naicheng, et al.
Published: (2024)

PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
by: Zhang, Kepu, et al.
Published: (2025)

CSPLADE: Learned Sparse Retrieval with Causal Language Models
by: Xu, Zhichao, et al.
Published: (2025)

Ambiguity-Aware In-Context Learning with Large Language Models
by: Gao, Lingyu, et al.
Published: (2023)

Summarization-Based Document IDs for Generative Retrieval with Language Models
by: Li, Haoxin, et al.
Published: (2023)

Enhancing Lexicon-Based Text Embeddings with Large Language Models
by: Lei, Yibin, et al.
Published: (2025)

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis
by: Cui, Tianyu, et al.
Published: (2024)

Text Embeddings by Weakly-Supervised Contrastive Pre-training
by: Wang, Liang, et al.
Published: (2022)

GRACE: Generative Representation Learning via Contrastive Policy Optimization
by: Sun, Jiashuo, et al.
Published: (2025)

Large Language Models Make Sample-Efficient Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024)

Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
by: Chen, Ben, et al.
Published: (2024)