Image de couverture de livre

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Lei, Lim, Ee-Peng
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On Reasoning Behind Next Occupation Recommendation
par: Dong, Shan, et autres
Publié: (2026)

Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
par: Jiang, Ye, et autres
Publié: (2025)

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
par: Tang, Jiakai, et autres
Publié: (2025)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
par: Zhang, Yabin, et autres
Publié: (2024)

Sequential LLM Framework for Fashion Recommendation
par: Liu, Han, et autres
Publié: (2024)

JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture
par: Nguyen, Minh-Anh, et autres
Publié: (2025)

Pctx: Tokenizing Personalized Context for Generative Recommendation
par: Zhong, Qiyong, et autres
Publié: (2025)

ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
par: Chen, Zihan, et autres
Publié: (2025)

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
par: Zou, Jie, et autres
Publié: (2025)

Explainable Recommendation with Simulated Human Feedback
par: Tang, Jiakai, et autres
Publié: (2025)

In-context Learning with Retrieved Demonstrations for Language Models: A Survey
par: Luo, Man, et autres
Publié: (2024)

RGAlign-Rec: Ranking-Guided Alignment for Latent Query Reasoning in Recommendation Systems
par: Liu, Junhua, et autres
Publié: (2026)

CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
par: Li, Yaoyiran, et autres
Publié: (2024)

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
par: Li, Lei, et autres
Publié: (2023)

GenRec: Generative Sequential Recommendation with Large Language Models
par: Cao, Panfeng, et autres
Publié: (2024)

Multi-Perspective Attention Mechanism for Bias-Aware Sequential Recommendation
par: Fu, Mingjian, et autres
Publié: (2025)

AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG
par: Peng, Chao, et autres
Publié: (2025)

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering with Scalable Context and Symbolic Extension
par: Qiu, Zipeng, et autres
Publié: (2024)

Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO
par: Li, Ran, et autres
Publié: (2025)

Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
par: Ling, Xinyi, et autres
Publié: (2024)

CiteBART: Learning to Generate Citations for Local Citation Recommendation
par: Çelik, Ege Yiğit, et autres
Publié: (2024)

Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention
par: Jung, Hansol, et autres
Publié: (2024)

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
par: Qu, Haohao, et autres
Publié: (2024)

Chained Prompting for Better Systematic Review Search Strategies
par: Nasser, Fatima, et autres
Publié: (2025)

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
par: Hadad, Guy, et autres
Publié: (2025)

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
par: Zheng, Kai, et autres
Publié: (2024)

Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation
par: Li, Mufei, et autres
Publié: (2025)

Context-DPO: Aligning Language Models for Context-Faithfulness
par: Bi, Baolong, et autres
Publié: (2024)

Multimodal Quantitative Language for Generative Recommendation
par: Zhai, Jianyang, et autres
Publié: (2025)

SCARV: Structure-Constrained Aggregation for Stable Sample Ranking in Redundant NLP Datasets
par: Zheng, Xu, et autres
Publié: (2026)

Exposing Product Bias in LLM Investment Recommendation
par: Zhi, Yuhan, et autres
Publié: (2025)

Recommender Systems in the Era of Large Language Models (LLMs)
par: Zhao, Zihuai, et autres
Publié: (2023)

TRACE: Tourism Recommendation with Accountable Citation Evidence
par: Zhao, Zixu, et autres
Publié: (2026)

Stealthy Attack on Large Language Model based Recommendation
par: Zhang, Jinghao, et autres
Publié: (2024)

Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
par: Lee, Juhyeon, et autres
Publié: (2025)

DoTA-RAG: Dynamic of Thought Aggregation RAG
par: Ruangtanusak, Saksorn, et autres
Publié: (2025)

Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
par: Qiu, Zhangchi, et autres
Publié: (2023)

Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering
par: Amirizaniani, Maryam, et autres
Publié: (2026)

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
par: Liu, Yutian, et autres
Publié: (2025)

R$^2$ec: Towards Large Recommender Models with Reasoning
par: You, Runyang, et autres
Publié: (2025)