Image de couverture de livre

Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chakraborty, Mohna, Kulkarni, Adithya, Li, Qi
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
par: Kim, Yejin, et autres
Publié: (2024)

CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets
par: Wang, Yujing, et autres
Publié: (2025)

RAGSys: Item-Cold-Start Recommender as RAG System
par: Contal, Emile, et autres
Publié: (2024)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
par: Lemdiasova, Ekaterina, et autres
Publié: (2026)

Detecting Alarming Student Verbal Responses using Text and Audio Classifier
par: Ormerod, Christopher, et autres
Publié: (2026)

Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
par: Park, Sangkwon, et autres
Publié: (2026)

Ordered Semantically Diverse Sampling for Textual Data
par: Tiwari, Ashish, et autres
Publié: (2025)

RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG
par: Roy, Rishiraj Saha, et autres
Publié: (2024)

Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
par: Yuan, Jiahao, et autres
Publié: (2026)

Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana
par: Filice, Simone, et autres
Publié: (2025)

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
par: Zhu, Kunlun, et autres
Publié: (2024)

Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
par: Zhao, Ziyi, et autres
Publié: (2026)

EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation
par: Li, Yihang, et autres
Publié: (2026)

DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
par: Ma, Xueguang, et autres
Publié: (2025)

Large Language Models as Data Augmenters for Cold-Start Item Recommendation
par: Wang, Jianling, et autres
Publié: (2024)

Genetic Approach to Mitigate Hallucination in Generative IR
par: Kulkarni, Hrishikesh, et autres
Publié: (2024)

Federated Retrieval-Augmented Generation: A Systematic Mapping Study
par: Chakraborty, Abhijit, et autres
Publié: (2025)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
par: Wu, Xuansheng, et autres
Publié: (2023)

Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
par: Hänsch, S., et autres
Publié: (2026)

Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation
par: Subbaraman, Nachiket, et autres
Publié: (2025)

FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
par: Tang, Yongjian, et autres
Publié: (2024)

MapQA: Open-domain Geospatial Question Answering on Map Data
par: Li, Zekun, et autres
Publié: (2025)

The Text Classification Pipeline: Starting Shallow going Deeper
par: Siino, Marco, et autres
Publié: (2024)

Vector Retrieval with Similarity and Diversity: How Hard Is It?
par: Gao, Hang, et autres
Publié: (2024)

Open-World Evaluation for Retrieving Diverse Perspectives
par: Chen, Hung-Ting, et autres
Publié: (2024)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
par: Liu, Wenhan, et autres
Publié: (2024)

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
par: Tang, Xing, et autres
Publié: (2026)

Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation
par: Salemi, Alireza, et autres
Publié: (2025)

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens
par: Albarede, Lucas, et autres
Publié: (2025)

Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
par: Li, Guanrong, et autres
Publié: (2025)

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems
par: Kusano, Genki, et autres
Publié: (2024)

GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
par: Luo, Kangyang, et autres
Publié: (2025)

Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
par: Zhou, Tong
Publié: (2025)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
par: Xu, Yongxin, et autres
Publié: (2024)

Information Extraction From Fiscal Documents Using LLMs
par: Aggarwal, Vikram, et autres
Publié: (2025)

Large Language Model Simulator for Cold-Start Recommendation
par: Huang, Feiran, et autres
Publié: (2024)

Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval
par: Chen, Hung-Ting, et autres
Publié: (2025)

Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection
par: Khetan, Vivek
Publié: (2024)

Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE
par: Chakraborty, Abhijit, et autres
Publié: (2025)

Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations
par: Zhang, Xiaoqing, et autres
Publié: (2024)