What makes a good concept anyway ?
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Khatwani, Naren, Geller, James |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
RAG without Forgetting: Continual Query-Infused Key Memory
par: Hu, Yuntong, et autres
Publié: (2026)
par: Hu, Yuntong, et autres
Publié: (2026)
What are the subjects that have an impetus to make information science into a cognitive one?
par: Biswas, Sayak
Publié: (2025)
par: Biswas, Sayak
Publié: (2025)
How good are LLMs at Retrieving Documents in a Specific Domain?
par: Islam, Nafis Tanveer, et autres
Publié: (2025)
par: Islam, Nafis Tanveer, et autres
Publié: (2025)
Are LLMs ready to help non-expert users to make charts of official statistics data?
par: Suleymanli, Gadir, et autres
Publié: (2025)
par: Suleymanli, Gadir, et autres
Publié: (2025)
Large language models are good medical coders, if provided with tools
par: Kwan, Keith
Publié: (2024)
par: Kwan, Keith
Publié: (2024)
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
par: Wang, Bohao, et autres
Publié: (2025)
par: Wang, Bohao, et autres
Publié: (2025)
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
par: Vrijenhoek, Sanne, et autres
Publié: (2024)
par: Vrijenhoek, Sanne, et autres
Publié: (2024)
What are the limits of cross-lingual dense passage retrieval for low-resource languages?
par: Wu, Jie, et autres
Publié: (2024)
par: Wu, Jie, et autres
Publié: (2024)
Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation
par: Hu, Guoqing, et autres
Publié: (2024)
par: Hu, Guoqing, et autres
Publié: (2024)
What Generative Search Engines Like and How to Optimize Web Content Cooperatively
par: Wu, Yujiang, et autres
Publié: (2025)
par: Wu, Yujiang, et autres
Publié: (2025)
What Should I Cite? A RAG Benchmark for Academic Citation Prediction
par: Zheng, Leqi, et autres
Publié: (2026)
par: Zheng, Leqi, et autres
Publié: (2026)
Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?
par: Muellner, Peter, et autres
Publié: (2025)
par: Muellner, Peter, et autres
Publié: (2025)
Human-Computer Interaction as a basis for assessing Geographic Information Retrieval Systems.
par: Manuel Enrique Puebla Martínez
Publié: (2018)
par: Manuel Enrique Puebla Martínez
Publié: (2018)
What Else Would I Like? A User Simulator using Alternatives for Improved Evaluation of Fashion Conversational Recommendation Systems
par: Vlachou, Maria, et autres
Publié: (2024)
par: Vlachou, Maria, et autres
Publié: (2024)
Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG
par: Tian, Fangzheng, et autres
Publié: (2025)
par: Tian, Fangzheng, et autres
Publié: (2025)
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase
par: Ding, Wanying, et autres
Publié: (2024)
par: Ding, Wanying, et autres
Publié: (2024)
Civic Ground Truth in News Recommenders: A Method for Public Value Scoring
par: Meese, James, et autres
Publié: (2025)
par: Meese, James, et autres
Publié: (2025)
OLS4: A new Ontology Lookup Service for a growing interdisciplinary knowledge ecosystem
par: McLaughlin, James, et autres
Publié: (2025)
par: McLaughlin, James, et autres
Publié: (2025)
TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering
par: Liu, Chengkai, et autres
Publié: (2024)
par: Liu, Chengkai, et autres
Publié: (2024)
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
par: Kim, Youngwoo, et autres
Publié: (2024)
par: Kim, Youngwoo, et autres
Publié: (2024)
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
par: Ren, Zhicheng, et autres
Publié: (2024)
par: Ren, Zhicheng, et autres
Publié: (2024)
RAG for Geoscience: What We Expect, Gaps and Opportunities
par: Yu, Runlong, et autres
Publié: (2025)
par: Yu, Runlong, et autres
Publié: (2025)
Federated Conversational Recommender System
par: Lin, Allen, et autres
Publié: (2025)
par: Lin, Allen, et autres
Publié: (2025)
HLTCOE at TREC 2024 NeuCLIR Track
par: Yang, Eugene, et autres
Publié: (2025)
par: Yang, Eugene, et autres
Publié: (2025)
Language Representations Can be What Recommenders Need: Findings and Potentials
par: Sheng, Leheng, et autres
Publié: (2024)
par: Sheng, Leheng, et autres
Publié: (2024)
Detecting Anti-vaccine Content on Twitter using Multiple Message-Based Network Representations
par: Ashford, James R.
Publié: (2024)
par: Ashford, James R.
Publié: (2024)
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
par: Liu, Chengkai, et autres
Publié: (2024)
par: Liu, Chengkai, et autres
Publié: (2024)
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
par: Wang, Jianling, et autres
Publié: (2024)
par: Wang, Jianling, et autres
Publié: (2024)
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
par: Liu, Chengkai, et autres
Publié: (2024)
par: Liu, Chengkai, et autres
Publié: (2024)
NeuCLIRTech: Chinese Monolingual and Cross-Language Information Retrieval Evaluation in a Challenging Domain
par: Lawrie, Dawn, et autres
Publié: (2026)
par: Lawrie, Dawn, et autres
Publié: (2026)
Flow Matching for Collaborative Filtering
par: Liu, Chengkai, et autres
Publié: (2025)
par: Liu, Chengkai, et autres
Publié: (2025)
RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
par: Yang, Eugene, et autres
Publié: (2026)
par: Yang, Eugene, et autres
Publié: (2026)
Indexing Depth and Retrieval Effectiveness
par: Seely, Barbara J.
Publié: (1972)
par: Seely, Barbara J.
Publié: (1972)
Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
par: Tang, Yixuan, et autres
Publié: (2024)
par: Tang, Yixuan, et autres
Publié: (2024)
Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation
par: Du, Wei-Wei, et autres
Publié: (2025)
par: Du, Wei-Wei, et autres
Publié: (2025)
Open, to What End? A Capability-Theoretic Perspective on Open Search
par: Neophytou, Nicola, et autres
Publié: (2026)
par: Neophytou, Nicola, et autres
Publié: (2026)
Full Text Searching and Information Overload.
par: Olsen, Kai A., et autres
Publié: (1998)
par: Olsen, Kai A., et autres
Publié: (1998)
Efficient Item ID Generation for Large-Scale LLM-based Recommendation
par: Subbiah, Anushya, et autres
Publié: (2025)
par: Subbiah, Anushya, et autres
Publié: (2025)
You Are What You Bought: Generating Customer Personas for E-commerce Applications
par: Shi, Yimin, et autres
Publié: (2025)
par: Shi, Yimin, et autres
Publié: (2025)
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?
par: Fan, Yu-chen, et autres
Publié: (2023)
par: Fan, Yu-chen, et autres
Publié: (2023)
Documents similaires
-
RAG without Forgetting: Continual Query-Infused Key Memory
par: Hu, Yuntong, et autres
Publié: (2026) -
What are the subjects that have an impetus to make information science into a cognitive one?
par: Biswas, Sayak
Publié: (2025) -
How good are LLMs at Retrieving Documents in a Specific Domain?
par: Islam, Nafis Tanveer, et autres
Publié: (2025) -
Are LLMs ready to help non-expert users to make charts of official statistics data?
par: Suleymanli, Gadir, et autres
Publié: (2025) -
Large language models are good medical coders, if provided with tools
par: Kwan, Keith
Publié: (2024)