:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kaushik, Abhishek, Rush, Kayla
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.06420
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sociotechnical Implications of Generative Artificial Intelligence for Information Access
by: Mitra, Bhaskar, et al.
Published: (2024)

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024)

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
by: Yin, Jun, et al.
Published: (2026)

Popularity Estimation and New Bundle Generation using Content and Context based Embeddings
by: Nayak, Ashutosh, et al.
Published: (2024)

Bridging Semantic Understanding and Popularity Bias with LLMs
by: Luo, Renqiang, et al.
Published: (2026)

Balancing Accuracy and Novelty with Sub-Item Popularity
by: Mallamaci, Chiara, et al.
Published: (2025)

Can Artificial Intelligence Generate Quality Research Topics Reflecting Patient Concerns?
by: Kim, Jiyeong, et al.
Published: (2024)

L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)
by: Shailendra, Samar, et al.
Published: (2026)

Innovations in Cover Song Detection: A Lyrics-Based Approach
by: Balluff, Maximilian, et al.
Published: (2024)

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
by: Kang, SeongKu, et al.
Published: (2025)

Plans for Evaluating Structured Generative Search Summaries
by: Sakai, Tetsuya, et al.
Published: (2026)

Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
by: Liu, Lingfeng, et al.
Published: (2025)

Towards Reliable Negative Sampling for Recommendation with Implicit Feedback via In-Community Popularity
by: Chen, Chen, et al.
Published: (2026)

Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
by: Jeon, Hyunsik, et al.
Published: (2023)

Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure
by: Agarwal, Rahul, et al.
Published: (2025)

Search Engines Post-ChatGPT: How Generative Artificial Intelligence Could Make Search Less Reliable
by: Memon, Shahan Ali, et al.
Published: (2024)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
by: Lin, Siyi, et al.
Published: (2024)

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
by: Liu, Jiahao, et al.
Published: (2025)

Artificial Intelligence for Literature Reviews: Opportunities and Challenges
by: Bolanos, Francisco, et al.
Published: (2024)

PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence
by: Jin, Qiao, et al.
Published: (2023)

Recommending Clinical Trials for Online Patient Cases using Artificial Intelligence
by: Chan, Joey, et al.
Published: (2025)

Aligning Recommendations with User Popularity Preferences
by: Schirmer, Mona, et al.
Published: (2026)

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach
by: Motiyani, Isha, et al.
Published: (2026)

AWED-FiNER: Agents, Web applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers
by: Kaushik, Prachuryya, et al.
Published: (2026)

Improving Scientific Document Retrieval with Academic Concept Index
by: Lee, Jeyun, et al.
Published: (2026)

A Survey on Popularity Bias in Recommender Systems
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)

Artificial Intelligence enhanced Security Problems in Real-Time Scenario using Blowfish Algorithm
by: Chinnam, Yuvaraju, et al.
Published: (2024)

InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning
by: Wang, Zheng, et al.
Published: (2025)

HiGR: Efficient Generative Slate Recommendation via Hierarchical Planning and Multi-Objective Preference Alignment
by: Pang, Yunsheng, et al.
Published: (2025)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
by: Li, Qingyao, et al.
Published: (2024)

AI Co-Scientist for Knowledge Synthesis in Medical Contexts: A Proof of Concept
by: Rahgozar, Arya, et al.
Published: (2026)

Generative Reasoning Re-ranker
by: Liang, Mingfu, et al.
Published: (2026)

Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
by: Di Palma, Dario, et al.
Published: (2026)

Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs
by: Gu, Hengnian, et al.
Published: (2024)

REST: Retrieval-Based Speculative Decoding
by: He, Zhenyu, et al.
Published: (2023)

Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
by: Bansal, Sahil, et al.
Published: (2025)

Large Language Models as Recommender Systems: A Study of Popularity Bias
by: Lichtenberg, Jan Malte, et al.
Published: (2024)

Behavioral Intelligence Platforms: From Event Streams to Autonomous Insight via Probabilistic Journey Graphs, Behavioral Knowledge Extraction, and Grounded Language Generation
by: Patra, Arun, et al.
Published: (2026)

CLLMRec: LLM-powered Cognitive-Aware Concept Recommendation via Semantic Alignment and Prerequisite Knowledge Distillation
by: Xiong, Xiangrui, et al.
Published: (2025)

Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
by: Salemi, Alireza, et al.
Published: (2026)