Image de couverture de livre

Improving GenIR Systems Based on User Feedback

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ai, Qingyao, Dou, Zhicheng, Zhang, Min
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Foundations of GenIR
par: Ai, Qingyao, et autres
Publié: (2025)

Reverse-Engineering the Retrieval Process in GenIR Models
par: Reusch, Anja, et autres
Publié: (2025)

An In-depth Investigation of User Response Simulation for Conversational Search
par: Wang, Zhenduo, et autres
Publié: (2023)

EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation
par: Zhang, Shaorun, et autres
Publié: (2024)

Towards Better Understanding of User Satisfaction in Open-Domain Conversational Search
par: Chu, Zhumin, et autres
Publié: (2022)

Generalized Pseudo-Relevance Feedback
par: Tu, Yiteng, et autres
Publié: (2025)

Improving Legal Case Retrieval with Brain Signals
par: Zhang, Ruizhe, et autres
Publié: (2024)

Gender Biased Legal Case Retrieval System on Users' Decision Process
par: Zhang, Ruizhe, et autres
Publié: (2024)

A Situation-aware Enhancer for Personalized Recommendation
par: Li, Jiayu, et autres
Publié: (2024)

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution
par: Chen, Junjie, et autres
Publié: (2025)

Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
par: Su, Weihang, et autres
Publié: (2023)

DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes
par: Cheng, Jiehan, et autres
Publié: (2025)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback
par: Dong, Qian, et autres
Publié: (2023)

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
par: Xv, Guipeng, et autres
Publié: (2024)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
par: Yang, Shenghao, et autres
Publié: (2024)

Sequential Recommendation with Latent Relations based on Large Language Model
par: Yang, Shenghao, et autres
Publié: (2024)

SumRank: Aligning Summarization Models for Long-Document Listwise Reranking
par: Feng, Jincheng, et autres
Publié: (2026)

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
par: Cheng, Yiruo, et autres
Publié: (2024)

Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation
par: Chen, Haonan, et autres
Publié: (2024)

Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
par: Tu, Yiteng, et autres
Publié: (2026)

Beyond Exposure: Optimizing Ranking Fairness with Non-linear Time-Income Functions
par: Li, Xuancheng, et autres
Publié: (2026)

Counterfactual Editing for Search Result Explanation
par: Xu, Zhichao, et autres
Publié: (2023)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
par: Cai, Shihao, et autres
Publié: (2024)

PRE: A Peer Review Based Large Language Model Evaluator
par: Chu, Zhumin, et autres
Publié: (2024)

GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
par: Wongso, Wilson, et autres
Publié: (2024)

Improving Sequential Query Recommendation with Immediate User Feedback
par: Parambath, Shameem A Puthiya, et autres
Publié: (2022)

User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
par: Wang, Jianling, et autres
Publié: (2025)

Multi-Field Tool Retrieval
par: Tang, Yichen, et autres
Publié: (2026)

Understanding the Ranking Loss for Recommendation with Sparse User Feedback
par: Lin, Zhutian, et autres
Publié: (2024)

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism
par: Zhou, Yujia, et autres
Publié: (2024)

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
par: Zhao, Tong, et autres
Publié: (2026)

Unsupervised dense retrieval with conterfactual contrastive learning
par: Chen, Haitian, et autres
Publié: (2024)

RecThinker: An Agentic Framework for Tool-Augmented Reasoning in Recommendation
par: Zhang, Haobo, et autres
Publié: (2026)

Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
par: Li, Jiayu, et autres
Publié: (2025)

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
par: Tan, Jiejun, et autres
Publié: (2024)

Improving Sequential Recommender Systems with Online and In-store User Behavior
par: Ma, Luyi, et autres
Publié: (2024)

A Multi-Task Embedder For Retrieval Augmented LLMs
par: Zhang, Peitian, et autres
Publié: (2023)

CrossPT-EEG: A Benchmark for Cross-Participant and Cross-Time Generalization of EEG-based Visual Decoding
par: Zhu, Shuqi, et autres
Publié: (2024)

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

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
par: Deng, Chenlong, et autres
Publié: (2024)