Copertina

Counterfactual Language Reasoning for Explainable Recommendation Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Guanrong, Yang, Haolin, Liu, Xinyu, Wu, Zhen, Dai, Xinyu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Persona-Aware Alignment Framework for Personalized Dialogue Generation
di: Li, Guanrong, et al.
Pubblicazione: (2025)

Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population)
di: Qin, Xinyu, et al.
Pubblicazione: (2025)

Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination
di: Jiang, Jinrui, et al.
Pubblicazione: (2026)

Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
di: Zhu, Junze, et al.
Pubblicazione: (2026)

Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation
di: Anwaar, Fahad, et al.
Pubblicazione: (2026)

A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model
di: Xiang, Ao, et al.
Pubblicazione: (2024)

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
di: Liu, Yutian, et al.
Pubblicazione: (2025)

Comparative Explanations via Counterfactual Reasoning in Recommendations
di: Yu, Yi, et al.
Pubblicazione: (2025)

Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
di: Li, Guanrong, et al.
Pubblicazione: (2025)

Entire Space Counterfactual Learning for Reliable Content Recommendations
di: Wang, Hao, et al.
Pubblicazione: (2022)

Explainable Session-based Recommendation via Path Reasoning
di: Cao, Yang, et al.
Pubblicazione: (2024)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
di: Cheng, Xiaoxue, et al.
Pubblicazione: (2025)

Denoising Long- and Short-term Interests for Sequential Recommendation
di: Zhang, Xinyu, et al.
Pubblicazione: (2024)

A Survey on Explainable Deep Reinforcement Learning
di: Cheng, Zelei, et al.
Pubblicazione: (2025)

R$^2$ec: Towards Large Recommender Models with Reasoning
di: You, Runyang, et al.
Pubblicazione: (2025)

Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark
di: He, Liang, et al.
Pubblicazione: (2025)

GPO: Learning from Critical Steps to Improve LLM Reasoning
di: Yu, Jiahao, et al.
Pubblicazione: (2025)

NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems
di: Li, Xiaozhe, et al.
Pubblicazione: (2025)

Counterfactual Reciprocal Recommender Systems for User-to-User Matching
di: Kawamura, Kazuki, et al.
Pubblicazione: (2025)

Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems
di: Pan, Le, et al.
Pubblicazione: (2025)

SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendation
di: Wang, Xinyu, et al.
Pubblicazione: (2026)

RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
di: Wang, Hui, et al.
Pubblicazione: (2026)

Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation
di: Chen, Yuzhe, et al.
Pubblicazione: (2026)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
di: Hu, Wenbo, et al.
Pubblicazione: (2023)

Shortcut to Nowhere: Demystifying Deep Spurious Regression
di: Xu, Guanrong, et al.
Pubblicazione: (2026)

Unlocking the Potential of Large Language Models for Explainable Recommendations
di: Luo, Yucong, et al.
Pubblicazione: (2023)

L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning (Preprint)
di: Xu, Tianxiang, et al.
Pubblicazione: (2025)

GLARE: Agentic Reasoning for Legal Judgment Prediction
di: Yang, Xinyu, et al.
Pubblicazione: (2025)

From Ranking to Reasoning: Explainable Web API Recommendation via Semantic Reasoning
di: Xu, Zishuo, et al.
Pubblicazione: (2025)

On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study
di: Yang, Shuai, et al.
Pubblicazione: (2025)

AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability
di: Zhao, Fei, et al.
Pubblicazione: (2024)

Counterfactual Reasoning in Automated Planning
di: Pozanco, Alberto, et al.
Pubblicazione: (2026)

WebNavigator: Global Web Navigation via Interaction Graph Retrieval
di: Zhang, Xuanwang, et al.
Pubblicazione: (2026)

Dynamic Demonstrations Controller for In-Context Learning
di: Zhao, Fei, et al.
Pubblicazione: (2023)

Are Large Language Models Good In-context Learners for Financial Sentiment Analysis?
di: Wei, Xinyu, et al.
Pubblicazione: (2025)

MTFinEval:A Multi-domain Chinese Financial Benchmark with Eurypalynous questions
di: Liu, Xinyu, et al.
Pubblicazione: (2024)

AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems
di: Ma, Bo, et al.
Pubblicazione: (2025)

DEFLECT: Delay-Robust Execution via Flow-matching Likelihood-Estimated Counterfactual Tuning for VLA Policies
di: Zhu, Yixiang, et al.
Pubblicazione: (2026)

Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
di: Ahn, Yongsu, et al.
Pubblicazione: (2024)

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
di: Wu, Zhaofeng, et al.
Pubblicazione: (2023)