:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Guanrong, Yang, Haolin, Liu, Xinyu, Wu, Zhen, Dai, Xinyu
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.08051
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

XAttnRes: Cross-Stage Attention Residuals for Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2026)

Check Field Detection Agent (CFD-Agent) using Multimodal Large Language and Vision Language Models
by: Halder, Sourav, et al.
Published: (2025)

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
by: Lv, Zheqi, et al.
Published: (2025)

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

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

Counterfactual Reasoning in Automated Planning
by: Pozanco, Alberto, et al.
Published: (2026)

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