Jianxun Lian
18 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
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NIPS (2)
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ICML (1)
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Keywords
large language model
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representation learning
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recommender system
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attention mechanism
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collaborative filtering
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user modeling
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news recommendation
(2)
pre-trained language model
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graph neural network
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benchmark evaluation
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reward modeling
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knowledge distillation
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in-context learning
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entity linking
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metric learning
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reinforcement learning
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efficient inference
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self-supervised learning
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llm evaluation
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Papers
Explaining Length Bias in LLM-Based Preference Evaluations
EMNLP 2025
Hierarchical Reward Modeling for Fault Localization in Large Code Repositories
EMNLP 2025
SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
ACL 2025
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
ACL 2025
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
NAACL 2025
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
NAACL 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
ICML 2024
Aligning Large Language Models for Controllable Recommendations
ACL 2024
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
AAAI 2024
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
NIPS 2023
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
NIPS 2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
ACL 2023
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
EMNLP 2020
MIND: A Large-scale Dataset for News Recommendation
ACL 2020
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
IJCAI 2019
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
IJCAI 2019
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
IJCAI 2018