Large Language Model
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On Softmax Direct Preference Optimization for Recommendation Yuxin Chen 1 Junfei T an
Neural Information Processing Systems
Recommender systems aim to predict personalized rankings based on user preference data.
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Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction Haoran Luo
Neural Information Processing Systems
Beyond traditional binary relational facts, n-ary relational knowledge graphs (NKGs) are comprised of n-ary relational facts containing more than two entities, which are closer to real-world facts with broader applications.
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Evaluating the World Model Implicit in a Generative Model
Neural Information Processing Systems
Recent work suggests that large language models may implicitly learn world models. How should we assess this possibility?
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When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search Xuan Chen
Neural Information Processing Systems
Warning: This paper contains unfiltered and potentially harmful content.
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