Chaofan Li

Research on the tag aided IoT service clustering

2016

IoT Service clustering is the basis for service discovery, service composition and service recommendation in Internet of Things. However, most existing IoT service clustering approaches solely focus on utilizing service description text. This paper proposes …

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

2024 · arXiv (Cornell University)

Evaluation plays a crucial role in the advancement of information retrieval (IR) models. However, current benchmarks, which are based on predefined domains and human-labeled data, face limitations in addressing evaluation needs for emerging domains both …

Reinforced Information Retrieval

2025 · arXiv (Cornell University)

While retrieval techniques are widely used in practice, they still face significant challenges in cross-domain scenarios. Recently, generation-augmented methods have emerged as a promising solution to this problem. These methods enhance raw queries by incorporating …

ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval

2026

In this paper, we introduce ReasonEmbed, a novel text embedding model developed for reasoning-intensive document retrieval.Our work includes three key technical contributions.First, we propose ReMixer, a new data synthesis method that overcomes the triviality problem …