activity
20202026
most citedAccurate Learning of Graph Representations with Graph Multiset Pooling

68 citations · 228 across the 46 of their papers we have counts for

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Showing cs.IRShow all

6 papers · 1 filter

cs.IR2025

Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval

Sangwoo Park, Jinheon Baek, Soyeong Jeong +1

Scientific paper retrieval, particularly framed as document-to-document retrieval, aims to identify relevant papers in response to a long-form query paper, rather than a short quer…

cs.IR2024

Efficient Long Context Language Model Retrieval with Compression

Minju Seo, Jinheon Baek, Seongyun Lee +1

Long Context Language Models (LCLMs) have emerged as a new paradigm to perform Information Retrieval (IR), which enables the direct ingestion and retrieval of information by proces…

cs.IR2023★ 1 cited

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan +2

Large Language Models (LLMs) excel at tackling various natural language tasks. However, due to the significant costs involved in re-training or fine-tuning them, they remain largel…

cs.IR2023★ 2 cited

Direct Fact Retrieval from Knowledge Graphs without Entity Linking

Jinheon Baek, Alham Fikri Aji, Jens Lehmann +1

There has been a surge of interest in utilizing Knowledge Graphs (KGs) for various natural language processing/understanding tasks. The conventional mechanism to retrieve facts in…

cs.IR2022★ 1 cited

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation

Soyeong Jeong, Jinheon Baek, Sukmin Cho +2

Dense retrieval models, which aim at retrieving the most relevant document for an input query on a dense representation space, have gained considerable attention for their remarkab…

cs.IR2021★ 1 cited

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation

Soyeong Jeong, Jinheon Baek, ChaeHun Park +1

One of the challenges in information retrieval (IR) is the vocabulary mismatch problem, which happens when the terms between queries and documents are lexically different but seman…