Papers with LLM layers

2 papers
Probing LLMs for Joint Encoding of Linguistic Categories (2023.findings-emnlp)

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Challenge: Existing research suggests that a linguistic hierarchy emerges in large language models . little is known about how encodings of different linguistic phenomena interact within the models - and to what extent processing of linguistically-related categories relies on the same, shared model representations.
Approach: They propose a framework for testing the joint encoding of linguistic categories in large language models.
Outcome: The proposed framework shows that the same patterns hold across languages in multilingual LLMs.
MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language Models (2026.findings-acl)

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Challenge: Existing knowledge graph completion methods struggle to capture structural information in knowledge graphs (KGs) Existing approaches for KGC focus on learning representations of entities and relations through observed structural patterns.
Approach: They propose a multi-layer Aligned Knowledge Injection model that tightly integrates structured KG information into LLMs through multi-layered alignment.
Outcome: The proposed method outperforms state-of-the-art methods on benchmark datasets.

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