Papers with ranking system
Graph Pattern Entity Ranking Model for Knowledge Graph Completion (N19-1)
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| Challenge: | Knowledge graph embedding models are so called-black box and are hard to interpret. |
| Approach: | They propose to use graph patterns to construct an entity ranking system for each graph pattern and evaluate them using a ranking system. |
| Outcome: | The proposed model outperforms other state-of-the-art models on standard metrics such as HITS@n and MRR. |
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking (2023.findings-emnlp)
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| Challenge: | Recent studies show that large language models (LLMs) rank documents based on the probability of generating the query given the content of a document. |
| Approach: | They propose a ranking system that integrates LLMs with a hybrid zero-shot retriever. |
| Outcome: | The proposed system shows exceptional ranking in both zero-shot and few-shot scenarios. |
Localizing Malicious Outputs from CodeLLM (2025.findings-emnlp)
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| Challenge: | Using FreqRank, we localize malicious components in outputs for triggered inputs and their corresponding backdoor triggers. |
| Approach: | They propose a mutation-based defense to localize malicious components in LLM outputs and their corresponding backdoor triggers. |
| Outcome: | The proposed defense has an average attack success rate (ASR) of 86.6% and can localize the backdoor triggers in 98% of cases. |