Revisiting the Task of Scoring Open IE Relations
Code (0)
등록된 구현이 없습니다.
Tasks
Knowledge Base CompletionLanguage ModelingLanguage ModellingOpen Information ExtractionSimilar Papers 제목 키워드 기반
OpenAnimals: Revisiting Person Re-Identification for Animals Towards Better Generalization
This paper addresses the challenge of animal re-identification, an emerging field that shares similarities with person re-identification but presents unique complexities due to the diverse species, environments and poses…
Person Re-IdentificationRevisiting Simple Neural Networks for Learning Representations of Knowledge Graphs
We address the problem of learning vector representations for entities and relations in Knowledge Graphs (KGs) for Knowledge Base Completion (KBC). This problem has received significant attention in the past few years an…
Knowledge Base CompletionKnowledge GraphsRevisiting NLI: Towards Cost-Effective and Human-Aligned Metrics for Evaluating LLMs in Question Answering
Evaluating answers from state-of-the-art large language models (LLMs) is challenging: lexical metrics miss semantic nuances, whereas "LLM-as-Judge" scoring is computationally expensive. We re-evaluate a lightweight alter…
Natural Language InferenceQuestion AnsweringRevisiting Logit Distributions for Reliable Out-of-Distribution Detection
Out-of-distribution (OOD) detection is critical for ensuring the reliability of deep learning models in open-world applications. While post-hoc methods are favored for their efficiency and ease of deployment, existing ap…
Out-of-Distribution DetectionMetrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics
In text summarization, evaluating the efficacy of automatic metrics without human judgments has become recently popular. One exemplar work concludes that automatic metrics strongly disagree when ranking high-scoring summ…
Text Summarization