SOTAVerified

Temporal Relation Extraction

Temporal relation extraction systems aim to identify and classify the temporal relation between a pair of entities provided in a text. For instance, in the sentence "Bob sent a message to Alice while she was leaving her birthday party." one can infer that the actions "sent" and "leaving" entails a temporal relation that can be described as "simultaneous".

Papers

Showing 1120 of 88 papers

TitleStatusHype
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsCode5
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video UnderstandingCode3
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs0
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextCode3
VTimeLLM: Empower LLM to Grasp Video MomentsCode2
Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionCode4
TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News ArticlesCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic AlignmentCode4
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4o (CoT)Text Score59.2Unverified
2GPT-4oText Score54Unverified
3Qwen2-VL-72BText Score50.4Unverified
4LLaVA-OneVision-Qwen2-72BText Score48.4Unverified
5LLaVA-OneVision-Qwen2-7BText Score41.6Unverified
6Qwen2-VL-7BText Score40.2Unverified
7Gemini-1.5-Pro (CoT)Text Score37Unverified
8VideoLLaMA2-72BText Score36.2Unverified
9Gemini-1.5-ProText Score35.8Unverified
10Claude 3.5 SonnetText Score32.8Unverified