arXiv:2010.05327
공식 코드 · Papers with Code
InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction
원문 초록
Identifying informative tweets is an important step when building information extraction systems based on social media. WNUT-2020 Task 2 was organised to recognise informative tweets from noise tweets. In this paper, we present our approach to tackle the task objective using transformers. Overall, our approach achieves 10th place in the final rankings scoring 0.9004 F1 score for the test set.
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Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs
1$^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge
Feature Fusion Revisited: Multimodal CTR Prediction for MMCTR Challenge
Quadratic Interest Network for Multimodal Click-Through Rate Prediction
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
토론
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