Summary of Vsa4vqa: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images, by Anna Penzkofer et al.
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Imagesby Anna Penzkofer,…
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Imagesby Anna Penzkofer,…
CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completionby Tyler Bikaun, Michael Stewart, Wei LiuFirst submitted to…
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQLby Yongjin Yang, Sihyeon Kim, SangMook Kim,…
A Survey on the Real Power of ChatGPTby Ming Liu, Ran Liu, Ye Zhu, Hua…
Suvach – Generated Hindi QA benchmarkby Vaishak Narayanan, Prabin Raj KP, Saifudheen NouphalFirst submitted to…
TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domainsby Yoonsik Kim, Moonbin Yim, Ka…
Multi-hop Question Answering over Knowledge Graphs using Large Language Modelsby Abir ChakrabortyFirst submitted to arxiv…
From Multiple-Choice to Extractive QA: A Case Study for English and Arabicby Teresa Lynn, Malik…
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilitiesby Kazuki Fujii, Taishi Nakamura, Mengsay…
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusionby Dongsheng Wang,…