Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Daniil Sorokin, Iryna Gurevych |
| 2018 |
| arxiv 1804.08460 |
| Improving Retrieval-Based Question Answering with Deep Inference Models | George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti | 2018 | arxiv 1812.02971 |
|---|
| Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering | AJ Piergiovanni, Wei Li, Weicheng Kuo | 2022 | arxiv 2205.00949 |
|---|
| Long-Context Long-Form Question Answering for Legal Domain | Anagha Kulkarni, Parin Rajesh Jhaveri, Prasha Shrestha | 2026 | arxiv 2602.07190 |
|---|
| SRQA: Synthetic Reader for Factoid Question Answering | Jiuniu Wang, Wenjia Xu, Xingyu Fu | 2020 | arxiv 2009.01630 |
|---|
| Question answering: from partitions to Prolog | Balder D. ten Cate, Chung-chieh Shan | 2002 | arxiv cs/0209009 |
|---|
| Simple Baseline for Visual Question Answering | Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar | 2015 | arxiv 1512.02167 |
|---|
| A Method of Passage-Based Document Retrieval in Question Answering System | Man-Hung Jong, Chong-Han Ri, Hyok-Chol Choe | 2015 | arxiv 1512.05437 |
|---|
| Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System | Muhammad Zain Amin, Noman Nadeem | 2018 | arxiv 1809.02479 |
|---|
| Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering | Aryan Keluskar, Amrita Bhattacharjee, Huan Liu | 2024 | arxiv 2411.12395 |
|---|