Question Rewriting
15 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Question Rewriting
CANARD
Most implemented papers
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
tttttttty/alcqa
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Complex knowledge base question answering can be achieved by converting questions into sequences of predefined actions.
Instruction Tuned Models are Quick Learners
srsawant34/efficient_instruction_learning
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In the MTL setting, an instruction tuned model trained on only 6% of downstream training data achieve SOTA, while using 100% of the training data results in a 3. 69% points improvement (ROUGE-L 74. 68) over the previous SOTA.
VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models
The VNHSGE (VietNamese High School Graduation Examination) dataset, developed exclusively for evaluating large language models (LLMs), is introduced in this article.
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
In conversational question answering (CQA), the task of question rewriting~(QR) in context aims to rewrite a context-dependent question into an equivalent self-contained question that gives the same answer.
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling
We also prove that our model logically and incrementally increases the complexity of questions, and the generated multi-hop questions are also beneficial for training question answering models.
