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Found 6 papers, 4 papers with code
MindMerger: Efficient Boosting LLM Reasoning in non-English Languages
In order to better utilize the minds of reasoning and language understanding in LLMs, we propose a new method, namely MindMerger, which merges LLMs with the external language understanding capabilities from multilingual models to boost the multilingual reasoning performance.
Enhancing In-Context Learning with Answer Feedback for Multi-Span Question Answering
Previous researches found that in-context learning is an effective approach to exploiting LLM, by using a few task-related labeled data as demonstration examples to construct a few-shot prompt for answering new questions.
Clues Before Answers: Generation-Enhanced Multiple-Choice QA
A trending paradigm for multiple-choice question answering (MCQA) is using a text-to-text framework.
Ranked #10 on
Question Answering
on OpenBookQA
When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions
Scenario-based question answering (SQA) requires retrieving and reading paragraphs from a large corpus to answer a question which is contextualized by a long scenario description.
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
A prominent application of knowledge graph (KG) is document enrichment.
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
Scenario-based question answering (SQA) has attracted increasing research attention.
