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Found 7 papers, 0 papers with code
Are LLM-based Evaluators Confusing NLG Quality Criteria?
Some prior work has shown that LLMs perform well in NLG evaluation for different tasks.
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering
To solve this problem, we propose a novel method to convert single-turn datasets to multi-turn datasets.
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation
In the second stage, we distill the knowledge from the existing teacher adapters into the student adapter to help its inference.
From Beginner to Expert: Modeling Medical Knowledge into General LLMs
(3) Specifically for multi-choice questions in the medical domain, we propose a novel Verification-of-Choice approach for prompting engineering, which significantly enhances the reasoning ability of LLMs.
NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering
We present NAMER, an open-domain Chinese knowledge base question answering system based on a novel node-based framework that better grasps the structural mapping between questions and KB queries by aligning the nodes in a query with their corresponding mentions in question.
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks.
A State-transition Framework to Answer Complex Questions over Knowledge Base
Although natural language question answering over knowledge graphs have been studied in the literature, existing methods have some limitations in answering complex questions.
