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Found 5 papers, 2 papers with code
Evaluation of Retrieval-Augmented Generation: A Survey
We consequently enhanced an extensive survey and proposed an analysis framework for benchmarks of RAG systems, RAGR (Retrieval, Generation, Additional Requirement), designed to systematically analyze RAG benchmarks by focusing on measurable outputs and established truths.
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
To this end, in this paper, we propose a novel contrastive pre-training approach for mathematical question representations, namely QuesCo, which attempts to bring questions with more similar purposes closer.
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing
To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises.
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View
Recent studies have consistently given positive hints that morphology is helpful in enriching word embeddings.
Exploiting Cognitive Structure for Adaptive Learning
Although it is well known that modeling the cognitive structure including knowledge level of learners and knowledge structure (e. g., the prerequisite relations) of learning items is important for learning path recommendation, existing methods for adaptive learning often separately focus on either knowledge levels of learners or knowledge structure of learning items.
