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Found 6 papers, 0 papers with code
Have Seen Me Before? Automating Dataset Updates Towards Reliable and Timely Evaluation
The basic idea is to generate unseen and high-quality testing samples based on existing ones to mitigate leakage issues.
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue
Knowledge-grounded dialogue is a task of generating an informative response based on both the dialogue history and external knowledge source.
TSST: A Benchmark and Evaluation Models for Text Speech-Style Transfer
In summary, we present the TSST task, a new benchmark for style transfer and emphasizing human-oriented evaluation, exploring and advancing the performance of current LLMs.
MindLLM: Pre-training Lightweight Large Language Model from Scratch, Evaluations and Domain Applications
Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence.
$G^2$: Enhance Knowledge Grounded Dialogue via Ground Graph
Besides, a Ground Graph Aware Transformer ($G^2AT$) is proposed to enhance knowledge grounded response generation.
Ask to Understand: Question Generation for Multi-hop Question Answering
Specifically, we carefully design an end-to-end QG module on the basis of a classical QA module, which could help the model understand the context by asking inherently logical sub-questions, thus inheriting interpretability from the QD-based method and showing superior performance.
