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Found 4 papers, 3 papers with code
Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks
We study existing approaches to leverage off-the-shelf Natural Language Inference (NLI) models for the evaluation of summary faithfulness and argue that these are sub-optimal due to the granularity level considered for premises and hypotheses.
DiffYOLO: Object Detection for Anti-Noise via YOLO and Diffusion Models
Object detection models represented by YOLO series have been widely used and have achieved great results on the high quality datasets, but not all the working conditions are ideal.
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation
Additionally, based on the same intuition, we propose a 2-Step method, which takes both conversation and summary as input to simulate human annotation process.
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models
To this end, we propose a novel method called CoS (Chain-of-Symbol Prompting) that represents the complex environments with condensed symbolic spatial representations during the chained intermediate thinking steps.
