Papers with Summaries
Unstructured Evidence Attribution for Long Context Query Focused Summarization (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing systems struggle to copy and properly cite unstructured evidence, which also tends to be “lost-in-the-middle”. |
| Approach: | They propose to extract unstructured evidence spans to improve the trustworthiness of large language models by citing unstructure . they propose to use this dataset as a training supervision for unstructure-based evidence summarization. |
| Outcome: | The proposed pipeline generates more relevant and factually consistent evidence than baselines with no fine-tuning and fixed granularity evidence. |
Creating a Data Set of Abstractive Summaries of Turn-labeled Spoken Human-Computer Conversations (2022.lrec-1)
Copied to clipboard
| Challenge: | Digital recorded written and spoken dialogues are becoming more available due to the growing popularity of online messenger services and chatbots. |
| Approach: | They propose to use Dutch spoken human-computer conversations, an annotation layer of turn labels, and conversational abstractive summaries of user answers to build a conversational agent. |
| Outcome: | The proposed system can be integrated into a conversational agent. |