Meeting Summarization
14 papers with code • 2 benchmarks • 6 datasets
Generating a summary from meeting transcriptions.
A survey for this task: Abstractive Meeting Summarization: A Survey
Benchmarks
These leaderboards are used to track progress in Meeting Summarization
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Datasets
QMSum
MeetingBank
Latest papers with no code
What's under the hood: Investigating Automatic Metrics on Meeting Summarization
Meeting summarization has become a critical task considering the increase in online interactions.
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
This work focuses on the task of query-based meeting summarization in which the summary of a context (meeting transcript) is generated in response to a specific query.
Investigating Consistency in Query-Based Meeting Summarization: A Comparative Study of Different Embedding Methods
One of applicable situation is meeting summarization, especially for important meeting that tend to be long, complicated, multi-topic and multi-person.
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
In this paper, we investigate whether smaller, compact LLMs are a good alternative to the comparatively Larger LLMs2 to address significant costs associated with utilizing LLMs in the real world.
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
This paper studies how to effectively build meeting summarization systems for real-world usage using large language models (LLMs).
Teaching Language Models to Hallucinate Less with Synthetic Tasks
We also find that optimizing the system message rather than the model weights can be critical; fine-tuning the entire model on the synthetic task can counterintuitively increase hallucination.
Minuteman: Machine and Human Joining Forces in Meeting Summarization
The tool provides a live transcript and a live meeting summary to the users, who can edit them in a collaborative manner, enabling correction of ASR errors and imperfect summary points in real time.
Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge
Query-Focused Meeting Summarization (QFMS) aims to generate a summary of a given meeting transcript conditioned upon a query.
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization
However, existing work has focused on training models on centralized data, neglecting real-world scenarios where meeting data are infeasible to collect centrally, due to their sensitive nature.
Learning to Rank Utterances for Query-Focused Meeting Summarization
Query-focused meeting summarization(QFMS) aims to generate a specific summary for the given query according to the meeting transcripts.
