Papers Meeting Summarization
“Meeting Summarization” 태그가 달린 논문 58편 · 필터 해제
DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations
The rapid advancements in Large Language Models (LLMs) have enabled their adoption in real-world industrial scenarios for various natural language processing tasks. However, the high inference cost of large-scale LLMs ma…
Zero-shot GeneralizationReading ComprehensionMeeting SummarizationDomain AdaptationRe-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
Meeting summarization with large language models (LLMs) remains error-prone, often producing outputs with hallucinations, omissions, and irrelevancies. We present FRAME, a modular pipeline that reframes summarization as …
Meeting SummarizationFindings of the Third Automatic Minuting (AutoMin) Challenge
This paper presents the third edition of AutoMin, a shared task on automatic meeting summarization into minutes. In 2025, AutoMin featured the main task of minuting, the creation of structured meeting minutes, as well as…
Meeting SummarizationQuestion AnsweringBeamforming-LLM: What, Where and When Did I Miss?
We present Beamforming-LLM, a system that enables users to semantically recall conversations they may have missed in multi-speaker environments. The system combines spatial audio capture using a microphone array with ret…
Natural Language QueriesMeeting SummarizationRecent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges
The CHiME-7 and 8 distant speech recognition (DASR) challenges focus on multi-channel, generalizable, joint automatic speech recognition (ASR) and diarization of conversational speech. With participation from 9 teams sub…
Distant Speech RecognitionMeeting SummarizationSpeaker DiarizationSpeech SeparationQuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design
Long-video understanding has emerged as a crucial capability in real-world applications such as video surveillance, meeting summarization, educational lecture analysis, and sports broadcasting. However, it remains comput…
CPUGPUMeeting SummarizationVideo UnderstandingSummarizing Speech: A Comprehensive Survey
Speech summarization has become an essential tool for efficiently managing and accessing the growing volume of spoken and audiovisual content. However, despite its increasing importance, speech summarization remains loos…
Meeting Summarizationspeech-recognitionSpeech RecognitionSurvey+1You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations
Meeting summarization suffers from limited high-quality data, mainly due to privacy restrictions and expensive collection processes. We address this gap with FAME, a dataset of 500 meetings in English and 300 in German p…
Language ModelingLanguage ModellingLarge Language ModelMeeting SummarizationTell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
Meeting summarization is crucial in digital communication, but existing solutions struggle with salience identification to generate personalized, workable summaries, and context understanding to fully comprehend the meet…
InformativenessLanguage ModelingLanguage ModellingLarge Language Model+1CREAM: Comparison-Based Reference-Free ELO-Ranked Automatic Evaluation for Meeting Summarization
Large Language Models (LLMs) have spurred interest in automatic evaluation methods for summarization, offering a faster, more cost-effective alternative to human evaluation. However, existing methods often fall short whe…
Meeting SummarizationWhat's Wrong? Refining Meeting Summaries with LLM Feedback
Meeting summarization has become a critical task since digital encounters have become a common practice. Large language models (LLMs) show great potential in summarization, offering enhanced coherence and context underst…
HallucinationInformativenessMeeting SummarizationText GenerationLeveraging Discourse Structure for Extractive Meeting Summarization
We introduce an extractive summarization system for meetings that leverages discourse structure to better identify salient information from complex multi-party discussions. Using discourse graphs to represent semantic re…
Extractive SummarizationMeeting SummarizationNode ClassificationWhat's under the hood: Investigating Automatic Metrics on Meeting Summarization
Meeting summarization has become a critical task considering the increase in online interactions. While new techniques are introduced regularly, their evaluation uses metrics not designed to capture meeting-specific erro…
Meeting SummarizationQuery-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. When using Large Language Models (LLMs) for this tas…
Meeting SummarizationInvestigating Consistency in Query-Based Meeting Summarization: A Comparative Study of Different Embedding Methods
With more and more advanced data analysis techniques emerging, people will expect these techniques to be applied in more complex tasks and solve problems in our daily lives. Text Summarization is one of famous applicatio…
ArticlesMeeting SummarizationText SummarizationTiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
Large Language Models (LLMs) have demonstrated impressive capabilities to solve a wide range of tasks without being explicitly fine-tuned on task-specific datasets. However, deploying LLMs in the real world is not trivia…
Meeting SummarizationBuilding 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). For this purpose, we conduct an extensive evaluation and comparison of various closed-sou…
Meeting SummarizationTeaching Language Models to Hallucinate Less with Synthetic Tasks
Large language models (LLMs) frequently hallucinate on abstractive summarization tasks such as document-based question-answering, meeting summarization, and clinical report generation, even though all necessary informati…
Abstractive Text SummarizationHallucinationMeeting SummarizationQuestion Answering+1Minuteman: Machine and Human Joining Forces in Meeting Summarization
Many meetings require creating a meeting summary to keep everyone up to date. Creating minutes of sufficient quality is however very cognitively demanding. Although we currently possess capable models for both audio spee…
Meeting Summarizationspeech-recognitionSpeech RecognitionImproving 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. The main challenges for QFMS are the long input text length and sparse query-relevant informat…
Meeting Summarization