Cover Image

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kirstein, Frederic, Kumar, Sonu, Ruas, Terry, Gipp, Bela
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

What's under the hood: Investigating Automatic Metrics on Meeting Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

What's Wrong? Refining Meeting Summaries with LLM Feedback
by: Kirstein, Frederic, et al.
Published: (2024)

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
by: Kirstein, Frederic, et al.
Published: (2024)

You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations
by: Kirstein, Frederic, et al.
Published: (2025)

How Large Language Models are Transforming Machine-Paraphrased Plagiarism
by: Wahle, Jan Philip, et al.
Published: (2022)

SPaRC: A Spatial Pathfinding Reasoning Challenge
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)

Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias
by: Gnewuch, Max Martin, et al.
Published: (2025)

Voting or Consensus? Decision-Making in Multi-Agent Debate
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)

Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym
by: Kaesberg, Lars Benedikt, et al.
Published: (2026)

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
by: Wahle, Jan Philip, et al.
Published: (2021)

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
by: Ko, Sungho, et al.
Published: (2024)

LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis
by: Hikal, Baraa, et al.
Published: (2026)

Leveraging Discourse Structure for Extractive Meeting Summarization
by: Rennard, Virgile, et al.
Published: (2024)

Paraphrase Types for Generation and Detection
by: Wahle, Jan Philip, et al.
Published: (2023)

Chain of Summaries: Summarization Through Iterative Questioning
by: Brach, William, et al.
Published: (2025)

Policies and Evaluation for Online Meeting Summarization
by: Schneider, Felix, et al.
Published: (2025)

Medical Question Summarization with Entity-driven Contrastive Learning
by: Lu, Wenpeng, et al.
Published: (2023)

MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
by: Chen, Ting-Chih, et al.
Published: (2024)

PreSumm: Predicting Summarization Performance Without Summarizing
by: Koniaev, Steven, et al.
Published: (2025)

Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation
by: Saba, Walid, et al.
Published: (2024)

MALLM: Multi-Agent Large Language Models Framework
by: Becker, Jonas, et al.
Published: (2025)

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback
by: Yun, Taewon, et al.
Published: (2025)

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
by: Jiang, Zhouyu, et al.
Published: (2024)

Action-Item-Driven Summarization of Long Meeting Transcripts
by: Golia, Logan, et al.
Published: (2023)

Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models
by: Zhang, Yanyue, et al.
Published: (2025)

Generating Query-Focused Summarization Datasets from Query-Free Summarization Datasets
by: Chali, Yllias, et al.
Published: (2026)

Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
by: Schmidt, Finn, et al.
Published: (2026)

Paraphrase Types Elicit Prompt Engineering Capabilities
by: Wahle, Jan Philip, et al.
Published: (2024)

Piecing Together Cross-Document Coreference Resolution Datasets: Systematic Dataset Analysis and Unification
by: Zhukova, Anastasia, et al.
Published: (2026)

Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph
by: Guan, Lingxiao, et al.
Published: (2025)

A BERT-Based Summarization approach for depression detection
by: Gavalan, Hossein Salahshoor, et al.
Published: (2024)

Automatic Summarization of Long Documents
by: Chhibbar, Naman, et al.
Published: (2024)

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation
by: Feng, Yichao, et al.
Published: (2025)

Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning
by: Ryu, Sangwon, et al.
Published: (2024)

ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in India
by: Nigam, Shubham Kumar, et al.
Published: (2025)

Code Summarization Beyond Function Level
by: Makharev, Vladimir, et al.
Published: (2025)

An Empirical Analysis of Diversity in Argument Summarization
by: van der Meer, Michiel, et al.
Published: (2024)

Correction with Backtracking Reduces Hallucination in Summarization
by: Liu, Zhenzhen, et al.
Published: (2023)