Cover Image

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parmar, Mihir, Deilamsalehy, Hanieh, Dernoncourt, Franck, Yoon, Seunghyun, Rossi, Ryan A., Bui, Trung
Format:	Preprint
Published:	2024
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

CORG: Generating Answers from Complex, Interrelated Contexts
by: Lee, Hyunji, et al.
Published: (2025)

NoLiMa: Long-Context Evaluation Beyond Literal Matching
by: Modarressi, Ali, et al.
Published: (2025)

Steering MoE LLMs via Expert (De)Activation
by: Fayyaz, Mohsen, et al.
Published: (2025)

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
by: Nguyen, Minh, et al.
Published: (2024)

StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos
by: Lee, Daeun, et al.
Published: (2025)

Taipan: Efficient and Expressive State Space Language Models with Selective Attention
by: Van Nguyen, Chien, et al.
Published: (2024)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)

A Multi-LLM Debiasing Framework
by: Owens, Deonna M., et al.
Published: (2024)

Drift No More? Context Equilibria in Multi-Turn LLM Interactions
by: Dongre, Vardhan, et al.
Published: (2025)

Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact
by: Lee, Hyunji, et al.
Published: (2025)

Retrieval Augmented Generation for Domain-specific Question Answering
by: Sharma, Sanat, et al.
Published: (2024)

ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
by: Goswami, Kanika, et al.
Published: (2025)

PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
by: Goswami, Kanika, et al.
Published: (2025)

MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos
by: Zang, Yuan, et al.
Published: (2025)

When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
by: Dongre, Vardhan, et al.
Published: (2026)

Scaling Up Video Summarization Pretraining with Large Language Models
by: Argaw, Dawit Mureja, et al.
Published: (2024)

mSCoRe: a $M$ultilingual and Scalable Benchmark for $S$kill-based $Co$mmonsense $Re$asoning
by: Ngo, Nghia Trung, et al.
Published: (2025)

Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
by: Park, Seongmin, et al.
Published: (2024)

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

Fair Summarization: Bridging Quality and Diversity in Extractive Summaries
by: Nezhad, Sina Bagheri, et al.
Published: (2024)

Structured Uncertainty guided Clarification for LLM Agents
by: Suri, Manan, et al.
Published: (2025)

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
by: Kim, Hyunjae, et al.
Published: (2024)

State Space Models for Extractive Summarization in Low Resource Scenarios
by: Khayi, Nisrine Ait
Published: (2025)

Multi-LLM Text Summarization
by: Fang, Jiangnan, et al.
Published: (2024)

A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
by: Tao, Dehao, et al.
Published: (2021)

SlimLM: An Efficient Small Language Model for On-Device Document Assistance
by: Pham, Thang M., et al.
Published: (2024)

Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization
by: Sahu, Gaurav, et al.
Published: (2023)

GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization
by: Bugueño, Margarita, et al.
Published: (2024)

Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
by: Ngo, Nghia Trung, et al.
Published: (2024)

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck
by: Pham, Thang M., et al.
Published: (2024)

Cluster-R1: Large Reasoning Models Are Instruction-following Clustering Agents
by: Qing, Peijun, et al.
Published: (2026)

Iterative Critique-Refine Framework for Enhancing LLM Personalization
by: Maram, Durga Prasad, et al.
Published: (2025)

Blind to the Human Touch: Overlap Bias in LLM-Based Summary Evaluation
by: Fang, Jiangnan, et al.
Published: (2026)

Reasoning-Based Personalized Generation for Users with Sparse Data
by: Ni, Bo, et al.
Published: (2026)

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
by: Hwang, Taeho, et al.
Published: (2024)

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
by: Bumb, Mayank, et al.
Published: (2025)

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
by: Yang, Nakyeong, et al.
Published: (2025)

Design of reliable technology valuation model with calibrated machine learning of patent indicators
by: Lee, Seunghyun, et al.
Published: (2024)

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

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
by: Tyagi, Nemika, et al.
Published: (2024)