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Summarization

1,978 papers

Papers per year

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Papers

Parameter Efficient Instruction Tuning of LLMs for Financial Applications IJCAI 2024
Optimizing the role of human evaluation in LLM-based spoken document summarization systems INTERSPEECH 2024
Key-Element-Informed sLLM Tuning for Document Summarization INTERSPEECH 2024
An End-to-End Speech Summarization Using Large Language Model INTERSPEECH 2024
Unified Framework for Spoken Language Understanding and Summarization in Task-Based Human Dialog processing INTERSPEECH 2024
Extractive Summarization with Text Generator NAACL 2024
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles NAACL 2024
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation NAACL 2024
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models NAACL 2024
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization NAACL 2024
SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization NAACL 2024
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 2024
Fair Abstractive Summarization of Diverse Perspectives NAACL 2024
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization NAACL 2024
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content NAACL 2024
ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications NAACL 2024
How did we get here? Summarizing conversation dynamics NAACL 2024
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization NAACL 2024
Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output NAACL 2024
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation NAACL 2024
Rationale-based Opinion Summarization NAACL 2024
On Learning to Summarize with Large Language Models as References NAACL 2024
Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias NAACL 2024
SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window NAACL 2024