Saved in:
| Main Authors: | Zhang, Haopeng, Yu, Philip S., Zhang, Jiawei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.11289 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
by: Yuan, Haohan, et al.
Published: (2024)
by: Yuan, Haohan, et al.
Published: (2024)
Survey of Query-based Text Summarization
by: Yu, Hang, et al.
Published: (2022)
by: Yu, Hang, et al.
Published: (2022)
Understanding LLM Reasoning for Abstractive Summarization
by: Yuan, Haohan, et al.
Published: (2025)
by: Yuan, Haohan, et al.
Published: (2025)
StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs
by: Yuan, Haohan, et al.
Published: (2025)
by: Yuan, Haohan, et al.
Published: (2025)
Hallucination Detection and Evaluation of Large Language Model
by: Zhang, Chenggong, et al.
Published: (2025)
by: Zhang, Chenggong, et al.
Published: (2025)
MMViR: A Multi-Modal and Multi-Granularity Representation for Long-range Video Understanding
by: Li, Zizhong, et al.
Published: (2026)
by: Li, Zizhong, et al.
Published: (2026)
Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation
by: Li, Zizhong, et al.
Published: (2025)
by: Li, Zizhong, et al.
Published: (2025)
FormosanBench: Benchmarking Low-Resource Austronesian Languages in the Era of Large Language Models
by: Lin, Kaiying Kevin, et al.
Published: (2025)
by: Lin, Kaiying Kevin, et al.
Published: (2025)
Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation
by: Li, Zizhong, et al.
Published: (2024)
by: Li, Zizhong, et al.
Published: (2024)
Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization
by: Hemamou, Léo, et al.
Published: (2024)
by: Hemamou, Léo, et al.
Published: (2024)
Wi-Chat: Large Language Model Powered Wi-Fi Sensing
by: Zhang, Haopeng, et al.
Published: (2025)
by: Zhang, Haopeng, et al.
Published: (2025)
MPCI-Bench: A Benchmark for Multimodal Pairwise Contextual Integrity Evaluation of Language Model Agents
by: Wang, Shouju, et al.
Published: (2026)
by: Wang, Shouju, et al.
Published: (2026)
A Survey of Text Watermarking in the Era of Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)
by: Liu, Aiwei, et al.
Published: (2023)
A Survey on Employing Large Language Models for Text-to-SQL Tasks
by: Shi, Liang, et al.
Published: (2024)
by: Shi, Liang, et al.
Published: (2024)
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
by: Zhang, Yu, et al.
Published: (2024)
by: Zhang, Yu, et al.
Published: (2024)
A Survey of Uncertainty Estimation Methods on Large Language Models
by: Xia, Zhiqiu, et al.
Published: (2025)
by: Xia, Zhiqiu, et al.
Published: (2025)
Enhanced Electronic Health Records Text Summarization Using Large Language Models
by: Madzime, Ruvarashe, et al.
Published: (2024)
by: Madzime, Ruvarashe, et al.
Published: (2024)
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
by: Afzal, Anum, et al.
Published: (2024)
by: Afzal, Anum, et al.
Published: (2024)
Improving Fairness of Large Language Models in Multi-document Summarization
by: Li, Haoyuan, et al.
Published: (2025)
by: Li, Haoyuan, et al.
Published: (2025)
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
by: Jiang, Pengcheng, et al.
Published: (2024)
by: Jiang, Pengcheng, et al.
Published: (2024)
XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates
by: Zhang, Haopeng, et al.
Published: (2023)
by: Zhang, Haopeng, et al.
Published: (2023)
Controllable Text Generation for Large Language Models: A Survey
by: Liang, Xun, et al.
Published: (2024)
by: Liang, Xun, et al.
Published: (2024)
Multilingual Large Language Models: A Systematic Survey
by: Zhu, Shaolin, et al.
Published: (2024)
by: Zhu, Shaolin, et al.
Published: (2024)
Large Language Models for the Summarization of Czech Documents: From History to the Present
by: Tran, Václav, et al.
Published: (2025)
by: Tran, Václav, et al.
Published: (2025)
Large Language Models for Planning: A Comprehensive and Systematic Survey
by: Cao, Pengfei, et al.
Published: (2025)
by: Cao, Pengfei, et al.
Published: (2025)
Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024)
by: Xu, Hanyi, et al.
Published: (2024)
Large Language Models for Education: A Survey and Outlook
by: Wang, Shen, et al.
Published: (2024)
by: Wang, Shen, et al.
Published: (2024)
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
by: Van Veen, Dave, et al.
Published: (2023)
by: Van Veen, Dave, et al.
Published: (2023)
Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
by: Chai, Yaping, et al.
Published: (2025)
by: Chai, Yaping, et al.
Published: (2025)
HERA: Improving Long Document Summarization using Large Language Models with Context Packaging and Reordering
by: Li, Taiji, et al.
Published: (2025)
by: Li, Taiji, et al.
Published: (2025)
A Systematic Study of Training-Free Methods for Trustworthy Large Language Models
by: Si, Wai Man, et al.
Published: (2026)
by: Si, Wai Man, et al.
Published: (2026)
Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)
by: Zheng, Yanxin, et al.
Published: (2024)
Large Language Models Meet NLP: A Survey
by: Qin, Libo, et al.
Published: (2024)
by: Qin, Libo, et al.
Published: (2024)
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models
by: Li, Chaozhuo, et al.
Published: (2025)
by: Li, Chaozhuo, et al.
Published: (2025)
When Text Embedding Meets Large Language Model: A Comprehensive Survey
by: Nie, Zhijie, et al.
Published: (2024)
by: Nie, Zhijie, et al.
Published: (2024)
From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models
by: Tong, Junlong, et al.
Published: (2026)
by: Tong, Junlong, et al.
Published: (2026)
Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
by: Jin, Bowen, et al.
Published: (2023)
by: Jin, Bowen, et al.
Published: (2023)
A Survey of AIOps in the Era of Large Language Models
by: Zhang, Lingzhe, et al.
Published: (2025)
by: Zhang, Lingzhe, et al.
Published: (2025)
A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
by: Xiang, Lu, et al.
Published: (2025)
by: Xiang, Lu, et al.
Published: (2025)
On Context Utilization in Summarization with Large Language Models
by: Ravaut, Mathieu, et al.
Published: (2023)
by: Ravaut, Mathieu, et al.
Published: (2023)
Similar Items
-
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
by: Yuan, Haohan, et al.
Published: (2024) -
Survey of Query-based Text Summarization
by: Yu, Hang, et al.
Published: (2022) -
Understanding LLM Reasoning for Abstractive Summarization
by: Yuan, Haohan, et al.
Published: (2025) -
StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs
by: Yuan, Haohan, et al.
Published: (2025) -
Hallucination Detection and Evaluation of Large Language Model
by: Zhang, Chenggong, et al.
Published: (2025)