Summarization is (Almost) Dead

Summarization is (Almost) Dead

18 September 2023

Xiaojun Wan

Papers citing "Summarization is (Almost) Dead"

8 / 8 papers shown

Title
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Xinxin You Xien Liu Qixin Sun Huan Zhang Kaiyin Zhou Shaohui Liu Guoping Hu Shijin Wang Si Liu Ji Wu 77 0 0 13 Feb 2025
Opportunities and Challenges of Generative-AI in Finance Akshar Prabhu Desai Ganesh Satish Mallya Mohammad Luqman Tejasvi Ravi Nithya Kota Pranjul Yadav AIFin 23 2 0 21 Oct 2024
Automated Review Generation Method Based on Large Language Models Shican Wu Xiao Ma Dehui Luo Lulu Li Xiangcheng Shi ... Ran Luo Chunlei Pei Zhijian Zhao Zhi-Jian Zhao Jinlong Gong 63 0 0 30 Jul 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods Hanlei Jin Yang Zhang Dan Meng Jun Wang Jinghua Tan 51 76 0 05 Mar 2024
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Unsupervised Multi-Granularity Summarization Ming Zhong Yang Liu Suyu Ge Yuning Mao Yizhu Jiao Xingxing Zhang Yichong Xu Chenguang Zhu Michael Zeng Jiawei Han 58 8 0 29 Jan 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 196 1,451 0 02 Sep 2021
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 167 3,357 0 10 Jun 2015