TriSum: Learning Summarization Ability from Large Language Models with
Structured Rationale

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale

15 March 2024

Pengcheng Jiang

Parminder Bhatia

Jimeng Sun

Papers citing "TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale"

7 / 7 papers shown

Title
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang Cao Xiao Minhao Jiang Parminder Bhatia Taha A. Kass-Hout Jimeng Sun Jiawei Han RALM AI4MH 43 4 0 06 Oct 2024
Factual Dialogue Summarization via Learning from Large Language Models Rongxin Zhu Jey Han Lau Jianzhong Qi HILM 46 1 0 20 Jun 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 68 79 0 05 Mar 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 206 499 0 03 May 2023
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 251 2,012 0 28 Jul 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 254 1,430 0 22 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017