Summarization Programs: Interpretable Abstractive Summarization with
Neural Modular Trees

Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees

21 September 2022

Swarnadeep Saha

Papers citing "Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees"

19 / 19 papers shown

Title
Source Identification in Abstractive Summarization Yoshi Suhara Dimitris Alikaniotis 17 0 0 07 Feb 2024
ReGAL: Refactoring Programs to Discover Generalizable Abstractions Elias Stengel-Eskin Archiki Prasad Mohit Bansal 23 13 0 29 Jan 2024
Incremental Extractive Opinion Summarization Using Cover Trees Somnath Basu Roy Chowdhury Nicholas Monath Kumar Avinava Dubey Manzil Zaheer Andrew McCallum Amr Ahmed Snigdha Chaturvedi 26 3 0 16 Jan 2024
Leveraging Generative AI for Clinical Evidence Summarization Needs to Ensure Trustworthiness Gongbo Zhang Qiao Jin Denis Jered McInerney Yong Chen Fei Wang ... Mor Peleg Byron C. Wallace Zhiyong Lu Chunhua Weng Yifan Peng 28 18 0 19 Nov 2023
ADaPT: As-Needed Decomposition and Planning with Language Models Archiki Prasad Alexander Koller Mareike Hartmann Peter Clark Ashish Sabharwal Mohit Bansal Tushar Khot LM&Ro 26 75 0 08 Nov 2023
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation Swarnadeep Saha Omer Levy Asli Celikyilmaz Mohit Bansal Jason Weston Xian Li MoMe 16 70 0 23 Oct 2023
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation Yan Meng Liangming Pan Yixin Cao Min-Yen Kan LRM 14 11 0 10 Sep 2023
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents Simeng Sun Y. Liu Shuohang Wang Chenguang Zhu Mohit Iyyer RALM LRM ReLM 25 51 0 23 May 2023
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization Chenhui Shen Liying Cheng Xuan-Phi Nguyen Yang You Lidong Bing ELM ALM 24 63 0 22 May 2023
Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes Justin Reppert Ben Rachbach Charlie George Luke Stebbing Ju-Seung Byun Maggie Appleton Andreas Stuhlmuller ReLM LRM 31 16 0 04 Jan 2023
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation Swarnadeep Saha Xinyan Velocity Yu Mohit Bansal Ramakanth Pasunuru Asli Celikyilmaz ReLM LRM 17 10 0 16 Dec 2022
Best- $k$ Search Algorithm for Neural Text Generation Jiacheng Xu Caiming Xiong Silvio Savarese Yingbo Zhou 30 5 0 22 Nov 2022
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model Jacob Eisenstein D. Andor Bernd Bohnet Michael Collins David M. Mimno LRM 187 24 0 05 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,217 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 0 28 Jan 2022
Explaining Answers with Entailment Trees Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Zhengnan Xie Hannah Smith Leighanna Pipatanangkura Peter Clark ReLM FAtt LRM 237 184 0 17 Apr 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 254 1,428 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
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,508 0 10 Jun 2015