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Abstractive Text Summarization Using Sequence-to-Sequence RNNs and
  Beyond
v1v2v3v4v5 (latest)

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

19 February 2016
Ramesh Nallapati
Bowen Zhou
Cicero Nogueira dos Santos
Çağlar Gülçehre
Bing Xiang
    AIMat
ArXiv (abs)PDFHTML

Papers citing "Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond"

50 / 692 papers shown
Title
Comparative Analysis of Abstractive Summarization Models for Clinical Radiology Reports
Comparative Analysis of Abstractive Summarization Models for Clinical Radiology Reports
Anindita Bhattacharya
Tohida Rehman
Debarshi Kumar Sanyal
S. Chattopadhyay
13
0
0
19 Jun 2025
Evaluation Should Not Ignore Variation: On the Impact of Reference Set Choice on Summarization Metrics
Evaluation Should Not Ignore Variation: On the Impact of Reference Set Choice on Summarization Metrics
Silvia Casola
Yang Liu
Siyao Peng
Oliver Kraus
Albert Gatt
Barbara Plank
23
0
0
17 Jun 2025
GenerationPrograms: Fine-grained Attribution with Executable Programs
GenerationPrograms: Fine-grained Attribution with Executable Programs
David Wan
Eran Hirsch
Elias Stengel-Eskin
Ido Dagan
Mohit Bansal
21
0
0
17 Jun 2025
S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models
S4^44C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models
Tao He
Guang Huang
Yu Yang
Tianshi Xu
Sicheng Zhao
Guiguang Ding
Pengyang Wang
Feng Tian
LRM
26
0
0
17 Jun 2025
Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation
Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation
Yuanyuan Lei
Ruihong Huang
28
0
0
15 Jun 2025
SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
Ziyi Zhang
Ziheng Jiang
Chengquan Jiang
Menghan Yu
Size Zheng
H. Lin
Henry Hoffmann
Xin Liu
17
0
0
12 Jun 2025
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
Kyeonghyun Kim
Jinhee Jang
Juhwan Choi
Yoonji Lee
Kyohoon Jin
Youngbin Kim
16
0
0
09 Jun 2025
Hybrid Extractive Abstractive Summarization for Multilingual Sentiment Analysis
Hybrid Extractive Abstractive Summarization for Multilingual Sentiment Analysis
Mikhail Krasitskii
Grigori Sidorov
Olga Kolesnikova
Liliana Chanona Hernandez
Alexander Gelbukh
13
0
0
07 Jun 2025
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs
Jaydip Sen
Saptarshi Sengupta
S. Dasgupta
20
0
0
03 Jun 2025
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
Hyangsuk Min
Yuho Lee
Minjeong Ban
Jiaqi Deng
Nicole Hee-Yeon Kim
Taewon Yun
Hang Su
Jason (Jinglun) Cai
Hwanjun Song
ELM
25
0
0
31 May 2025
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
Longze Chen
Renke Shan
Huiming Wang
Lu Wang
Ziqiang Liu
Run Luo
Jiawei Wang
Hamid Alinejad-Rokny
Min Yang
27
0
0
30 May 2025
TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
Hyundong Jin
Sicheol Sung
Shinwoo Park
SeungYeop Baik
Yo-Sub Han
20
0
0
30 May 2025
Beyond Multiple Choice: Evaluating Steering Vectors for Adaptive Free-Form Summarization
Beyond Multiple Choice: Evaluating Steering Vectors for Adaptive Free-Form Summarization
Joschka Braun
Carsten Eickhoff
Seyed Ali Bahrainian
LLMSV
23
0
0
30 May 2025
Unsupervised Transcript-assisted Video Summarization and Highlight Detection
Unsupervised Transcript-assisted Video Summarization and Highlight Detection
Spyros Barbakos
Charalampos Antoniadis
Gerasimos Potamianos
Gianluca Setti
OffRLAI4TS
127
0
0
29 May 2025
Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
Tong Bao
Heng Zhang
Chengzhi Zhang
210
3
0
20 May 2025
A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource Setting
A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource Setting
Lhuqita Fazry
VLM
218
0
0
11 May 2025
Sentence Embeddings as an intermediate target in end-to-end summarisation
Sentence Embeddings as an intermediate target in end-to-end summarisation
Maciej Zembrzuski
Saad Mahamood
67
0
0
06 May 2025
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
Bradley McDanel
Shanghang Zhang
Y. Hu
Zining Liu
MoE
441
0
0
02 May 2025
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions
Yiming Du
Wenyu Huang
Danna Zheng
Zhaowei Wang
Sébastien Montella
Mirella Lapata
Kam-Fai Wong
Jeff Z. Pan
KELMMU
235
5
0
01 May 2025
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan
Chen Henry Wu
Charles Ding
Aditi Raghunathan
121
0
0
21 Apr 2025
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
Grace Byun
Jinho D. Choi
EGVM
85
0
0
18 Apr 2025
KeepKV: Eliminating Output Perturbation in KV Cache Compression for Efficient LLMs Inference
KeepKV: Eliminating Output Perturbation in KV Cache Compression for Efficient LLMs Inference
Yuxuan Tian
Zihan Wang
Yebo Peng
Aomufei Yuan
Zhaoxiang Wang
Bairen Yi
Xin Liu
Yong Cui
Tong Yang
75
0
0
14 Apr 2025
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
Avinash Kumar
Shashank Nag
Jason Clemons
L. John
Poulami Das
107
0
0
14 Apr 2025
DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding
DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding
Hossein Entezari Zarch
Lei Gao
Chaoyi Jiang
Murali Annavaram
LRM
81
0
0
08 Apr 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
Hao Mark Chen
S. Hu
Wayne Luk
Timothy M. Hospedales
Hongxiang Fan
MoMe
119
1
0
16 Mar 2025
Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
Jiajun Li
Yixing Xu
Haiduo Huang
Xuanwu Yin
D. Li
Edith C. -H. Ngai
E. Barsoum
119
0
0
13 Mar 2025
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
Zhibin Lan
Liqiang Niu
Fandong Meng
Jie Zhou
Jinsong Su
VLM
109
0
0
04 Mar 2025
FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation
FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation
Andrew Kiruluta
Eric Lundy
Andreas Lemos
AI4TS
125
0
0
04 Mar 2025
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Yuhui Li
Fangyun Wei
Chao Zhang
Hongyang R. Zhang
236
18
0
03 Mar 2025
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
Yiheng Yang
Yujie Wang
Chi Ma
Lei Yu
Emmanuele Chersoni
Chu-Ren Huang
146
0
0
26 Feb 2025
Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets
Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets
Tohida Rehman
Soumabha Ghosh
Kuntal Das
Souvik Bhattacharjee
Debarshi Kumar Sanyal
S. Chattopadhyay
121
0
0
26 Feb 2025
Where Are We? Evaluating LLM Performance on African Languages
Where Are We? Evaluating LLM Performance on African Languages
Ife Adebara
Hawau Olamide Toyin
Nahom Tesfu Ghebremichael
AbdelRahim Elmadany
Muhammad Abdul-Mageed
134
2
0
26 Feb 2025
CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter
CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter
Yepeng Weng
Dianwen Mei
Huishi Qiu
Xujie Chen
Li Liu
Jiang Tian
Zhongchao Shi
176
0
0
24 Feb 2025
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
Yingjian Chen
Haoran Liu
Yinhong Liu
Rui Yang
Han Yuan
...
Pengyuan Zhou
Peng Yuan Zhou
Qingyu Chen
James Caverlee
Irene Li
HILM
133
0
0
23 Feb 2025
OrderSum: Semantic Sentence Ordering for Extractive Summarization
OrderSum: Semantic Sentence Ordering for Extractive Summarization
Taewan Kwon
Sangyong Lee
53
0
0
22 Feb 2025
On Synthesizing Data for Context Attribution in Question Answering
On Synthesizing Data for Context Attribution in Question Answering
Gorjan Radevski
Kiril Gashteovski
Shahbaz Syed
Christopher Malon
Sebastien Nicolas
...
Masafumi Enomoto
Kunihiro Takeoka
Masafumi Oyamada
Goran Glavaš
Carolin (Haas) Lawrence
43
0
0
21 Feb 2025
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization
Mst. Fahmida Sultana Naznin
Adnan Ibney Faruq
Mostafa Rifat Tazwar
Md Jobayer
Md. Mehedi Hasan Shawon
Md Rakibul Hasan
MedIm
66
0
0
21 Feb 2025
C2T: A Classifier-Based Tree Construction Method in Speculative Decoding
C2T: A Classifier-Based Tree Construction Method in Speculative Decoding
Feiye Huo
Jianchao Tan
Kai Zhang
Xunliang Cai
Shengli Sun
81
1
0
20 Feb 2025
DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services
DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services
Ting Sun
Penghan Wang
Fan Lai
92
0
0
17 Feb 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
S. Poddar
Paramita Koley
Janardan Misra
Niloy Ganguly
Saptarshi Ghosh
Saptarshi Ghosh
147
0
0
08 Feb 2025
BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation
BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation
Omnilingual MT Team
Pierre Yves Andrews
Mikel Artetxe
Mariano Coria Meglioli
Marta R. Costa-jussá
...
Eduardo Sánchez
Ioannis Tsiamas
Arina Turkatenko
Albert Ventayol-Boada
Shireen Yates
176
0
0
06 Feb 2025
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
Nadav Timor
Jonathan Mamou
Daniel Korat
Moshe Berchansky
Oren Pereg
Gaurav Jain
Roy Schwartz
Moshe Wasserblat
189
3
0
31 Jan 2025
Learning to Summarize from LLM-generated Feedback
Learning to Summarize from LLM-generated Feedback
Hwanjun Song
Taewon Yun
Yuho Lee
Jihwan Oh
Gihun Lee
Jason (Jinglun) Cai
Hang Su
225
10
0
28 Jan 2025
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
Md Osama
Ashim Dey
Kawsar Ahmed
Muhammad Ashad Kabir
150
0
0
03 Jan 2025
A review of faithfulness metrics for hallucination assessment in Large Language Models
Ben Malin
Tatiana Kalganova
Nikoloas Boulgouris
HILM
136
2
0
03 Jan 2025
Unifying KV Cache Compression for Large Language Models with LeanKV
Unifying KV Cache Compression for Large Language Models with LeanKV
Yanqi Zhang
Yuwei Hu
Runyuan Zhao
John C. S. Lui
Haibo Chen
MQ
286
7
0
04 Dec 2024
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
Hongpeng Jin
Yanzhao Wu
157
5
0
05 Nov 2024
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph
Maitreya Prafulla Chitale
Uday Bindal
Rajakrishnan Rajkumar
Rahul Mishra
106
1
0
18 Oct 2024
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Vithursan Thangarasa
Ganesh Venkatesh
Mike Lasby
Nish Sinnadurai
Sean Lie
SyDa
175
2
0
13 Oct 2024
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
Abhijnan Nath
Changsoo Jung
Ethan Seefried
Nikhil Krishnaswamy
487
4
0
11 Oct 2024
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