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SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive
  Summarization

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

27 November 2019
Bogdan Gliwa
Iwona Mochol
M. Biesek
A. Wawer
ArXivPDFHTML

Papers citing "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization"

50 / 370 papers shown
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Multi-Token Prediction Needs Registers
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N. Komodakis
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Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow
Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow
Ziyu Zhou
Yihang Wu
J. Yang
Zhan Xiao
Rongjun Li
LRM
29
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13 May 2025
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
HamidReza Imani
Jiaxin Peng
Peiman Mohseni
Abdolah Amirany
Tarek A. El-Ghazawi
MoE
31
0
0
10 May 2025
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Zehao Fan
Garrett Gagnon
Zhenyu Liu
Liu Liu
29
0
0
09 May 2025
Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation
Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation
Junyu Ma
Tianqing Fang
Z. Zhang
Hongming Zhang
Haitao Mi
Dong Yu
ReLM
RALM
LRM
139
0
0
06 May 2025
Emotions in the Loop: A Survey of Affective Computing for Emotional Support
Emotions in the Loop: A Survey of Affective Computing for Emotional Support
Karishma Hegde
Hemadri Jayalath
27
0
0
02 May 2025
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts
Qingyue Wang
Qi Pang
Xixun Lin
Shuai Wang
Daoyuan Wu
MoE
59
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0
24 Apr 2025
Alleviating the Fear of Losing Alignment in LLM Fine-tuning
Alleviating the Fear of Losing Alignment in LLM Fine-tuning
Kang Yang
Guanhong Tao
X. Chen
Jun Xu
33
0
0
13 Apr 2025
From Speech to Summary: A Comprehensive Survey of Speech Summarization
From Speech to Summary: A Comprehensive Survey of Speech Summarization
Fabian Retkowski
Maike Züfle
Andreas Sudmann
Dinah Pfau
Jan Niehues
Alexander Waibel
44
0
0
10 Apr 2025
PreSumm: Predicting Summarization Performance Without Summarizing
PreSumm: Predicting Summarization Performance Without Summarizing
Steven Koniaev
Ori Ernst
Jackie Chi Kit Cheung
31
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0
07 Apr 2025
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs
Ankush Raut
Xiaofeng Zhu
Maria Leonor Pacheco
30
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0
07 Apr 2025
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Guanhua Chen
Yutong Yao
Ci-Jun Gao
Lidia S. Chao
Feng Wan
Derek F. Wong
39
0
0
30 Mar 2025
SWI: Speaking with Intent in Large Language Models
SWI: Speaking with Intent in Large Language Models
Yuwei Yin
EunJeong Hwang
Giuseppe Carenini
LRM
46
0
0
27 Mar 2025
Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer
Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer
Alexandra DeLucia
Mark Dredze
47
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GPU-Accelerated Motion Planning of an Underactuated Forestry Crane in Cluttered Environments
GPU-Accelerated Motion Planning of an Underactuated Forestry Crane in Cluttered Environments
M. Vu
Gerald Ebmer
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Marc-Philip Ecker
Giang Nguyen
Tobias Glueck
69
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0
18 Mar 2025
KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse
KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse
Huan Yang
Renji Zhang
Mingzhe Huang
Weijun Wang
Yin Tang
Yuanchun Li
Yunxin Liu
Deyu Zhang
42
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0
17 Mar 2025
OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
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Ivan Kartáč
Mateusz Lango
Ondrej Dusek
ELM
49
1
0
14 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk
Nico Daheim
Clara Meister
Thomas Möllenhoff
Iryna Gurevych
53
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07 Mar 2025
Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving
Qihui Zhou
Peiqi Yin
Pengfei Zuo
James Cheng
CLL
40
1
0
01 Mar 2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
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Sheng Di
Yao Xin
Benben Liu
50
1
0
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Constraining Sequential Model Editing with Editing Anchor Compression
Hao-Xiang Xu
Jun-Yu Ma
Zhen-Hua Ling
Ningyu Zhang
Jia-Chen Gu
KELM
47
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25 Feb 2025
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
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Zi Long
Xianghua Fu
Yin Chen
67
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Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
Yen-Ju Lu
Ting-Yao Hu
H. Koppula
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Jen-Hao Rick Chang
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Raviteja Vemulapalli
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KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
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Jingbo Yang
Bairu Hou
Wei Wei
Yujia Bao
Shiyu Chang
VLM
41
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21 Feb 2025
Neural Attention Search
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Difan Deng
Marius Lindauer
93
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SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
Song Duong
Florian Le Bronnec
Alexandre Allauzen
Vincent Guigue
Alberto Lumbreras
Laure Soulier
Patrick Gallinari
HILM
50
0
0
20 Feb 2025
D.Va: Validate Your Demonstration First Before You Use It
D.Va: Validate Your Demonstration First Before You Use It
Qi Zhang
Zhiqing Xiao
Ruixuan Xiao
Lirong Gao
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49
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DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing
DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing
Yi Wang
Fenghua Weng
Songlin Yang
Zhan Qin
Minlie Huang
Wenjie Wang
KELM
AAML
53
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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
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Niloy Ganguly
Saptarshi Ghosh
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61
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0
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Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective
Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective
Yuan Feng
Junlin Lv
Y. Cao
Xike Xie
S.Kevin Zhou
76
2
0
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Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
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Yuan Feng
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Yukun Cao
Xike Xie
S. K. Zhou
VLM
58
27
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Irrational Complex Rotations Empower Low-bit Optimizers
Irrational Complex Rotations Empower Low-bit Optimizers
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43
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Merging Feed-Forward Sublayers for Compressed Transformers
Merging Feed-Forward Sublayers for Compressed Transformers
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AI4CE
50
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Learning to Verify Summary Facts with Fine-Grained LLM Feedback
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J. Choi
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Taewon Yun
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SyDa
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71
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CEGI: Measuring the trade-off between efficiency and carbon emissions
  for SLMs and VLMs
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AMXFP4: Taming Activation Outliers with Asymmetric Microscaling
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Michael Backes
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54
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49
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Systematic Exploration of Dialogue Summarization Approaches for
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DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in
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