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SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive
  Summarization
v1v2 (latest)

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

27 November 2019
Bogdan Gliwa
Iwona Mochol
M. Biesek
A. Wawer
ArXiv (abs)PDFHTML

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

50 / 383 papers shown
Title
COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation
COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation
Raghvendra Kumar
S. A. Mohammed Salman
Aryan Sahu
Tridib Nandi
Pragathi Y. P.
S. Saha
Jose G. Moreno
19
0
0
18 Jun 2025
Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
Sooyung Choi
Jaehyeok Lee
Xiaoyuan Yi
Jing Yao
Xing Xie
JinYeong Bak
23
0
0
06 Jun 2025
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets
Lei Hsiung
Tianyu Pang
Yung-Chen Tang
Linyue Song
Tsung-Yi Ho
Pin-Yu Chen
Yaoqing Yang
111
0
0
05 Jun 2025
Controlling Summarization Length Through EOS Token Weighting
Zeno Belligoli
Emmanouil Stergiadis
Eran Fainman
Ilya Gusev
90
0
0
05 Jun 2025
SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
Minrui Luo
Fuhang Kuang
Yu Wang
Zirui Liu
Tianxing He
CLL
56
0
0
29 May 2025
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs
Artem Vazhentsev
Lyudmila Rvanova
Gleb Kuzmin
Ekaterina Fadeeva
Ivan Lazichny
...
Maxim Panov
Timothy Baldwin
Mrinmaya Sachan
Preslav Nakov
Artem Shelmanov
EDLHILM
84
0
0
26 May 2025
Multi-Party Conversational Agents: A Survey
Multi-Party Conversational Agents: A Survey
Sagar Sapkota
M. Hasan
Mubarak Shah
Santu Karmaker
LLMAG
69
0
0
24 May 2025
Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization
Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization
Chengcan Wu
Zhixin Zhang
Zeming Wei
Yihao Zhang
Meng Sun
AAML
59
1
0
22 May 2025
QA-prompting: Improving Summarization with Large Language Models using Question-Answering
QA-prompting: Improving Summarization with Large Language Models using Question-Answering
Neelabh Sinha
RALMLRM
110
0
0
20 May 2025
$\texttt{DIAMONDs}$: A Dataset for $\mathbb{D}$ynamic $\mathbb{I}$nformation $\mathbb{A}$nd $\mathbb{M}$ental modeling $\mathbb{O}$f $\mathbb{N}$umeric $\mathbb{D}$iscussions
DIAMONDs\texttt{DIAMONDs}DIAMONDs: A Dataset for D\mathbb{D}Dynamic I\mathbb{I}Information A\mathbb{A}And M\mathbb{M}Mental modeling O\mathbb{O}Of N\mathbb{N}Numeric D\mathbb{D}Discussions
Sayontan Ghosh
Mahnaz Koupaee
Yash Kumar Lal
Pegah Alipoormolabashi
Mohammad Saqib Hasan
Jun Seok Kang
Niranjan Balasubramanian
50
0
0
19 May 2025
CS-Sum: A Benchmark for Code-Switching Dialogue Summarization and the Limits of Large Language Models
CS-Sum: A Benchmark for Code-Switching Dialogue Summarization and the Limits of Large Language Models
Sathya Krishnan Suresh
Tanmay Surana
Lim Zhi Hao
Eng Siong Chng
ELM
63
0
0
19 May 2025
What are they talking about? Benchmarking Large Language Models for Knowledge-Grounded Discussion Summarization
What are they talking about? Benchmarking Large Language Models for Knowledge-Grounded Discussion Summarization
Weixiao Zhou
Junnan Zhu
Gengyao Li
Xianfu Cheng
Xinnian Liang
Feifei Zhai
Zhiyu Li
ALM
63
0
0
18 May 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
Ning Lu
Shengcai Liu
Jiahao Wu
Weiyu Chen
Zhirui Zhang
Yew-Soon Ong
Qi Wang
Ke Tang
106
3
0
17 May 2025
Multi-Token Prediction Needs Registers
Multi-Token Prediction Needs Registers
Anastasios Gerontopoulos
Spyros Gidaris
N. Komodakis
115
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0
15 May 2025
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
66
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0
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
127
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Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Zehao Fan
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Zhenyu Liu
Liu Liu
58
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0
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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
Zizhuo Zhang
Hongming Zhang
Haitao Mi
Dong Yu
ReLMRALMLRM
489
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Emotions in the Loop: A Survey of Affective Computing for Emotional Support
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80
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BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts
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Qingyue Wang
Qi Pang
Xixun Lin
Shuai Wang
Daoyuan Wu
MoE
127
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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
81
1
0
13 Apr 2025
Summarizing Speech: A Comprehensive Survey
Summarizing Speech: A Comprehensive Survey
Fabian Retkowski
Maike Züfle
Andreas Sudmann
Dinah Pfau
Jan Niehues
Alexander Waibel
Alexander H. Waibel
112
0
0
10 Apr 2025
PreSumm: Predicting Summarization Performance Without Summarizing
PreSumm: Predicting Summarization Performance Without Summarizing
Steven Koniaev
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Jackie Chi Kit Cheung
70
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0
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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
75
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Not All LoRA Parameters Are Essential: Insights on Inference Necessity
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Guanhua Chen
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Ci-Jun Gao
Lidia S. Chao
Feng Wan
Derek F. Wong
118
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SWI: Speaking with Intent in Large Language Models
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Yuwei Yin
EunJeong Hwang
Giuseppe Carenini
LRM
131
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
79
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20 Mar 2025
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
Alexander Watcher
Marc-Philip Ecker
Giang Nguyen
Tobias Glueck
133
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0
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OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
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Mateusz Lango
Ondrej Dusek
ELM
85
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Uncertainty-Aware Decoding with Minimum Bayes Risk
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Clara Meister
Thomas Möllenhoff
Iryna Gurevych
104
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Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving
Qihui Zhou
Peiqi Yin
Pengfei Zuo
James Cheng
CLL
115
3
0
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CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
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Yao Xin
Benben Liu
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Constraining Sequential Model Editing with Editing Anchor Compression
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Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
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149
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