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SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization

SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization

Yang Gao
Wei Zhao
Steffen Eger
    ELM
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Papers citing "SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization"

5 / 5 papers shown
Title
DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?
DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?
Daniil Larionov
Sotaro Takeshita
Ran Zhang
Yanran Chen
Christoph Leiter
Zhipin Wang
Christian Greisinger
Steffen Eger
ReLM
ELM
LRM
109
1
0
10 Apr 2025
Summarization Metrics for Spanish and Basque: Do Automatic Scores and LLM-Judges Correlate with Humans?
Summarization Metrics for Spanish and Basque: Do Automatic Scores and LLM-Judges Correlate with Humans?
Jeremy Barnes
Naiara Perez
Alba Bonet-Jover
Begoña Altuna
71
2
0
21 Mar 2025
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
242
6,420
0
26 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
517
11,979
0
27 Aug 2019
Better Summarization Evaluation with Word Embeddings for ROUGE
Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng
Viktoria Abrecht
28
171
0
25 Aug 2015

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