Text Summarization

37개 벤치마크 · 논문 1,413편 · 이 태스크의 논문 보기 →

Benchmarks

Most implemented

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

2019-10-29 · 구현 47개

Get To The Point: Summarization with Pointer-Generator Networks

2017-04-14 · 구현 39개

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

2019-12-18 · 구현 19개

Text Summarization with Pretrained Encoders

2019-08-22 · 구현 19개

Big Bird: Transformers for Longer Sequences

2020-07-28 · 구현 14개

Papers

TIAO: Token Importance-Aware Policy Optimization for Text Summarization

2026-09-15 · Qixiu Li, Chenlong Bao, Xiang Zhu, Xiaoyong Li 외 arxiv

Text summarization requires models to condense content while preserving key qualities such as consistency and coherence. Large language models (LLMs) have shown strong performance on this task and can be further improved…

Reinforcement Learning Text Summarization

LatentPress: Context Compression Beyond Text and Vision

2026-09-01 · Zhengze Zhou, Hejian Sang hf

Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model. We introduce LatentPress, which writes conversational histories and lon…

Text Summarization

Assessing Quality of Experience in Natural Language Generation of German Text

2026-08-19 · Dinh Nam Pham, Shushen Manakhimova, Vivien Macketanz, Sebastian Möller arxiv

The rapid advancement of Natural Language Generation (NLG) has made the reliable evaluation of generated text increasingly critical, as these systems, such as large language models (LLMs), are now widely deployed in real…

Machine Translation Text Summarization

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement

2026-07-26 · Qinsi Wang, Jing Shi, Huazheng Wang, Kun Wan 외 hf

Reinforcement Learning with Verifiable Rewards (RLVR) has driven recent progress in reasoning-oriented large language models (LLMs) by enabling large-scale optimization. However, its applicability remains largely limited…

Self-Supervised Learning Reinforcement Learning Mathematical Reasoning Text Summarization

Leveraging Instruction Tuning and Merging for Reasoning Model Adaptation

2026-07-16 · Yu-Du Feng, Niels Mündler-Sasahara, Mark Vero, Martin Vechev arxiv

Reasoning language models (RLMs) demonstrate impressive performance by leveraging test-time compute in the form of reasoning tokens. However, this behavior makes adapting RLMs to new domains challenging and expensive. Th…

Reinforcement Learning Text Summarization

Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition

2026-07-16 · Linyun Xiang, Mark Neerincx, Stephanie Tan arxiv

Existing text summarization research has focused much on monologic information (e.g., newspaper articles, reports) without accounting for the interaction between speakers or authors. In contrast, dialogues are a rich com…

Text Summarization

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