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Awesome summarization β curated papers, datasets & benchmarks Β· Awesome Large Language Models
β all topics
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19 papers tagged summarization β re-sort below
Papers
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19 papers Β· trending (default)
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An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift
(2026)
Constantinos Karouzos et al.
1.94
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
(2026)
Yuchen Yan et al.
1.94
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
(2026)
Ziwen Zhao et al.
1.89
Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
(2025)
Xueqing Peng et al.
1.28
Iterative Value Function Optimization for Guided Decoding
(2025)
Zhenhua Liu et al.
1.28
Improving large language models with concept-aware fine-tuning
(2025)
Michael K. Chen et al.
1.28
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
(2025)
Caorui Li et al.
1.28
Document Understanding, Measurement, and Manipulation Using Category Theory
(2025)
Jared Claypoole et al.
1.28
A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding
(2023)
Andrea Burns et al.
β
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
(2023)
Rishabh Agarwal et al.
β
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
(2023)
Jianguo Zhang et al.
β
Genie: Achieving Human Parity in Content-Grounded Datasets Generation
(2024)
Asaf Yehudai et al.
β
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
(2024)
Gilles Baechler et al.
β
Long Code Arena: a Set of Benchmarks for Long-Context Code Models
(2024)
Egor Bogomolov et al.
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Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
(2024)
Philippe Laban et al.
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MovieSum: An Abstractive Summarization Dataset for Movie Screenplays
(2024)
Rohit Saxena et al.
β
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
(2024)
Haoran Que et al.
β
L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?
(2024)
Zecheng Tang et al.
β
Vector-ICL: In-context Learning with Continuous Vector Representations
(2024)
Yufan Zhuang et al.
β