One Arrow, Many Targets: Probing LLMs for Multi-Attribute Controllable Text Summarization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Roy, Tathagato, Mishra, Rahul
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
di: Urlana, Ashok, et al.
Pubblicazione: (2023)

NEAT: Concept driven Neuron Attribution in LLMs
di: Kavuri, Vivek Hruday, et al.
Pubblicazione: (2025)

Evaluation of LLMs in Medical Text Summarization: The Role of Vocabulary Adaptation in High OOV Settings
di: Balde, Gunjan, et al.
Pubblicazione: (2025)

Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs
di: Zhou, Shang, et al.
Pubblicazione: (2024)

Multi-LLM Text Summarization
di: Fang, Jiangnan, et al.
Pubblicazione: (2024)

Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
di: Ryu, Sangwon, et al.
Pubblicazione: (2025)

Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
di: Du, Yexing, et al.
Pubblicazione: (2024)

Enriching and Controlling Global Semantics for Text Summarization
di: Nguyen, Thong, et al.
Pubblicazione: (2021)

LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
di: Faizullah, Abdur Rahman Bin Md, et al.
Pubblicazione: (2024)

Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs
di: Taghibakhshi, Ali, et al.
Pubblicazione: (2025)

An Empirical Study of Many-to-Many Summarization with Large Language Models
di: Wang, Jiaan, et al.
Pubblicazione: (2025)

Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization
di: BN, Suhas, et al.
Pubblicazione: (2025)

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
di: Jain, Sameer, et al.
Pubblicazione: (2023)

MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization
di: Chen, Tao, et al.
Pubblicazione: (2023)

From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
di: Belem, Catarina G., et al.
Pubblicazione: (2024)

Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets
di: Rehman, Tohida, et al.
Pubblicazione: (2025)

CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
di: Ding, Yixi, et al.
Pubblicazione: (2024)

Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs
di: Lee, Jing Yang, et al.
Pubblicazione: (2025)

Abstractive Text Summarization for Bangla Language Using NLP and Machine Learning Approaches
di: Miazee, Asif Ahammad, et al.
Pubblicazione: (2025)

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization
di: Balde, Gunjan, et al.
Pubblicazione: (2024)

TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
di: Syed, Shahbaz, et al.
Pubblicazione: (2024)

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
di: Li, Chuyuan, et al.
Pubblicazione: (2025)

Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs
di: Han, Peitao, et al.
Pubblicazione: (2026)

Many LLMs Are More Utilitarian Than One
di: Keshmirian, Anita, et al.
Pubblicazione: (2025)

Understanding LLM Behavior in Multi-Target Cross-Lingual Summarization
di: Ryu, Sangwon, et al.
Pubblicazione: (2026)

Multi-Intent Attribute-Aware Text Matching in Searching
di: Li, Mingzhe, et al.
Pubblicazione: (2024)

Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text
di: Rao, Zixin, et al.
Pubblicazione: (2025)

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text
di: Najjar, Ayat, et al.
Pubblicazione: (2025)

Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning
di: Ryu, Sangwon, et al.
Pubblicazione: (2024)

Multi-Label Clinical Text Eligibility Classification and Summarization System
di: Yerramsetty, Surya Tejaswi, et al.
Pubblicazione: (2025)

Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models
di: Zhu, Chenyu, et al.
Pubblicazione: (2025)

Causal ATE Mitigates Unintended Bias in Controlled Text Generation
di: Madhavan, Rahul, et al.
Pubblicazione: (2023)

Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization
di: Balde, Gunjan, et al.
Pubblicazione: (2026)

Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs
di: Hatefi, Sayed Mohammad Vakilzadeh, et al.
Pubblicazione: (2025)

Exploring News Summarization and Enrichment in a Highly Resource-Scarce Indian Language: A Case Study of Mizo
di: Bala, Abhinaba, et al.
Pubblicazione: (2024)

DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph
di: Chitale, Maitreya Prafulla, et al.
Pubblicazione: (2024)

Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization
di: Hemamou, Léo, et al.
Pubblicazione: (2024)

On the Feasibility of In-Context Probing for Data Attribution
di: Jiao, Cathy, et al.
Pubblicazione: (2024)

Can LLMs Convert Graphs to Text-Attributed Graphs?
di: Wang, Zehong, et al.
Pubblicazione: (2024)

One Battle After Another: Probing LLMs' Limits on Multi-Turn Instruction Following with a Benchmark Evolving Framework
di: Jia, Qi, et al.
Pubblicazione: (2025)