Noisy Pairing and Partial Supervision for Stylized Opinion Summarization
Fuente:
arXiv
Saved in:
| Main Authors: | Iso, Hayate, Wang, Xiaolan, Suhara, Yoshi |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Source Identification in Abstractive Summarization
by: Suhara, Yoshi, et al.
Published: (2024)
by: Suhara, Yoshi, et al.
Published: (2024)
AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation
by: Iso, Hayate
Published: (2022)
by: Iso, Hayate
Published: (2022)
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG
by: Niwa, Ayana, et al.
Published: (2024)
by: Niwa, Ayana, et al.
Published: (2024)
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
by: Maekawa, Seiji, et al.
Published: (2024)
by: Maekawa, Seiji, et al.
Published: (2024)
The Rarity Blind Spot: A Framework for Evaluating Statistical Reasoning in LLMs
by: Maekawa, Seiji, et al.
Published: (2025)
by: Maekawa, Seiji, et al.
Published: (2025)
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
by: Belem, Catarina G., et al.
Published: (2024)
by: Belem, Catarina G., et al.
Published: (2024)
When2Call: When (not) to Call Tools
by: Ross, Hayley, et al.
Published: (2025)
by: Ross, Hayley, et al.
Published: (2025)
XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates
by: Zhang, Haopeng, et al.
Published: (2023)
by: Zhang, Haopeng, et al.
Published: (2023)
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education
by: Iso, Hayate, et al.
Published: (2025)
by: Iso, Hayate, et al.
Published: (2025)
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models
by: Maekawa, Seiji, et al.
Published: (2024)
by: Maekawa, Seiji, et al.
Published: (2024)
Your Large Language Models Are Leaving Fingerprints
by: McGovern, Hope, et al.
Published: (2024)
by: McGovern, Hope, et al.
Published: (2024)
Less is More for Long Document Summary Evaluation by LLMs
by: Wu, Yunshu, et al.
Published: (2023)
by: Wu, Yunshu, et al.
Published: (2023)
Large Language Models are Inconsistent and Biased Evaluators
by: Stureborg, Rickard, et al.
Published: (2024)
by: Stureborg, Rickard, et al.
Published: (2024)
Polarity Calibration for Opinion Summarization
by: Lei, Yuanyuan, et al.
Published: (2024)
by: Lei, Yuanyuan, et al.
Published: (2024)
Product Description and QA Assisted Self-Supervised Opinion Summarization
by: Siledar, Tejpalsingh, et al.
Published: (2024)
by: Siledar, Tejpalsingh, et al.
Published: (2024)
Rationale-based Opinion Summarization
by: Li, Haoyuan, et al.
Published: (2024)
by: Li, Haoyuan, et al.
Published: (2024)
FactSim: Fact-Checking for Opinion Summarization
by: Anghinoni, Leandro, et al.
Published: (2026)
by: Anghinoni, Leandro, et al.
Published: (2026)
Summarization of Opinionated Political Documents with Varied Perspectives
by: Deas, Nicholas, et al.
Published: (2024)
by: Deas, Nicholas, et al.
Published: (2024)
Aspect-Based Opinion Summarization with Argumentation Schemes
by: Zhou, Wendi, et al.
Published: (2025)
by: Zhou, Wendi, et al.
Published: (2025)
Hierarchical Indexing for Retrieval-Augmented Opinion Summarization
by: Hosking, Tom, et al.
Published: (2024)
by: Hosking, Tom, et al.
Published: (2024)
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM
by: Muddu, Sri Raghava, et al.
Published: (2024)
by: Muddu, Sri Raghava, et al.
Published: (2024)
Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
by: Zeng, Qi, et al.
Published: (2023)
by: Zeng, Qi, et al.
Published: (2023)
Decomposed Opinion Summarization with Verified Aspect-Aware Modules
by: Li, Miao, et al.
Published: (2025)
by: Li, Miao, et al.
Published: (2025)
Incremental Extractive Opinion Summarization Using Cover Trees
by: Chowdhury, Somnath Basu Roy, et al.
Published: (2024)
by: Chowdhury, Somnath Basu Roy, et al.
Published: (2024)
Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers
by: Ash, Elliott, et al.
Published: (2023)
by: Ash, Elliott, et al.
Published: (2023)
MOSAIC: Modular Opinion Summarization using Aspect Identification and Clustering
by: Singh, Piyush Kumar, et al.
Published: (2026)
by: Singh, Piyush Kumar, et al.
Published: (2026)
How to Train Text Summarization Model with Weak Supervisions
by: Wang, Yanbo, et al.
Published: (2024)
by: Wang, Yanbo, et al.
Published: (2024)
A Theorem-Proving-Based Evaluation of Neural Semantic Parsing
by: Funakura, Hayate, et al.
Published: (2025)
by: Funakura, Hayate, et al.
Published: (2025)
Impact of Noisy Supervision in Foundation Model Learning
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
LFOSum: Summarizing Long-form Opinions with Large Language Models
by: Nayeem, Mir Tafseer, et al.
Published: (2024)
by: Nayeem, Mir Tafseer, et al.
Published: (2024)
Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization
by: Tanaka, Rika, et al.
Published: (2024)
by: Tanaka, Rika, et al.
Published: (2024)
Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models
by: Zhang, Yanyue, et al.
Published: (2025)
by: Zhang, Yanyue, et al.
Published: (2025)
Balancing Stylization and Truth via Disentangled Representation Steering
by: Shen, Chenglei, et al.
Published: (2025)
by: Shen, Chenglei, et al.
Published: (2025)
Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
by: Diao, Shizhe, et al.
Published: (2025)
by: Diao, Shizhe, et al.
Published: (2025)
LLMs as Architects and Critics for Multi-Source Opinion Summarization
by: Attri, Anuj, et al.
Published: (2025)
by: Attri, Anuj, et al.
Published: (2025)
Query-Guided Self-Supervised Summarization of Nursing Notes
by: Gao, Ya, et al.
Published: (2024)
by: Gao, Ya, et al.
Published: (2024)
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization
by: Nath, Swaroop, et al.
Published: (2024)
by: Nath, Swaroop, et al.
Published: (2024)
Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization
by: Zhang, Yanyue, et al.
Published: (2024)
by: Zhang, Yanyue, et al.
Published: (2024)
Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization
by: Wang, Weixuan, et al.
Published: (2025)
by: Wang, Weixuan, et al.
Published: (2025)
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
by: He, Jianfeng, et al.
Published: (2024)
by: He, Jianfeng, et al.
Published: (2024)
Similar Items
-
Source Identification in Abstractive Summarization
by: Suhara, Yoshi, et al.
Published: (2024) -
AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation
by: Iso, Hayate
Published: (2022) -
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG
by: Niwa, Ayana, et al.
Published: (2024) -
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
by: Maekawa, Seiji, et al.
Published: (2024) -
The Rarity Blind Spot: A Framework for Evaluating Statistical Reasoning in LLMs
by: Maekawa, Seiji, et al.
Published: (2025)