Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Taiji, Li, Zhi, Zhang, Yin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TrueBrief: Faithful Summarization through Small Language Models
by: Lakara, Kumud, et al.
Published: (2025)
by: Lakara, Kumud, et al.
Published: (2025)
Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026)
by: Lyu, Mengxian, et al.
Published: (2026)
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
by: Feng, Huawen, et al.
Published: (2023)
by: Feng, Huawen, et al.
Published: (2023)
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
by: Ghoshal, Asish, et al.
Published: (2022)
by: Ghoshal, Asish, et al.
Published: (2022)
STORYSUMM: Evaluating Faithfulness in Story Summarization
by: Subbiah, Melanie, et al.
Published: (2024)
by: Subbiah, Melanie, et al.
Published: (2024)
HERA: Improving Long Document Summarization using Large Language Models with Context Packaging and Reordering
by: Li, Taiji, et al.
Published: (2025)
by: Li, Taiji, et al.
Published: (2025)
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
by: Luo, Linhao, et al.
Published: (2023)
by: Luo, Linhao, et al.
Published: (2023)
Faithful Chart Summarization with ChaTS-Pi
by: Krichene, Syrine, et al.
Published: (2024)
by: Krichene, Syrine, et al.
Published: (2024)
ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training
by: Liang, Yu, et al.
Published: (2026)
by: Liang, Yu, et al.
Published: (2026)
Improving Attributed Text Generation of Large Language Models via Preference Learning
by: Li, Dongfang, et al.
Published: (2024)
by: Li, Dongfang, et al.
Published: (2024)
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
by: Si, Shuzheng, et al.
Published: (2025)
by: Si, Shuzheng, et al.
Published: (2025)
SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation
by: Tang, Xiaqiang, et al.
Published: (2025)
by: Tang, Xiaqiang, et al.
Published: (2025)
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
by: Li, Yuepei, et al.
Published: (2024)
by: Li, Yuepei, et al.
Published: (2024)
SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
by: Lv, Weijiang, et al.
Published: (2026)
by: Lv, Weijiang, et al.
Published: (2026)
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
by: Deroy, Aniket, et al.
Published: (2024)
by: Deroy, Aniket, et al.
Published: (2024)
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
by: Bao, Forrest Sheng, et al.
Published: (2024)
by: Bao, Forrest Sheng, et al.
Published: (2024)
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
by: Tang, Xiaqiang, et al.
Published: (2025)
by: Tang, Xiaqiang, et al.
Published: (2025)
TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
by: Zhang, Liancheng, et al.
Published: (2026)
by: Zhang, Liancheng, et al.
Published: (2026)
Closing the Confidence-Faithfulness Gap in Large Language Models
by: Miao, Miranda Muqing, et al.
Published: (2026)
by: Miao, Miranda Muqing, et al.
Published: (2026)
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
by: Huang, Liangjie, et al.
Published: (2025)
by: Huang, Liangjie, et al.
Published: (2025)
FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, 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)
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
by: Cui, Wendi, et al.
Published: (2024)
by: Cui, Wendi, et al.
Published: (2024)
PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models
by: An, Jiyuan, et al.
Published: (2026)
by: An, Jiyuan, et al.
Published: (2026)
Soft Self-Consistency Improves Language Model Agents
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, et al.
Published: (2024)
by: Li, Siheng, et al.
Published: (2024)
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
by: Zhao, Lingjun, et al.
Published: (2025)
by: Zhao, Lingjun, et al.
Published: (2025)
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
by: Ma, Shengjie, et al.
Published: (2024)
by: Ma, Shengjie, et al.
Published: (2024)
CLLMs: Consistency Large Language Models
by: Kou, Siqi, et al.
Published: (2024)
by: Kou, Siqi, et al.
Published: (2024)
Cross-Modal Consistency in Multimodal Large Language Models
by: Zhang, Xiang, et al.
Published: (2024)
by: Zhang, Xiang, et al.
Published: (2024)
A Survey on Self-Evolution of Large Language Models
by: Tao, Zhengwei, et al.
Published: (2024)
by: Tao, Zhengwei, et al.
Published: (2024)
Exploring Iterative Controllable Summarization with Large Language Models
by: Ryu, Sangwon, et al.
Published: (2024)
by: Ryu, Sangwon, et al.
Published: (2024)
Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
by: Ju, Li, et al.
Published: (2026)
by: Ju, Li, et al.
Published: (2026)
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation
by: Feng, Yichao, et al.
Published: (2025)
by: Feng, Yichao, et al.
Published: (2025)
SI-FACT: Mitigating Knowledge Conflict via Self-Improving Faithfulness-Aware Contrastive Tuning
by: Fu, Shengqiang
Published: (2025)
by: Fu, Shengqiang
Published: (2025)
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
by: Siegel, Noah Y., et al.
Published: (2024)
by: Siegel, Noah Y., et al.
Published: (2024)
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)
by: Tang, Xiangru, et al.
Published: (2025)
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)
Improving Contextual ASR via Multi-grained Fusion with Large Language Models
by: Zhou, Shilin, et al.
Published: (2025)
by: Zhou, Shilin, et al.
Published: (2025)
Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization
by: Mei, Xiaoyong, et al.
Published: (2026)
by: Mei, Xiaoyong, et al.
Published: (2026)
Similar Items
-
TrueBrief: Faithful Summarization through Small Language Models
by: Lakara, Kumud, et al.
Published: (2025) -
Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026) -
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
by: Feng, Huawen, et al.
Published: (2023) -
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
by: Ghoshal, Asish, et al.
Published: (2022) -
STORYSUMM: Evaluating Faithfulness in Story Summarization
by: Subbiah, Melanie, et al.
Published: (2024)