Image de couverture de livre

On Positional Bias of Faithfulness for Long-form Summarization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wan, David, Vig, Jesse, Bansal, Mohit, Joty, Shafiq
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Unsupervised Summarization Re-ranking
par: Ravaut, Mathieu, et autres
Publié: (2022)

On Context Utilization in Summarization with Large Language Models
par: Ravaut, Mathieu, et autres
Publié: (2023)

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
par: Li, Chuyuan, et autres
Publié: (2025)

MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
par: Wan, David, et autres
Publié: (2025)

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
par: Zhang, Shiyue, et autres
Publié: (2024)

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
par: Ming, Yifei, et autres
Publié: (2024)

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
par: Xu, Austin, et autres
Publié: (2025)

Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
par: Tu, Lifu, et autres
Publié: (2024)

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
par: Huang, Kung-Hsiang, et autres
Publié: (2023)

NAACL2025 Tutorial: Adaptation of Large Language Models
par: Ke, Zixuan, et autres
Publié: (2025)

SFR-RAG: Towards Contextually Faithful LLMs
par: Nguyen, Xuan-Phi, et autres
Publié: (2024)

EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation
par: Fan, Yuchen, et autres
Publié: (2024)

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines
par: Long, Do Xuan, et autres
Publié: (2025)

ParaICL: Towards Parallel In-Context Learning
par: Li, Xingxuan, et autres
Publié: (2024)

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
par: Chen, Hailin, et autres
Publié: (2023)

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
par: Shi, Zhenmei, et autres
Publié: (2024)

STORYSUMM: Evaluating Faithfulness in Story Summarization
par: Subbiah, Melanie, et autres
Publié: (2024)

Direct Judgement Preference Optimization
par: Wang, Peifeng, et autres
Publié: (2024)

Lifelong Event Detection with Embedding Space Separation and Compaction
par: Qin, Chengwei, et autres
Publié: (2024)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
par: Liu, Yixin, et autres
Publié: (2023)

Balancing Faithfulness and Performance in Reasoning via Multi-Listener Soft Execution
par: Sivakumaran, Nithin, et autres
Publié: (2026)

Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
par: Olabisi, Olubusayo, et autres
Publié: (2024)

Faithful Chart Summarization with ChaTS-Pi
par: Krichene, Syrine, et autres
Publié: (2024)

LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs
par: Long, Do Xuan, et autres
Publié: (2024)

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models
par: Zhang, Zhenliang, et autres
Publié: (2025)

Localizing and Mitigating Errors in Long-form Question Answering
par: Sachdeva, Rachneet, et autres
Publié: (2024)

ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
par: Masry, Ahmed, et autres
Publié: (2024)

Learning from Self Critique and Refinement for Faithful LLM Summarization
par: Hu, Ting-Yao, et autres
Publié: (2025)

Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text
par: Rahman, Mizanur, et autres
Publié: (2025)

Evaluating Psychological Safety of Large Language Models
par: Li, Xingxuan, et autres
Publié: (2022)

FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
par: Bao, Forrest Sheng, et autres
Publié: (2024)

Suri: Multi-constraint Instruction Following for Long-form Text Generation
par: Pham, Chau Minh, et autres
Publié: (2024)

CEMTM: Contextual Embedding-based Multimodal Topic Modeling
par: Abaskohi, Amirhossein, et autres
Publié: (2025)

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
par: Nguyen, Xuan-Phi, et autres
Publié: (2023)

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
par: Zhou, Yilun, et autres
Publié: (2025)

LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
par: Yang, Cehao, et autres
Publié: (2025)

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
par: Li, Xingxuan, et autres
Publié: (2024)

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
par: Le, Hung, et autres
Publié: (2023)

Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning
par: Huang, Sicong, et autres
Publié: (2025)

Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
par: Wan, David, et autres
Publié: (2024)