Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
Fuente:
arXiv
Saved in:
| Main Authors: | Tu, Lifu, Meng, Rui, Joty, Shafiq, Zhou, Yingbo, Yavuz, Semih |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters
by: Tu, Lifu, et al.
Published: (2025)
by: Tu, Lifu, et al.
Published: (2025)
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
by: Tu, Lifu, et al.
Published: (2023)
by: Tu, Lifu, et al.
Published: (2023)
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
by: Meng, Rui, et al.
Published: (2024)
by: Meng, Rui, et al.
Published: (2024)
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
by: Tu, Lifu, et al.
Published: (2023)
by: Tu, Lifu, et al.
Published: (2023)
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking
by: Niu, Tong, et al.
Published: (2024)
by: Niu, Tong, et al.
Published: (2024)
HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution
by: Liu, Ye, et al.
Published: (2023)
by: Liu, Ye, et al.
Published: (2023)
AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
by: Meng, Rui, et al.
Published: (2022)
by: Meng, Rui, et al.
Published: (2022)
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
by: Xu, Austin, et al.
Published: (2025)
by: Xu, Austin, et al.
Published: (2025)
MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
by: Venkataramani, Vishal, et al.
Published: (2026)
by: Venkataramani, Vishal, et al.
Published: (2026)
Parameter-Efficient Detoxification with Contrastive Decoding
by: Niu, Tong, et al.
Published: (2024)
by: Niu, Tong, et al.
Published: (2024)
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
by: Jiang, Ziyan, et al.
Published: (2024)
by: Jiang, Ziyan, et al.
Published: (2024)
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
by: Liu, Ye, et al.
Published: (2023)
by: Liu, Ye, et al.
Published: (2023)
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval
by: Liu, Ye, et al.
Published: (2024)
by: Liu, Ye, et al.
Published: (2024)
DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation
by: Wanner, Miriam, et al.
Published: (2024)
by: Wanner, Miriam, et al.
Published: (2024)
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
by: Le, Hung, et al.
Published: (2023)
by: Le, Hung, et al.
Published: (2023)
On Positional Bias of Faithfulness for Long-form Summarization
by: Wan, David, et al.
Published: (2024)
by: Wan, David, et al.
Published: (2024)
Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text
by: Rahman, Mizanur, et al.
Published: (2025)
by: Rahman, Mizanur, et al.
Published: (2025)
SSR: Socratic Self-Refine for Large Language Model Reasoning
by: Shi, Haizhou, et al.
Published: (2025)
by: Shi, Haizhou, et al.
Published: (2025)
Language Models can Self-Lengthen to Generate Long Texts
by: Quan, Shanghaoran, et al.
Published: (2024)
by: Quan, Shanghaoran, et al.
Published: (2024)
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
by: Han, Simeng, et al.
Published: (2024)
by: Han, Simeng, et al.
Published: (2024)
Exploring Self-supervised Logic-enhanced Training for Large Language Models
by: Jiao, Fangkai, et al.
Published: (2023)
by: Jiao, Fangkai, et al.
Published: (2023)
Stage-wise Fine-tuning for Graph-to-Text Generation
by: Wang, Qingyun, et al.
Published: (2021)
by: Wang, Qingyun, et al.
Published: (2021)
Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation
by: Zhang, Ziyin, et al.
Published: (2024)
by: Zhang, Ziyin, et al.
Published: (2024)
Unsupervised Summarization Re-ranking
by: Ravaut, Mathieu, et al.
Published: (2022)
by: Ravaut, Mathieu, et al.
Published: (2022)
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
by: Qin, Chengwei, et al.
Published: (2025)
by: Qin, Chengwei, et al.
Published: (2025)
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
by: Zhang, Xiaoying, et al.
Published: (2024)
by: Zhang, Xiaoying, et al.
Published: (2024)
Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
by: Salemi, Alireza, et al.
Published: (2025)
by: Salemi, Alireza, et al.
Published: (2025)
Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation
by: Samarinas, Chris, et al.
Published: (2025)
by: Samarinas, Chris, et al.
Published: (2025)
Learning from Language Feedback via Variational Policy Distillation
by: Li, Yang, et al.
Published: (2026)
by: Li, Yang, et al.
Published: (2026)
Atomic Self-Consistency for Better Long Form Generations
by: Thirukovalluru, Raghuveer, et al.
Published: (2024)
by: Thirukovalluru, Raghuveer, et al.
Published: (2024)
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
by: Rahman, Mizanur, et al.
Published: (2026)
by: Rahman, Mizanur, et al.
Published: (2026)
NAACL2025 Tutorial: Adaptation of Large Language Models
by: Ke, Zixuan, et al.
Published: (2025)
by: Ke, Zixuan, et al.
Published: (2025)
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
by: Chen, Hailin, et al.
Published: (2023)
by: Chen, Hailin, et al.
Published: (2023)
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
by: Ke, Zixuan, et al.
Published: (2026)
by: Ke, Zixuan, et al.
Published: (2026)
Beyond Precision: Importance-Aware Recall for Factuality Evaluation in Long-Form LLM Generation
by: Jafari, Nazanin, et al.
Published: (2026)
by: Jafari, Nazanin, et al.
Published: (2026)
Think Through Uncertainty: Improving Long-Form Generation Factuality via Reasoning Calibration
by: Liu, Xin, et al.
Published: (2026)
by: Liu, Xin, et al.
Published: (2026)
Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality
by: Luo, Wen, et al.
Published: (2026)
by: Luo, Wen, et al.
Published: (2026)
Direct Judgement Preference Optimization
by: Wang, Peifeng, et al.
Published: (2024)
by: Wang, Peifeng, et al.
Published: (2024)
Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
by: Li, Chuyuan, et al.
Published: (2025)
by: Li, Chuyuan, et al.
Published: (2025)
Factuality on Demand: Controlling the Factuality-Informativeness Trade-off in Text Generation
by: Gong, Ziwei, et al.
Published: (2026)
by: Gong, Ziwei, et al.
Published: (2026)
Similar Items
-
Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters
by: Tu, Lifu, et al.
Published: (2025) -
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
by: Tu, Lifu, et al.
Published: (2023) -
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
by: Meng, Rui, et al.
Published: (2024) -
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
by: Tu, Lifu, et al.
Published: (2023) -
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking
by: Niu, Tong, et al.
Published: (2024)