Cover Image

Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chiang, Cheng-Han, Lee, Hung-yi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts
by: Liu, Xin, et al.
Published: (2025)

Over-Reasoning and Redundant Calculation of Large Language Models
by: Chiang, Cheng-Han, et al.
Published: (2024)

TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge
by: Chiang, Cheng-Han, et al.
Published: (2025)

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
by: Wang, Yuxia, et al.
Published: (2024)

MAD-Fact: A Multi-Agent Debate Framework for Long-Form Factuality Evaluation in LLMs
by: Ning, Yucheng, et al.
Published: (2025)

Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)

On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation
by: Hsu, Chan-Jan, et al.
Published: (2026)

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
by: Marinescu, Radu, et al.
Published: (2025)

FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction
by: Scirè, Alessandro, et al.
Published: (2024)

Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
by: Lin, Guan-Ting, et al.
Published: (2024)

SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language Models
by: Huang, Hsiao-Ying, et al.
Published: (2026)

Self-Contradictory Reasoning Evaluation and Detection
by: Liu, Ziyi, et al.
Published: (2023)

Towards Effective Extraction and Evaluation of Factual Claims
by: Metropolitansky, Dasha, et al.
Published: (2025)

Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course
by: Chiang, Cheng-Han, et al.
Published: (2024)

DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
by: Lin, Tzu-Han, et al.
Published: (2024)

Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality
by: Li, Junliang, et al.
Published: (2025)

Beyond Precision: Importance-Aware Recall for Factuality Evaluation in Long-Form LLM Generation
by: Jafari, Nazanin, et al.
Published: (2026)

MedScore: Generalizable Factuality Evaluation of Free-Form Medical Answers by Domain-adapted Claim Decomposition and Verification
by: Huang, Heyuan, et al.
Published: (2025)

FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
by: Carnerero-Cano, Javier, et al.
Published: (2026)

All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations
by: Wanner, Miriam, et al.
Published: (2025)

Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding
by: Hsu, Tzu-wen, et al.
Published: (2025)

Transferring Textual Preferences to Vision-Language Understanding through Model Merging
by: Li, Chen-An, et al.
Published: (2025)

DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation
by: Wanner, Miriam, et al.
Published: (2024)

Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization
by: Lin, Tzu-Quan, et al.
Published: (2025)

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
by: Joseph, Sebastian Antony, et al.
Published: (2024)

FactAlign: Long-form Factuality Alignment of Large Language Models
by: Huang, Chao-Wei, et al.
Published: (2024)

FaStfact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
by: Wan, Yingjia, et al.
Published: (2025)

Prompt-Based One-Shot Exact Length-Controlled Generation with LLMs
by: Xie, Juncheng, 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)

Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
by: Tu, Lifu, et al.
Published: (2024)

Think Through Uncertainty: Improving Long-Form Generation Factuality via Reasoning Calibration
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)

JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation
by: Xu, Fan, et al.
Published: (2025)

FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs
by: Munnangi, Monica, et al.
Published: (2024)

FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation
by: Bayat, Farima Fatahi, et al.
Published: (2024)

Optimizing Long-Form Clinical Text Generation with Claim-Based Rewards
by: Jhaveri, Samyak, et al.
Published: (2025)

Long-Form Information Alignment Evaluation Beyond Atomic Facts
by: Zheng, Danna, et al.
Published: (2025)

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
by: Shin, Hagyeong, et al.
Published: (2025)

MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries
by: Grolleau, François, et al.
Published: (2025)

Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
by: Panchendrarajan, Rrubaa, et al.
Published: (2026)