Image de couverture de livre

Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sarumi, Olufunke O., Welch, Charles, Braun, Daniel
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Impact of Annotator Personas on LLM Behavior Across the Perspectivism Spectrum
par: Sarumi, Olufunke O., et autres
Publié: (2025)

Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives
par: Sarumi, Olufunke O., et autres
Publié: (2025)

Corpus Considerations for Annotator Modeling and Scaling
par: Sarumi, Olufunke O., et autres
Publié: (2024)

DeFine: A Decomposed and Fine-Grained Annotated Dataset for Long-form Article Generation
par: Wang, Ming, et autres
Publié: (2025)

Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting
par: Wu, Jianfei, et autres
Publié: (2024)

Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
par: Kamp, Jonathan, et autres
Publié: (2025)

MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
par: Jiang, Han, et autres
Publié: (2024)

Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
par: Resck, Lucas E., et autres
Publié: (2024)

Evaluating Human Alignment and Model Faithfulness of LLM Rationale
par: Fayyaz, Mohsen, et autres
Publié: (2024)

Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
par: Jang, Joonwon, et autres
Publié: (2024)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
par: Zhao, Zhixue, et autres
Publié: (2024)

Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales
par: Yan, Jianzhi, et autres
Publié: (2025)

RATIONALYST: Mining Implicit Rationales for Process Supervision of Reasoning
par: Jiang, Dongwei, et autres
Publié: (2024)

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
par: Wang, Jun, et autres
Publié: (2025)

Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs
par: Chu, SeongYeub, et autres
Publié: (2024)

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
par: Liu, Yan, et autres
Publié: (2024)

QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
par: Wang, Wei, et autres
Publié: (2024)

Rethinking Human Preference Evaluation of LLM Rationales
par: Li, Ziang, et autres
Publié: (2025)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
par: Huang, Lei, et autres
Publié: (2024)

GenAI vs. Human Fact-Checkers: Accurate Ratings, Flawed Rationales
par: Tai, Yuehong Cassandra, et autres
Publié: (2025)

Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
par: Yang, Jie, et autres
Publié: (2025)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
par: Bi, Baolong, et autres
Publié: (2025)

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
par: Pang, Jinlong, et autres
Publié: (2025)

Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
par: Valentino, Marco, et autres
Publié: (2025)

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
par: Kwon, Taeyoon, et autres
Publié: (2023)

Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models
par: Ballout, Mohamad, et autres
Publié: (2024)

Attention with Dependency Parsing Augmentation for Fine-Grained Attribution
par: Ding, Qiang, et autres
Publié: (2024)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning
par: Wang, Ante, et autres
Publié: (2024)

Rationale-guided Prompting for Knowledge-based Visual Question Answering
par: Hu, Zhongjian, et autres
Publié: (2024)

Reason2Decide: Rationale-Driven Multi-Task Learning
par: Hasan, H M Quamran, et autres
Publié: (2025)

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback
par: Li, Yongqi, et autres
Publié: (2024)

Reasoning Pattern Matters: Learning to Reason without Human Rationales
par: Pang, Chaoxu, et autres
Publié: (2025)

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations
par: Dimgba, Martha O., et autres
Publié: (2025)

Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation
par: Lin, Haocheng
Publié: (2024)

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports
par: Hardy, Romain, et autres
Publié: (2024)

Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
par: Chen, Po-Chun, et autres
Publié: (2026)

Reliable Fine-Grained Evaluation of Natural Language Math Proofs
par: Ma, Wenjie, et autres
Publié: (2025)

Learning to Verify Summary Facts with Fine-Grained LLM Feedback
par: Oh, Jihwan, et autres
Publié: (2024)

Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game
par: Kim, Byungjun, et autres
Publié: (2024)

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection
par: Suresh, Malavika, et autres
Publié: (2025)