Copertina

Decoupling Scores and Text: The Politeness Principle in Peer Review

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Wen, Yingxuan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence
di: Mao, Qianren, et al.
Pubblicazione: (2024)

Concept Algebra for (Score-Based) Text-Controlled Generative Models
di: Wang, Zihao, et al.
Pubblicazione: (2023)

SPOT: Text Source Prediction from Originality Score Thresholding
di: Yvinec, Edouard, et al.
Pubblicazione: (2024)

Principled Gradient-based Markov Chain Monte Carlo for Text Generation
di: Du, Li, et al.
Pubblicazione: (2023)

Real-Time Trustworthiness Scoring for LLM Structured Outputs and Data Extraction
di: Goh, Hui Wen, et al.
Pubblicazione: (2026)

PiCO: Peer Review in LLMs based on the Consistency Optimization
di: Ning, Kun-Peng, et al.
Pubblicazione: (2024)

Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
di: Wang, Dong, et al.
Pubblicazione: (2025)

Computational Measurement of Political Positions: A Review of Text-Based Ideal Point Estimation Algorithms
di: Parschan, Patrick, et al.
Pubblicazione: (2025)

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
di: Yu, Xiao, et al.
Pubblicazione: (2023)

Automated Text Scoring in the Age of Generative AI for the GPU-poor
di: Ormerod, Christopher Michael, et al.
Pubblicazione: (2024)

Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
di: Saha, Rounak, et al.
Pubblicazione: (2026)

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures
di: Omidi, Parsa, et al.
Pubblicazione: (2025)

Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting
di: Li, Yufei, et al.
Pubblicazione: (2025)

DiffuSpeech: Silent Thought, Spoken Answer via Unified Speech-Text Diffusion
di: Lou, Yuxuan, et al.
Pubblicazione: (2026)

Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
di: Tan, Cheng, et al.
Pubblicazione: (2024)

TTSDS -- Text-to-Speech Distribution Score
di: Minixhofer, Christoph, et al.
Pubblicazione: (2024)

Large Language Models For Text Classification: Case Study And Comprehensive Review
di: Kostina, Arina, et al.
Pubblicazione: (2025)

From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges
di: Hong, Yihan, et al.
Pubblicazione: (2026)

Discovering Decoupled Functional Modules in Large Language Models
di: Yu, Yanke, et al.
Pubblicazione: (2026)

DEPT: Decoupled Embeddings for Pre-training Language Models
di: Iacob, Alex, et al.
Pubblicazione: (2024)

Multicalibration for Confidence Scoring in LLMs
di: Detommaso, Gianluca, et al.
Pubblicazione: (2024)

Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data
di: Chen, Yuhao, et al.
Pubblicazione: (2024)

Review, Remask, Refine (R3): Process-Guided Block Diffusion for Text Generation
di: Mounier, Nikita, et al.
Pubblicazione: (2025)

Detecting AI-Generated Content in Academic Peer Reviews
di: Shen, Siyuan, et al.
Pubblicazione: (2026)

Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions
di: Zhang, Daoze, et al.
Pubblicazione: (2025)

Maximum Score Routing For Mixture-of-Experts
di: Dong, Bowen, et al.
Pubblicazione: (2025)

A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
di: Loni, Mohammad, et al.
Pubblicazione: (2024)

Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning
di: Peng, Keqin, et al.
Pubblicazione: (2026)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
di: Ye, Rui, et al.
Pubblicazione: (2024)

Magic Words or Methodical Work? Challenging Conventional Wisdom in LLM-Based Political Text Annotation
di: McLaren, Lorcan, et al.
Pubblicazione: (2026)

Language Generation with Strictly Proper Scoring Rules
di: Shao, Chenze, et al.
Pubblicazione: (2024)

QA-Calibration of Language Model Confidence Scores
di: Manggala, Putra, et al.
Pubblicazione: (2024)

A Systematic Review of Data-to-Text NLG
di: Osuji, Chinonso Cynthia, et al.
Pubblicazione: (2024)

Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment
di: Ma, Xiang, et al.
Pubblicazione: (2026)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
di: Ma, Zhengzhao, et al.
Pubblicazione: (2026)

Aligners: Decoupling LLMs and Alignment
di: Ngweta, Lilian, et al.
Pubblicazione: (2024)

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models
di: Zheng, Lin, et al.
Pubblicazione: (2026)

Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation
di: Dasgupta, Sayantan, et al.
Pubblicazione: (2026)

Text2Freq: Learning Series Patterns from Text via Frequency Domain
di: Lo, Ming-Chih, et al.
Pubblicazione: (2024)

MiniGPT: Rebuilding GPT from First Principles
di: Joseph, Jibin
Pubblicazione: (2026)