Image de couverture de livre

Unintended Negative Impacts of Promotional Language in Patent Evaluation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Bingkun, Zhang, Chenwei, Peng, Hao
Format:	Preprint
Publié:	2026
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

Unintended Impacts of LLM Alignment on Global Representation
par: Ryan, Michael J., et autres
Publié: (2024)

PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims
par: Yoo, Yongmin, et autres
Publié: (2025)

Towards Better Evaluation for Generated Patent Claims
par: Jiang, Lekang, et autres
Publié: (2025)

CinPatent: Datasets for Patent Classification
par: Nguyen, Minh-Tien, et autres
Publié: (2022)

Unintended Memorization of Sensitive Information in Fine-Tuned Language Models
par: Szep, Marton, et autres
Publié: (2026)

Large Language Model Informed Patent Image Retrieval
par: Lo, Hao-Cheng, et autres
Publié: (2024)

Can Large Language Models Generate High-quality Patent Claims?
par: Jiang, Lekang, et autres
Publié: (2024)

Patent-CR: A Dataset for Patent Claim Revision
par: Jiang, Lekang, et autres
Publié: (2024)

Enriching Patent Claim Generation with European Patent Dataset
par: Jiang, Lekang, et autres
Publié: (2025)

Causal ATE Mitigates Unintended Bias in Controlled Text Generation
par: Madhavan, Rahul, et autres
Publié: (2023)

Pat-DEVAL: Chain-of-Legal-Thought Evaluation for Patent Description
par: Yoo, Yongmin, et autres
Publié: (2026)

Adaptive Cost-Efficient Evaluation for Reliable Patent Claim Generation
par: Yoo, Yongmin, et autres
Publié: (2026)

Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs
par: Peng, Zhuoyi, et autres
Publié: (2024)

Promotional Language and the Adoption of Innovative Ideas in Science
par: Peng, Hao, et autres
Publié: (2024)

Large Language Model for Patent Concept Generation
par: Ren, Runtao, et autres
Publié: (2024)

The Impact of Negated Text on Hallucination with Large Language Models
par: Seo, Jaehyung, et autres
Publié: (2025)

Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art
par: Ikoma, Hayato, et autres
Publié: (2025)

PatentEval: Understanding Errors in Patent Generation
par: Zuo, You, et autres
Publié: (2024)

Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
par: Chen, Yuyan, et autres
Publié: (2024)

The Unintended Trade-off of AI Alignment:Balancing Hallucination Mitigation and Safety in LLMs
par: Mahmoud, Omar, et autres
Publié: (2025)

Knowledge Reasoning of Large Language Models Integrating Graph-Structured Information for Pest and Disease Control in Tobacco
par: Li, Siyu, et autres
Publié: (2025)

E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models
par: Zhang, Zhenyu, et autres
Publié: (2024)

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients
par: Xu, Mingwei, et autres
Publié: (2026)

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
par: Qiu, Haoyi, et autres
Publié: (2023)

$\texttt{PatentAgent}$: Intelligent Agent for Automated Pharmaceutical Patent Analysis
par: Wang, Xin, et autres
Publié: (2024)

Graph-Augmented Reasoning with Large Language Models for Tobacco Pest and Disease Management
par: Li, Siyu, et autres
Publié: (2026)

Patent Language Model Pretraining with ModernBERT
par: Yousefiramandi, Amirhossein, et autres
Publié: (2025)

Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization
par: Wang, Shiqi, et autres
Publié: (2023)

AutoPatent: A Multi-Agent Framework for Automatic Patent Generation
par: Wang, Qiyao, et autres
Publié: (2024)

PatentEdits: Framing Patent Novelty as Textual Entailment
par: Lee, Ryan, et autres
Publié: (2024)

Collapsed Language Models Promote Fairness
par: Xu, Jingxuan, et autres
Publié: (2024)

PatentGPT: A Large Language Model for Intellectual Property
par: Bai, Zilong, et autres
Publié: (2024)

Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
par: Choi, Sooyung, et autres
Publié: (2025)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
par: Li, Kun, et autres
Publié: (2024)

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models
par: Zhu, Bin, et autres
Publié: (2025)

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test?
par: Khera, Bhakti, et autres
Publié: (2025)

The Master-Slave Encoder Model for Improving Patent Text Summarization: A New Approach to Combining Specifications and Claims
par: Zhou, Shu, et autres
Publié: (2024)

EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics
par: Wan, Chenwei, et autres
Publié: (2024)

Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
par: Duan, Shitong, et autres
Publié: (2024)

From Data to Behavior: Predicting Unintended Model Behaviors Before Training
par: Wang, Mengru, et autres
Publié: (2026)