Saved in:
| Main Authors: | Knappich, Valentin, Friedrich, Annemarie, Hätty, Anna, Razniewski, Simon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.21342 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pap2Pat: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs
by: Knappich, Valentin, et al.
Published: (2024)
by: Knappich, Valentin, et al.
Published: (2024)
Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
by: Knappich, Valentin, et al.
Published: (2026)
by: Knappich, Valentin, et al.
Published: (2026)
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
by: Schrader, Timo Pierre, et al.
Published: (2024)
by: Schrader, Timo Pierre, et al.
Published: (2024)
A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving
by: Schrader, Timo Pierre, et al.
Published: (2025)
by: Schrader, Timo Pierre, et al.
Published: (2025)
Patent-CR: A Dataset for Patent Claim Revision
by: Jiang, Lekang, et al.
Published: (2024)
by: Jiang, Lekang, et al.
Published: (2024)
Enriching Patent Claim Generation with European Patent Dataset
by: Jiang, Lekang, et al.
Published: (2025)
by: Jiang, Lekang, et al.
Published: (2025)
LLMpedia: A Transparent Framework to Materialize an LLM's Encyclopedic Knowledge at Scale
by: Saeed, Muhammed, et al.
Published: (2026)
by: Saeed, Muhammed, et al.
Published: (2026)
Foundations of LLM Knowledge Materialization: Termination, Reproducibility, Robustness
by: Giordano, Luca, et al.
Published: (2025)
by: Giordano, Luca, et al.
Published: (2025)
Beyond Questions: Evaluating What Large Language Models (Actually) Know
by: Giordano, Luca, et al.
Published: (2026)
by: Giordano, Luca, et al.
Published: (2026)
Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art
by: Ikoma, Hayato, et al.
Published: (2025)
by: Ikoma, Hayato, et al.
Published: (2025)
ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos
by: Giedemann, Patrick, et al.
Published: (2025)
by: Giedemann, Patrick, et al.
Published: (2025)
Towards Better Evaluation for Generated Patent Claims
by: Jiang, Lekang, et al.
Published: (2025)
by: Jiang, Lekang, et al.
Published: (2025)
PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims
by: Yoo, Yongmin, et al.
Published: (2025)
by: Yoo, Yongmin, et al.
Published: (2025)
Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents
by: Singhania, Sneha, et al.
Published: (2024)
by: Singhania, Sneha, et al.
Published: (2024)
Cultural Commonsense Knowledge for Intercultural Dialogues
by: Nguyen, Tuan-Phong, et al.
Published: (2024)
by: Nguyen, Tuan-Phong, et al.
Published: (2024)
PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination
by: Lim, Hyunseung, et al.
Published: (2025)
by: Lim, Hyunseung, et al.
Published: (2025)
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context
by: Kleinle, Steffen, et al.
Published: (2024)
by: Kleinle, Steffen, et al.
Published: (2024)
CinPatent: Datasets for Patent Classification
by: Nguyen, Minh-Tien, et al.
Published: (2022)
by: Nguyen, Minh-Tien, et al.
Published: (2022)
Adaptive Cost-Efficient Evaluation for Reliable Patent Claim Generation
by: Yoo, Yongmin, et al.
Published: (2026)
by: Yoo, Yongmin, et al.
Published: (2026)
ClaimBrush: A Novel Framework for Automated Patent Claim Refinement Based on Large Language Models
by: Kawano, Seiya, et al.
Published: (2024)
by: Kawano, Seiya, et al.
Published: (2024)
AutoPatent: A Multi-Agent Framework for Automatic Patent Generation
by: Wang, Qiyao, et al.
Published: (2024)
by: Wang, Qiyao, et al.
Published: (2024)
Can Large Language Models Generate High-quality Patent Claims?
by: Jiang, Lekang, et al.
Published: (2024)
by: Jiang, Lekang, et al.
Published: (2024)
GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge
by: Hu, Yujia, et al.
Published: (2025)
by: Hu, Yujia, et al.
Published: (2025)
Enabling LLM Knowledge Analysis via Extensive Materialization
by: Hu, Yujia, et al.
Published: (2024)
by: Hu, Yujia, et al.
Published: (2024)
The Master-Slave Encoder Model for Improving Patent Text Summarization: A New Approach to Combining Specifications and Claims
by: Zhou, Shu, et al.
Published: (2024)
by: Zhou, Shu, et al.
Published: (2024)
DORE: A Dataset For Portuguese Definition Generation
by: Furtado, Anna Beatriz Dimas, et al.
Published: (2024)
by: Furtado, Anna Beatriz Dimas, et al.
Published: (2024)
ClaimPT: A Portuguese Dataset of Annotated Claims in News Articles
by: Campos, Ricardo, et al.
Published: (2026)
by: Campos, Ricardo, et al.
Published: (2026)
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
by: Cao, Rui, et al.
Published: (2025)
by: Cao, Rui, et al.
Published: (2025)
Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
by: Jaumann, Christian, et al.
Published: (2025)
by: Jaumann, Christian, et al.
Published: (2025)
AutoSpec: An Agentic Framework for Automatically Drafting Patent Specification
by: Shea, Ryan, et al.
Published: (2025)
by: Shea, Ryan, et al.
Published: (2025)
Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
by: Ghosh, Shrestha, et al.
Published: (2025)
by: Ghosh, Shrestha, et al.
Published: (2025)
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)
SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verification
by: Kumar, Sujit, et al.
Published: (2025)
by: Kumar, Sujit, et al.
Published: (2025)
Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text
by: Blume, Matthias, et al.
Published: (2024)
by: Blume, Matthias, et al.
Published: (2024)
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
by: Gao, Xiaochen Kev, et al.
Published: (2024)
by: Gao, Xiaochen Kev, et al.
Published: (2024)
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews
by: Jaumann, Christian, et al.
Published: (2025)
by: Jaumann, Christian, et al.
Published: (2025)
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
by: Zhou, Siying, et al.
Published: (2025)
by: Zhou, Siying, et al.
Published: (2025)
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering
by: Zhou, Wei, et al.
Published: (2024)
by: Zhou, Wei, et al.
Published: (2024)
Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering
by: Zhou, Wei, et al.
Published: (2025)
by: Zhou, Wei, et al.
Published: (2025)
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation
by: Zhou, Wei, et al.
Published: (2025)
by: Zhou, Wei, et al.
Published: (2025)
Similar Items
-
Pap2Pat: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs
by: Knappich, Valentin, et al.
Published: (2024) -
Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
by: Knappich, Valentin, et al.
Published: (2026) -
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
by: Schrader, Timo Pierre, et al.
Published: (2024) -
A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving
by: Schrader, Timo Pierre, et al.
Published: (2025) -
Patent-CR: A Dataset for Patent Claim Revision
by: Jiang, Lekang, et al.
Published: (2024)