Cover Image

Missing vs. Unused Knowledge Hypothesis for Language Model Bottlenecks in Patent Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Siyang, Bao, Honglin, Kunievsky, Nadav, Evans, James A.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computers and Society Digital Libraries Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Language Models Should be Used to Surface the Unwritten Code of Science and Society
by: Bao, Honglin, et al.
Published: (2025)

Tracing the Evolution of Word Embedding Techniques in Natural Language Processing
by: Nguyen, Minh Anh, et al.
Published: (2026)

SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Models
by: Bao, Tong, et al.
Published: (2025)

Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models
by: Tian, Yifan, et al.
Published: (2024)

Matching Meaning at Scale: Evaluating Semantic Search for 18th-Century Intellectual History through the Case of Locke
by: Wu, Yu, et al.
Published: (2026)

Linguistic and Structural Basis of Engineering Design Knowledge
by: Siddharth, L., et al.
Published: (2023)

Using General Large Language Models to Classify Mathematical Documents
by: Ion, Patrick D. F., et al.
Published: (2024)

Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
by: Susnjak, Teo, et al.
Published: (2024)

Enhancing Academic Paper Recommendations Using Fine-Grained Knowledge Entities and Multifaceted Document Embeddings
by: Xi, Haixu, et al.
Published: (2026)

Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact
by: Zhao, Yi, et al.
Published: (2026)

High-performance automated abstract screening with large language model ensembles
by: Sanghera, Rohan, et al.
Published: (2024)

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis
by: Yu, Jianxiang, et al.
Published: (2024)

Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI
by: Wu, Wenqing, et al.
Published: (2026)

KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery
by: Tanaka, Shinnosuke, et al.
Published: (2024)

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
by: Wu, Wenqing, et al.
Published: (2026)

Legal Knowledge Graph Foundations, Part I: URI-Addressable Abstract Works (LRMoo F1 to schema.org)
by: de Martim, Hudson
Published: (2025)

SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
by: Qin, Chuan, et al.
Published: (2025)

C$^2$-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
by: Yu, Yue, et al.
Published: (2025)

EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates
by: Moncla, Ludovic, et al.
Published: (2026)

Enhancing Keyphrase Extraction from Academic Articles Using Section Structure Information
by: Zhang, Chengzhi, et al.
Published: (2025)

Automatic Construction of a Legal Citation Graph from 100 Million Ukrainian Court Decisions: Large-Scale Extraction, Topological Analysis, and Ontology-Driven Clustering
by: Ovcharov, Volodymyr
Published: (2026)

Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
by: Klimczak, Jakub, et al.
Published: (2024)

Beyond Paper-to-Paper: Structured Profiling and Rubric Scoring for Paper-Reviewer Matching
by: Pan, Yicheng, et al.
Published: (2026)

Are some books better than others?
by: Rosenbusch, Hannes, et al.
Published: (2025)

TOPICAL: TOPIC Pages AutomagicaLly
by: Giorgi, John, et al.
Published: (2024)

Multi-Disciplinary Dataset Discovery from Citation-Verified Literature Contexts
by: Tan, Zhiyin, et al.
Published: (2026)

Citation Recommendation based on Argumentative Zoning of User Queries
by: Ma, Shutian, et al.
Published: (2025)

SciNLP: A Domain-Specific Benchmark for Full-Text Scientific Entity and Relation Extraction in NLP
by: Duan, Decheng, et al.
Published: (2025)

Loci Similes: A Benchmark for Extracting Intertextualities in Latin Literature
by: Schelb, Julian, et al.
Published: (2026)

Enhancing Unsupervised Keyword Extraction in Academic Papers through Integrating Highlights with Abstract
by: Xiang, Yi, et al.
Published: (2026)

Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
by: Zhang, Heng, et al.
Published: (2025)

VADIS -- a VAriable Detection, Interlinking and Summarization system
by: Kartal, Yavuz Selim, et al.
Published: (2023)

Using Bibliometrics to Detect Unconventional Authorship Practices and Examine Their Impact on Global Research Metrics, 2019-2023
by: Meho, Lokman I., et al.
Published: (2024)

Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models
by: Ni, Chunhe, et al.
Published: (2024)

Utilizing citation index and synthetic quality measure to compare Wikipedia languages across various topics
by: Lewoniewski, Włodzimierz, et al.
Published: (2025)

Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models
by: Kelber, Florian, et al.
Published: (2026)

Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base
by: An, Zhiyu, et al.
Published: (2024)

Knowledge Graphs Generation from Cultural Heritage Texts: Combining LLMs and Ontological Engineering for Scholarly Debates
by: Schimmenti, Andrea, et al.
Published: (2025)

A Document-based Knowledge Discovery with Microservices Architecture
by: Gidey, Habtom Kahsay, et al.
Published: (2024)

Factual Inconsistencies in Multilingual Wikipedia Tables
by: Cappa, Silvia, et al.
Published: (2025)