arXiv AI
Jun 26
Patent Representation Learning via Self-supervision
arXiv:2511. 10657v2 Announce Type: replace-cross Abstract: We study self-supervised patent representation learning with contrastive objectives.
Modeling Claim Dependency Structure for Patent Litigation Prediction with Graph Attention Networks
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Hugging Face Trending Papers
Jul 11
When Reasoning Hurts Legal Drafting: The Verbalization Bottleneck in Patent Claim Generation
Patent claim drafting is a challenging legal drafting task that requires technical expertise, precise linguistic control, strict adherence to formal conventions, and the preservation of complex logical relationships among claim elements. While Chain-of-Thought (CoT) prompting has been widely used to improve the reasoning capabilities of large language models (LLMs), recent evidence suggests that its benefits may be limited, or even negative, in highly structured or pattern-sensitive tasks.
arXiv AI
Jul 13
PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation
arXiv:2607. 09094v1 Announce Type: cross Abstract: Legal precedent retrieval is a fundamental task in legal case preparation, planning, litigation strategy, and legal research.
arXiv AI
Jun 2
A Framework for Graph-Conditioned Hierarchical Shapley Attribution in Patent Valuation
arXiv:2606. 01632v1 Announce Type: cross Abstract: Estimating the economic contribution of a single patent inside a product that embodies tens of thousands of patents is a long-standing unsolved problem in intellectual property economics.
arXiv AI
Jun 18
Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks
arXiv:2602. 19591v3 Announce Type: replace-cross Abstract: Small and Medium Enterprises (SMEs) constitute 99.
arXiv Machine Learning
Jul 23
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification
arXiv:2607. 19385v1 Announce Type: new Abstract: This paper tackles the problem of stock ranking and portfolio construction under realistic investment settings by jointly modeling temporal dynamics and cross-sectional dependencies.
arXiv Computation and Language
3d ago
Benchmarking Patent Drafting from Inventor-Style Disclosures
arXiv:2608.21249v1 Announce Type: new Abstract: While recent large language models (LLMs) have achieved promising results on individual patent drafting tasks, they fundamentally fail to investigate t...
arXiv AI
Jun 24
Legal Reasoning Is Not Lawyering: Rethinking Legal Benchmarks for Pro Se Access to Justice
arXiv:2606. 23716v1 Announce Type: cross Abstract: Legal AI benchmark research frequently invokes the assumption that large language models can improve access to justice, including for people who cannot access lawyers in order to understand and exercise their legal rights.
arXiv AI
Jul 7
From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control
arXiv:2607. 03325v1 Announce Type: cross Abstract: We present an automated pipeline that decomposes Italian tax-court judgments into individual legal issues and extracts, for each issue, a structured XML representation grounded in the IRAC framework and the legal syllogism.
arXiv AI
Jul 14
From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory
arXiv:2607. 11347v1 Announce Type: new Abstract: Neural networks increasingly guide decisions in high-stakes domains such as medical diagnosis, credit approval, and energy bidding.
arXiv AI
Jun 30
From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability
arXiv:2606. 28353v1 Announce Type: cross Abstract: Linking FDA-approved medical devices to their underlying United States Patent and Trademark Office (USPTO) patents enables critical applications such as recall root-cause analysis, M&A-driven IP discovery, and technology trajectory mapping.
arXiv AI
Jun 24
Cycle-Consistent Neural Explanation of Formal Verification Certificates
arXiv:2606. 24414v1 Announce Type: new Abstract: Formal verification produces machine-checkable certificates that attest to the satisfaction or violation of temporal properties, yet these certificates remain opaque to non-specialist stakeholders.