Sep 11, 2026
Extending SMT Solving with Non-Ground Clause Learning
Satisfiability Modulo Theories (SMT) solvers are essential tools for automated reasoning, but they often struggle when dealing with complex, non-ground formu...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Sep 11, 2026
On the Regularization Landscape for the Linear Recommendation Models
On the Regularization Landscape for the Linear Recommendation Models This paper investigates why a wide variety of modern recommendation algorithms, despite...
Sep 11, 2026
Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government
Geospatial AI, Dataverse Metadata, and the Study of Place-Based Government This paper addresses a significant challenge in academic data management: the lack...
Sep 11, 2026
Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models
Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models Modern manufacturing requires systems tha...
Sep 11, 2026
Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning
Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning Large Language Models (LLMs) are powerful, but they often struggle with complex rea...
Sep 11, 2026
SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control
SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control introduces a new approach to industrial content moderation that prioritiz...
Sep 11, 2026
ActMap: Single-Pass Uncertainty Quantification from Generation-Time Activation Maps
ActMap: Single-Pass Uncertainty Quantification from Generation-Time Activation Maps Large language models often provide answers with high confidence, even wh...
Sep 11, 2026
From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessment
From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessment This paper addresses the challenge of makin...
Sep 11, 2026
From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge
From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge This research investigates how Large Language Models (LLMs) transition from pr...
Sep 11, 2026
From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development
From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development Chemistry, Manufacturing, and Controls (CMC) process d...
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