Papers

• Agentic Control Center for Data Product Optimization

  Georgia Tech

  Published on: 2026-03-10 6 authors
• Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data

  Imperial College London

  Published on: 2026-03-09 7 authors
• DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models

  Massachusetts Institute of Technology, Tübingen AI Center, University of Tübingen

  Published on: 2026-03-06 4 authors
• AI+HW 2035: Shaping the Next Decade

  Agentrys, Brown University, California Institute of Technology, Carnegie Mellon University, Hewlett Packard Labs, New York University, Princeton University, Stanford University, University at Buffalo, University of California, University of Illinois Urbana-Champaign, University of Pennsylvania, University of Texas

  Published on: 2026-03-05 30 authors
• SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection

  Auburn University, Wichita State University

  Published on: 2026-03-05 5 authors
• SOFAI-LM: A Cognitive Architecture for Building Efficient and Reliable Reasoning Systems with LLMs

  Published on: 2026-01-20 1 author
• IBM Granite 4.0: hyper-efficient, high performance hybrid models for enterprise

  Published on: 2025-10-02 1 author
• Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

  ETH Zurich

  Published on: 2023-04-06 1 author
• Why we built an AI supercomputer in the cloud

  Published on: 2023-02-07 1 author
• AGENT: A Benchmark for Core Psychological Reasoning

  Harvard University

  Published on: 2021-07-18 1 author
• An autonomous debating system (Project Debater)

  Published on: 2021-03-17 1 author
• The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

  Massachusetts Institute of Technology, The University of Tokyo

  Published on: 2019-04-26 1 author
• AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

  Published on: 2018-10-03 1 author