Jul 24, 2026
MIRROR: Learning from the Other View for Multi-Modal Reasoning
MIRROR: Learning from the Other View for Multi-Modal Reasoning Vision-language models (VLMs) often struggle with reasoning, even when the information provide...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Jul 24, 2026
ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders
ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders The rise of "vibe-coding"—where developers start with a high-level idea rather than a de...
Jul 24, 2026
Expert Behavior Prior Reinforcement Learning
Expert Behavior Prior Reinforcement Learning This paper introduces the Expert Behavior Prior (EBP) algorithm, a new approach designed to improve the efficien...
Jul 24, 2026
OpenForgeRL: Train Harness-native Agents in Any Environment
Modern AI agents are increasingly powerful, but they are often wrapped in complex "inference harnesses"—software scaffolds that manage multi-turn reasoning,...
Jul 24, 2026
Regulating autonomous and agentic AI
Regulating autonomous and agentic AI The paper "Regulating autonomous and agentic AI" examines the growing disconnect between traditional regulatory framewor...
Jul 23, 2026
Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model
Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model This research investigates whether large language model...
Jul 23, 2026
SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data
SoftReason is a new architecture designed to bridge the gap between neural perception—how computers "see" and interpret high-dimensional data like images—and...
Jul 23, 2026
TRUST-ESD: A Risk-Calibrated and Governance-Aware AI Framework for Enterprise Strategic Decision Support Under Uncertainty
TRUST-ESD is a framework designed to help enterprises make better strategic decisions when facing uncertainty.
Jul 23, 2026
Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations
Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations This paper investigates a critical flaw in how we currently...
Jul 23, 2026
EvoDRC: A Self-Evolving Agentic Framework for Automated DRC Violation Repair
EvoDRC is an automated framework designed to solve a major bottleneck in semiconductor manufacturing: Design Rule Check (DRC) closure.
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