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Language-model groups overstate consensus when replaying human deliberation on a reasoning task This research investigates whether groups of Large Language M...
A Qualitative Model for Reasoning about Path and Support This paper introduces a hybrid AI model designed to help bridge the gap between human-like spatial r...
Refuse, Decompose, Refresh: A Claim-Safe Protocol for Closed-Loop AI Evaluation addresses a fundamental problem in AI testing: benchmarks can be perfectly re...
Solving Minimum Span Antibandwidth and Cyclic Antibandwidth Labeling Problems introduces a new way to approach two classic, difficult graph-labeling challeng...
PAA: The Probabilistic Allen Algebra introduces a new way to handle temporal reasoning when the timing of events is uncertain.
Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model This paper addresses the challenge of reconstr...
MTVA-Bench: Evaluating the Language Model Inside Cascaded Voice Agents Most modern voice agents operate as "cascaded" systems: an ASR model transcribes audio...
SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness As AI coding agents move from simple tasks to complex, around-the-clock autonomou...
Perception, Layout, and Validation: Calibrated Confidence for Reliable Straight-Through Processing of Financial Documents Financial institutions rely on "str...
Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models Activation steering is a technique used to change how Large Lang...
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