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Video understanding and self-verification for AI agents. Turn videos, streams, and agent screen recordings into searchable, timestamped evidence—then use THE LO
Recent robot foundation models operate with single-step or short-history visuomotor context. We introduce Test-Time-Training Robot Policies (RoboTTT), a robot m
This research investigates the potential of Vision-Language Models (VLMs) to infer building typologies: Construction, Current Use, and Storeys from Google Stree
Large language models (LLMs) frequently contradict themselves when the surface form of a logically equivalent question changes. We present a benchmark of 350 qu
Large Language Models (LLMs) have accelerated the adoption of software development agents, now widely available as Integrated Development Environment (IDE) exte
Large Language Models (LLMs) are increasingly being used in everyday software engineering tasks, particularly in automated code generation. Despite their widesp
Containerization has become increasingly essential in the machine learning (ML) domain, providing reproducibility, portability, and environment consistency. Whi
Low-bit GEMM is increasingly central to efficient ML inference, yet very-low-bit execution remains a poor fit for conventional CPUs. Practical deployment spans
Recent advances in LLMs and existing work on programming by demonstration have made it possible for end users to create automations by explicitly demonstrating
Brain tumor progression exhibits spatially heterogeneous growth, patient-specific treatment response, and complex interactions with surrounding anatomy, making
SMT-based program verifiers are hamstrung by two problems: expressiveness, because predictable verification restricts to the boundaries of SMT decidability, and
Reinforcement learning with verifiable rewards (RLVR) optimizes LLMs using sparse verifiable final-answer rewards. This sparse anchor reliably verifies whether
Crime linkage analysis is used in many countries to identify series of offences that may have been committed by the same individual. In practice, specialist ana
Large Language Models are reshaping how software is developed and maintained. They are typically deployed in production using inference engines such as vLLM, wh
A field guide to the visual & copy tics of AI-generated products — and an Agent Skill that scans your project and strips them out. https://killaislop.com
Multi-step retrosynthesis planning seeks to decompose a target molecule into commercially available building blocks through a sequence of feasible reactions. Th