The EUREQA dataset
In EUREQA, every question is constructed through an implicit reasoning chain. The chain is constructed by parsing DBPedia. Each layer comprises three components: an entity, a fact about the entity, and a relation between the entity
and its counterpart from the next layer. The layers stack up to create chains with different depths of reasoning. We verbalize reasoning chains into natural sentences and anonymize the entity of each layer to create the question.
Questions can be solved layer by layer and each layer is guaranteed a unique answer. EUREQA is not a knowledge game: we adopt a knowledge filtering process that ensures that most LLMs have sufficient world knowledge to answer our questions.
EUREQA comprises a total of 2,991 questions of different reasoning depths and difficulties. The entities encompass a broad spectrum of topics, effectively reducing any potential bias arising from specific entity categories.
These data are great for analyzing the reasoning processes of LLMs
PerformanceHere we present the accuracy of ChatGPT, Gemini-Pro and GPT-4 on the hard set of EUREQA across different depths d of reasoning (number of layers in the questions). We evaluate two prompt strategies: direct zero-shot prompt and ICL with two examples. In general, with the entities recursively substituted by the descriptions of reasoning chaining layers, and therefore eliminating surface-level semantic cues, these models generate more incorrect answers. When the reasoning depth increases from one to five on hard questions, there is a notable decline in performance for all models. This finding underscores the significant impact that semantic shortcuts have on the accuracy of responses, and it also indicates that GPT-4 is considerably more capable of identifying and taking advantage of these shortcuts.
| depth | d=1 | d=2 | d=3 | d=4 | d=5 | |||||
| direct | icl | direct | icl | direct | icl | direct | icl | direct | icl | |
| ChatGPT | 22.3 | 53.3 | 7.0 | 40.0 | 5.0 | 39.2 | 3.7 | 39.3 | 7.2 | 39.0 |
| Gemini-Pro | 45.0 | 49.3 | 29.5 | 23.5 | 27.3 | 28.6 | 25.7 | 24.3 | 17.2 | 21.5 |
| GPT-4 | 60.3 | 76.0 | 50.0 | 63.7 | 51.3 | 61.7 | 52.7 | 63.7 | 46.9 | 61.9 |
To understand the device's controversy, it is vital to understand the mechanics it claims to use. The underlying theory proposed by manufacturers is that each of our body's 75 trillion cells emits specific electromagnetic waves as they grow, split, and renew. The theory posits that the frequency patterns of these waves indicate the health status of their associated organs or systems.
: Features include guided workflows, real-time signal quality checks, and the ability to export results to PDF, CSV, or XLSX formats. Scientific and Regulatory Context
The output of the Quantum Resonance Magnetic Analyzer Software 4.3.0 is only as good as the practitioner's ability to interpret it.
If the software shows a communication error, the user must open the Windows Device Manager, identify the USB Serial Port, and ensure it is assigned between COM1 and COM4. Important Usage Disclaimers
: Requires a USB encryption key (U-disk) to activate and run the software, ensuring authorized use. Operation Steps Enjoymart Quantum Resonance Magnetic Analyzer 4TH Software quantum resonance magnetic analyzer software 430 work
Designed for broader compatibility, Software 4.3.0 is optimized to run smoothly on Windows 7, Windows 8, and Windows 10 operating systems. It resolves many of the "driver error" bugs found in older versions (like 3.9 or 4.1), ensuring that the connection between the sensor and the PC remains stable throughout the 60-second scan.
: It is specifically optimized for Windows XP, Win7, Win8, and Windows 10. Security Lock
Understanding how the QRMA software version 4.3.0 operates requires a balance between examining its and acknowledging the scientific perspective of the broader medical community. Setup and Hardware Configuration
: A specialized USB security dongle (frequently called an encryption lock) must remain inserted into the PC for the software to launch. To understand the device's controversy, it is vital
Once the data enters the software via a USB connection, the core algorithm of version 4.3.0 takes over. The software contains a massive database built on clinical data, age groups, genders, and standard healthy frequency benchmarks.
The report typically presents data in three main formats:
Once the data is captured, the 4.3.0 software performs a comparative analysis. It features a vast internal database containing the standard "resonance spectra" for various health markers, including organ function, vitamin levels, bone density, and heavy metal toxicity. The software compares the signals received from the individual against these established norms. Deviations from the standard resonance frequency are interpreted as indicators of potential health issues or nutritional deficiencies.
[Start Program] ➔ [Insert USB Dongle] ➔ [Grip Sensor Rod] ➔ [Run 60-Second Scan] ➔ [Save Report] Important Usage Disclaimers : Requires a USB encryption
: The device captures the weak magnetic field frequencies of human cells.
: Within about 60 seconds, it produces reports covering over 30–50 health indicators, such as organ function (liver, kidney, lung), nutrient levels (vitamins, minerals), and potential sub-health conditions. m.media-amazon.com Key Features of Version 4.3.0 Comprehensive Scanning
Severe deviation from baseline; requires immediate clinical validation.
This website is adapted from Nerfies, UniversalNER and LLaVA, licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. We thank the LLaMA team for giving us access to their models.
Usage and License Notices: The data abd code is intended and licensed for research use only. They are also restricted to uses that follow the license agreement of LLaMA, ChatGPT, and the original dataset used in the benchmark. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.