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 |
Maybe you are reading this because you have a "case" that everyone else has given up on. Perhaps it is a wayward son or daughter, a terminal illness, or a legal battle. Do not lose heart.
St. Jude Thaddeus, also known as the Apostle of Hope, is a revered saint in the Catholic Church. He is often invoked in times of difficulty and hopelessness. The St. Jude Novena is a powerful prayer devotion that consists of nine days of prayer, seeking the intercession of St. Jude. In this report, we will explore the significance of the St. Jude Novena in Malayalam, a language spoken in the Indian state of Kerala. st jude novena in malayalam
ഈ ലേഖനത്തിൽ, വിശുദ്ധ യൂദാശ്ലീഹായോടുള്ള നൊവേനയുടെ പ്രാധാന്യവും, അത് ചൊല്ലേണ്ട രീതിയും, മലയാളത്തിലുള്ള പൂർണ്ണരൂപവും താഴെ നൽകുന്നു. Maybe you are reading this because you have
നന്മ നിറഞ്ഞ മറിയമേ (1 തവണ) ത്രിത്വസ്തുതി (1 തവണ) The St
For Malayalis, St. Jude holds a special place. Many of our churches have altars dedicated to him. We light the green flame candles (പച്ച മെഴുകുതിരി) to signify hope and new life.
Hope in Desperate Times: The Power of the St. Jude Novena in Malayalam Published: [Current Date] Category: Prayer & Devotion
വിശുദ്ധ യൂദാശ്ലീഹായുടെ അത്ഭുതകരമായ മാധ്യസ്ഥം വഴി നിങ്ങൾ പ്രാർത്ഥിക്കുന്ന കാര്യങ്ങൾ സാധ്യമാകട്ടെ. Novena - St. Jude Syro Malabar Catholic Church
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.