Rise Of The Guardians Internet Archive -

Are LLMs following the correct reasoning paths?

Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen,

▶ University of California, Davis ▶ University of Pennsylvania   ▶ University of Southern California
arXiv Code Dataset

We propose a novel probing method and benchmark called EUREQA. EUREQA is an entity-searching task where a model finds a missing entity based on described multi-hop relations with other entities. These deliberately designed multi-hop relations create deceptive semantic associations, and models must stick to the correct reasoning path instead of incorrect shortcuts to find the correct answer. Experiments show that existing LLMs cannot follow correct reasoning paths and resist the attempt of greedy shortcuts. Analyses provide further evidence that LLMs rely on semantic biases to solve the task instead of proper reasoning, questioning the validity and generalizability of current LLMs’ high performances.

rise of the guardians internet archive
LLMs make errors when correct surface-level semantic cues-entities are recursively replaced with descriptions, and the errors are likely related to token similarity. GPT-3.5-turbo is used for this example.

rise of the guardians internet archive The EUREQA dataset

Download the dataset from [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

Image 1
Categories of entities in EUREQA
Image 2
Splits of questions in EUREQA.

rise of the guardians internet archive Performance

Here 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

Rise Of The Guardians Internet Archive -

1050 words

Saved copies of prominent fanfiction repositories, ensuring that early 2010s transformative works are not permanently lost to server shutdowns.

: Includes preserved stories like "Bonds to the Believers," which explores the connections formed between the Guardians and children during the battle with Pitch. rise of the guardians internet archive

The Internet Archive, often known by its URL archive.org, is a non-profit digital library offering free universal access to knowledge. While it is famous for the Wayback Machine, for fandoms like Rise of the Guardians , it serves a more specific, vital function: it is the repository for the "orphaned" media that modern streaming services often forget.

Digital scans of promotional comic books, coloring pages, and theatrical standee designs that were distributed to movie theaters in the winter of 2012. Why the Internet Archive Matters for Animation History While it is famous for the Wayback Machine,

The film's visual style, which combined stunning animation with a vibrant color palette, was also widely praised. The movie's characters, including Jack Frost, a spirited and mischievous winter spirit, were well-developed and complex, adding depth to the story.

For Rise of the Guardians , a film whose central thesis revolves around the importance of being remembered and seen, its preservation on the Internet Archive is poetic. It ensures that future generations of animators and storytellers can access, study, and find inspiration in the Guardians' spirit of wonder, hope, and resilience. Share public link The movie's characters, including Jack Frost, a spirited

Directed by Peter Ramsey, Rise of the Guardians reimagined childhood mythic figures—Jack Frost, Santa Claus, the Tooth Fairy, the Easter Bunny, and the Sandman—as a superhero-style alliance protecting the children of the world from Pitch Black. The film stood out for several distinct reasons:

The Internet Archive, by contrast, treats films as historical documents. The fact that Rise of the Guardians has been downloaded over 1.2 million times from the Archive (as of 2025 internal trackers) proves that demand does not die; it merely migrates.

Acknowledgement

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.