Dynasty Warriors 9 Save Editor

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.

dynasty warriors 9 save editor
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.

dynasty warriors 9 save editor 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.

dynasty warriors 9 save editor 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

Dynasty Warriors 9 Save Editor

Save editors for DW9 exist when the community has reverse-engineered the save format; they enable powerful single-player modifications but carry risks (corruption, bans, malware). Proceed with backups, caution, and reputable sources.

Dynasty Warriors 9 relies heavily on its progression loop. Instantly granting yourself the best weapons, max levels, and unlimited gold can cause the open-world map to feel empty, stripping away the satisfaction of earning rewards naturally. Conclusion

Under the tab, toggle Keep games saves in the Steam Cloud to OFF .

Dynasty Warriors 9 (DW9) , players generally look for save editors to bypass the heavy grinding for gold, experience, and high-tier materials required in its open-world setting. While a dedicated, all-in-one "DW9 Save Editor" application is less common than for previous titles like DW8, there are several reliable methods and tools used by the community to modify save data on both PC and PlayStation. Key Tools and Methods dynasty warriors 9 save editor

before attempting manual edits to avoid corrupting your game progress. Popular Modifications Users typically use these editors to achieve the following:

Modding saves on Xbox One/Series X is virtually impossible due to encrypted cloud saves. Nintendo Switch editing requires a physically hacked/homebrew console to extract the save file using a tool like JKSV, which can then be edited via PC hex applications. Step-by-Step Guide: How to Safely Edit Your Save

There is no direct editor for native PS5 saves. You must use the PS4 version of the game and edit the save via Save Wizard before transferring it to the PS5. Key Features of Editors Most DW9 editing tools allow you to modify: : Infinite gold, upgrade materials, and rare gems. Officer Stats : Maximize level, health, and attack power. Save editors for DW9 exist when the community

Launch the program, click "Open," and direct it to your active savedata.bin file.

Toggle the options you want (such as "Infinite Materials") while standing near a shop or blacksmith in-game.

Turn off Steam Cloud Sync while editing to prevent the cloud from reverting your modified save to the old version. Instantly granting yourself the best weapons, max levels,

While DW9 is primarily single-player, any online component could detect modified data. Conclusion

: Adjust officer levels, upgrade points, and even "bond" levels with other officers. Quick Start: Editing on PC Guide :: DW9: Using CheatEngine to make Custom Gems

Before attempting to modify any save file, it is vital to follow strict data-handling protocols to avoid permanently ruining your progress. Step 1: Backup Your Original Save Data

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.