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Are LLMs following the correct reasoning paths?


University of California, Davis University of Pennsylvania   ▶ University of Southern California

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.

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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.

petlust com farm videos tested extra quality 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.

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Animal welfare applies to . Core principles include:

Recognizing poor quality of life involves tracking the "good days vs. bad days." The (Hurt, Hunger, Hydration, Hygiene, Happiness, Mobility, More good days than bad) is a clinical tool used by vets to determine if an animal is suffering. If your pet is only experiencing pleasure for two hours a day, you are keeping them alive for you , not for them.

: Ensuring constant access to fresh water and nutrition that meets the animal's specific life stage and health needs. Ability to Exhibit Normal Behavior

Welfare is measured through established frameworks that ensure an animal's physical and psychological needs are met. The Five Freedoms

Students and aspiring farmers use these videos to understand animal husbandry, crop rotation, and the mechanics of modern machinery.

High-quality directional microphones that capture the natural ambiance of the farm without wind distortion.

The first day of filming began with a visit to the goat enclosure. Emily and her team had heard about a mischievous goat named Billy, who loved to play pranks on the farmhands. As they set up their cameras, Billy didn't disappoint. He leaped onto a pile of hay, did a few impressive flips, and even photobombed a few shots with his playful snorts.

petlust com farm videos tested extra quality Analyses and discussion

Animal welfare applies to . Core principles include:

Recognizing poor quality of life involves tracking the "good days vs. bad days." The (Hurt, Hunger, Hydration, Hygiene, Happiness, Mobility, More good days than bad) is a clinical tool used by vets to determine if an animal is suffering. If your pet is only experiencing pleasure for two hours a day, you are keeping them alive for you , not for them.

: Ensuring constant access to fresh water and nutrition that meets the animal's specific life stage and health needs. Ability to Exhibit Normal Behavior

Welfare is measured through established frameworks that ensure an animal's physical and psychological needs are met. The Five Freedoms

Students and aspiring farmers use these videos to understand animal husbandry, crop rotation, and the mechanics of modern machinery.

High-quality directional microphones that capture the natural ambiance of the farm without wind distortion.

The first day of filming began with a visit to the goat enclosure. Emily and her team had heard about a mischievous goat named Billy, who loved to play pranks on the farmhands. As they set up their cameras, Billy didn't disappoint. He leaped onto a pile of hay, did a few impressive flips, and even photobombed a few shots with his playful snorts.

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.