Rina Ellis Interview Here

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.

rina ellis interview
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.

rina ellis interview 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.

Rina Ellis Interview Here

Rina’s entry into the industry was born out of a desire for adventure and financial freedom. After college, she moved to Europe to travel, supporting her journey through cam modeling. In her own words, she was a "young curious individual who takes risks" and knew early on that a conventional job wouldn't suit her.

A detailed Q&A where she discusses the business side of her career, offering a roadmap for how she built her brand and transitioned into being her own boss. Key Insights & Advice from Rina Ellis

As our time winds down, I ask Rina what advice she has for other young artists trying to break through the noise without losing their soul.

Today, Rina Ellis continues to be a influential voice for performers navigating career transitions. Whether she is discussing the "tabooed world" of the industry on Cam Model Protection or sharing glimpses of her life on , her focus remains on professional autonomy and the empowerment of fellow creators.

Her latest single, "Internet Crush (Delete Later)" is a masterclass in this tension. The chorus is sticky and sweet, but the bridge descends into glitched-out screaming. It’s about the horror of modern dating—swiping, matching, ghosting.

Rina Ellis has been labeled hyperpop , glitchcore , and even digicore . When I ask which label fits, she winces.

To sustain a brand, you must genuinely enjoy what you are doing. Business Growth & Networking:

We sat down with her to discuss career longevity, the evolution of the industry, and the importance of creative control.

rina ellis interview Analyses and discussion

Rina’s entry into the industry was born out of a desire for adventure and financial freedom. After college, she moved to Europe to travel, supporting her journey through cam modeling. In her own words, she was a "young curious individual who takes risks" and knew early on that a conventional job wouldn't suit her.

A detailed Q&A where she discusses the business side of her career, offering a roadmap for how she built her brand and transitioned into being her own boss. Key Insights & Advice from Rina Ellis

As our time winds down, I ask Rina what advice she has for other young artists trying to break through the noise without losing their soul. rina ellis interview

Today, Rina Ellis continues to be a influential voice for performers navigating career transitions. Whether she is discussing the "tabooed world" of the industry on Cam Model Protection or sharing glimpses of her life on , her focus remains on professional autonomy and the empowerment of fellow creators.

Her latest single, "Internet Crush (Delete Later)" is a masterclass in this tension. The chorus is sticky and sweet, but the bridge descends into glitched-out screaming. It’s about the horror of modern dating—swiping, matching, ghosting. Rina’s entry into the industry was born out

Rina Ellis has been labeled hyperpop , glitchcore , and even digicore . When I ask which label fits, she winces.

To sustain a brand, you must genuinely enjoy what you are doing. Business Growth & Networking: A detailed Q&A where she discusses the business

We sat down with her to discuss career longevity, the evolution of the industry, and the importance of creative control.

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.