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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.

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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.

choti choti ladki ki sexy nangi photo hot 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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The portrayal of young romance, often referred to in South Asian pop culture as "choti choti ladki" (young girl) storylines, is a staple of television dramas and coming-of-age cinema. These narratives focus on the innocence, intensity, and eventual growth that comes with first love.

In South Asian media, these storylines often tackle "traditional vs. modern" values. They explore how young women negotiate their personal desires within the framework of family honor. When written well, these dramas can challenge stereotypes and promote healthier, more communicative relationship models for the younger generation. Final Thoughts choti choti ladki ki sexy nangi photo hot

Most romantic arcs involving younger characters follow a specific, successful formula: The portrayal of young romance, often referred to

Why do audiences of all ages tune in? Because everyone remembers their first crush. For younger viewers, these storylines act as a mirror to their own lives. For older viewers, they provide a nostalgic trip back to a time when life felt simpler, yet every small interaction felt like the end of the world. modern" values

The term "choti choti" (small/young) emphasizes the scale of the world these characters live in. A simple text message or a chance meeting at a wedding becomes a monumental event in their universe. 3. Themes of Personal Growth

These storylines aren't just about romance; they are about identity, social expectations, and the bittersweet process of growing up. 1. The Anatomy of the Storyline

choti choti ladki ki sexy nangi photo hot Analyses and discussion

The portrayal of young romance, often referred to in South Asian pop culture as "choti choti ladki" (young girl) storylines, is a staple of television dramas and coming-of-age cinema. These narratives focus on the innocence, intensity, and eventual growth that comes with first love.

In South Asian media, these storylines often tackle "traditional vs. modern" values. They explore how young women negotiate their personal desires within the framework of family honor. When written well, these dramas can challenge stereotypes and promote healthier, more communicative relationship models for the younger generation. Final Thoughts

Most romantic arcs involving younger characters follow a specific, successful formula:

Why do audiences of all ages tune in? Because everyone remembers their first crush. For younger viewers, these storylines act as a mirror to their own lives. For older viewers, they provide a nostalgic trip back to a time when life felt simpler, yet every small interaction felt like the end of the world.

The term "choti choti" (small/young) emphasizes the scale of the world these characters live in. A simple text message or a chance meeting at a wedding becomes a monumental event in their universe. 3. Themes of Personal Growth

These storylines aren't just about romance; they are about identity, social expectations, and the bittersweet process of growing up. 1. The Anatomy of the Storyline

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.