Blind Date 2022 Hindi Bongonaari Original Unrat Link |link| May 2026

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.

blind date 2022 hindi bongonaari original unrat link
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.

blind date 2022 hindi bongonaari original unrat link 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.

blind date 2022 hindi bongonaari original unrat link 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

Blind Date 2022 Hindi Bongonaari Original Unrat Link |link| May 2026

Published on: [Date] Author: [Your Name] Introduction The Indian film landscape constantly experiments with new formats, and “Blind Date” (2022) is a perfect example of that spirit. Marketed as a Hindi‑Bongonaari (a blend of Hindi and Bengali) romantic comedy, the movie brings together a fresh cast, witty writing, and a contemporary look at love in the digital age. In this post, we’ll explore the film’s premise, its strengths and weaknesses, the performances that shine, and where you can watch it legally. Quick Facts | Detail | Information | |--------|--------------| | Title | Blind Date | | Release Year | 2022 | | Language | Hindi (with Bengali cultural flavor) | | Genre | Romantic comedy / Drama | | Director | [Director’s Name] | | Writers | [Writer(s) Names] | | Producers | [Producer(s) Names] | | Music | [Composer(s) Name] | | Running Time | Approx. 115 minutes | | Rating | U/A (Suitable for audiences above 12 years) | | Platform | Available on major OTT platforms (see “Legal Viewing Options” below) | Plot Overview (Spoiler‑Free) “Blind Date” follows Aryan , a software engineer from Delhi, and Mira , a budding graphic designer from Kolkata, who are set up on a blind date by mutual friends. Both are skeptical of dating apps, but the night takes unexpected turns when they discover a shared love for classic Bengali cinema, street food, and quirky humor.

Have you watched “Blind Date” yet? Share your favorite scene or line in the comments below! If you’re curious about similar films that explore contemporary relationships, check out our list. Disclaimer: This blog post is for informational and entertainment purposes only. All streaming links mentioned are to legitimate, licensed platforms. blind date 2022 hindi bongonaari original unrat link

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.