[top] - Bodypump 82 Choreography Notes Pdf Better

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.

bodypump 82 choreography notes pdf better
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.

bodypump 82 choreography notes pdf better 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.

bodypump 82 choreography notes pdf better 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

[top] - Bodypump 82 Choreography Notes Pdf Better

– Uses a mix of overhead extensions, kickbacks, and dips to fatigue all three heads of the muscle.

Shifts between 2/2 or 3/1 rhythms into faster singles or pulses to maximize time under tension.

Released in mid-2012, BodyPump 82 is often remembered by instructors for its high-energy "epic" tracks and a notoriously challenging lunge sequence. The choreography notes serve as a technical blueprint, detailing the specific counts, tempos, and coaching cues required to master this release. Release Highlights & Workout Summary

Your final product should be a living document. Here's how to build it: bodypump 82 choreography notes pdf better

| Track | Muscle | Key Fix | |-------|--------|---------| | 2 | Quads | Don’t round lower back | | 3 | Chest | Control eccentric | | 5 | Triceps | Elbows in | | 7 | Glutes | Step wide enough |

This release focuses on traditional strength with significant "time under tension" and heart-rate spikes. The "Epic" Tracks: The Back track ( Bring Me To Life ) and Shoulders track ( Be Cool 2011

It is recommended to add 1kg extra to your barbell compared to your bicep weight due to the integrated leg movements. – Uses a mix of overhead extensions, kickbacks,

The hardest part of BodyPump 82 isn't the exercises themselves, but the fast transitions between equipment (like moving from bar work to hand weights in the shoulder track). Practice setting your equipment up efficiently to eliminate dead time in your class.

This track uses explosive movements to drive the heart rate up, emphasizing the hip drive during the Clean & Press. Track 5: Triceps (Domino) Focus: Arm definition. Key Moves: Tricep Extensions, Presses, and Bench Dips.

BODYPUMP 133 Choreography Notes and Instructor Guide - Studocu The choreography notes serve as a technical blueprint,

To create truly effective notes, you need more than a tracklist. You need the nuance. While full choreography notes are restricted, here are the core elements and specific cues for each track that you should include in your "better" PDF.

BodyPump 82 is widely considered one of the most effective and high-energy releases in the Les Mills library, known for its challenging tracks and "The Rep Effect" focus. This write-up breaks down the structure and key focuses of the choreography to help you master the movements and coaching cues. Release Overview

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.