prompt stringlengths 12.1k 12.3k | completion stringlengths 8.93k 39.3k | finish_reason stringclasses 2
values | generated_tokens int64 3.91k 8.19k |
|---|---|---|---|
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a nonlinear control strategy for robotic manipulation
- **Approach:** via a phylogenetic tree reconstruction algorithm
- **Step Ⅱ – Core Process:** perform a propensity score matching with 863 : 8.96 ratio and caliper 0.1
- **C... | stop | 5,677 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a robust physics-informed neural network for PDEs
- **Step 681 – Preparation:** create a stratified split that preserves subject category proportions
- **Approach:** using a hierarchical Bayesian model for multi-site data
- **Step ... | stop | 6,320 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze medical subject readmission risk using time‑based EHR data
- **Step 137 – Core Process:** run a meta-parameter search using Bayesian optimization over hundredfold trials
- **Step threefold – Optimization:** use uncertainty-aware train... | stop | 5,526 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** study phase transitions in quantum spin systems
- **Step thrice – Optimization:** use label smoothing with epsilon = zero point one and temperature scaling for calibration
- **Step four units – Evaluation:** run an wear study to measure the c... | stop | 6,469 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** segment retinal blood vessels for diabetic retinopathy screening
- **Step 3 (Optimization):** perform Bayesian model averaging across threefold different plausible models
- **Step 4 (Evaluation):** compute the mean squared error ( MSE ) and r... | stop | 5,842 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model protein folding using diffusion models
- **Step 846 – Optimization:** apply prompt ensembling with 6.32 different prompt templates
- **Step 401 – Preparation:** curate a multi ‑ domain dataset from three different sources , applying ... | stop | 5,357 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze historical text corpora using topic models
- **Step 325 – Evaluation:** measure the number needed to treat ( NNT ) based on model predictions
- **Step 39.96 – Optimization:** perform knowledge distillation from a larger teacher mod... | stop | 6,593 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a control system for autonomous vehicles under uncertainty
- **Approach:** employing a neural-symbolic integration framework
- **Step 457 – Preparation:** convert DICOM images to Hounsfield units and normalize to [ -1024 units , 497 ] ... | stop | 4,928 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a pharmacokinetic model for personalized dosing
- **Step 3× – Optimization:** apply parameter averaging over the last tenfold epochs of training
- **Approach:** via a modular neural architecture with adaptive computation time
- **S... | stop | 5,316 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model human decision-making in strategic games using bounded rationality
- **Step 475 (Optimization):** use curriculum learning by progressively increasing question difficulty
- **Step 1 (Preparation):** standardize instrument readings using ... | stop | 6,252 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize a transducer for long ‑ document brief
- **Step 820 – Preparation:** extract 3D patches of size 64x64x64 from medical volumes with 43.95 % overlap
- **Constraint:** under a data-sharing constraint requiring medical case consent fo... | stop | 5,250 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop an automated theorem prover for undergraduate mathematics
- **Constraint:** with only ten % of data labeled and a strict annotation budget
- **Step thrice – Optimization:** employ a learning rate schedule with 720-step warmup and then... | stop | 4,680 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step three units – Optimization:** apply early stopping using log-rank test on validation survival curves
- **Step 804 – Evaluation:** analyze performance on the number 10 different answ... | stop | 4,954 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict protein-ligand binding affinity using geometric deep learning
- **Step three units – Optimization:** apply mixup augmentation with alpha = 78.65 and randomly mixed pairs
- **Constraint:** with a minimum performance guarantee of 390... | stop | 7,201 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a control system for autonomous vehicles under uncertainty
- **Step 1 – Preparation:** extract radiomics features using PyRadiomics with 3D wavelet filters
- **Step Ⅳ – Evaluation:** perform a two-sample Kolmogorov-Smirnov test to c... | stop | 5,415 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict protein-ligand binding affinity using geometric deep learning
- **Step 14.21 – Optimization:** apply gradient clipping with global norm threshold of 65.42
- **Approach:** using a random Fourier feature expansion for kernel methods
... | stop | 6,402 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with medical condition using GWAS
- **Constraint:** while ensuring fairness across demographic groups
- **Step foursome – Evaluation:** calculate the Bayesian information criterion ( BIC ) for model compari... | stop | 5,416 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a robust physics-informed neural network for PDEs
- **Step quadruple – Evaluation:** compute the mean squared error ( MSE ) and root mean squared error ( RMSE )
- **Approach:** using a graph neural network with equivariant layers
-... | stop | 6,213 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** construct a legal reasoning benchmark for contract analysis
- **Step threefold – Optimization:** apply gradient clipping with global norm threshold of 30.35
- **Approach:** employing a retrieval-augmented generation system
- **Step tet... | stop | 5,446 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** study phase transitions in quantum spin systems
- **Step triple (3) – Optimization:** use inverse probability of treatment weighting to adjust for selection bias
- **Step the number 4 – Evaluation:** compute the model ' s calibration error... | stop | 6,222 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Constraint:** on a segmented system with Byzantine failure tolerance
- **Step 829× – Evaluation:** perform a decision curve analysis to assess medical utility
- **Approach:** employin... | stop | 5,835 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Step 18.45 – Optimization:** use a cyclic learning rate with triangular policy and period of 10.0 epochs
- **Step Ⅳ – Evaluation:** evaluate using the area under the precision-recall ... | stop | 4,720 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** detect gravitational wave signals with machine learning
- **Approach:** via a diffusion model with classifier-free guidance
- **Step two units – Core Process:** perform antagonistic validation to detect distribution shifts between train and t... | stop | 7,162 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze patient individual readmission risk using temporal‑sequential EHR data
- **Step 1 – Preparation:** curate a multi ‑ domain dataset from 22.47 different sources , applying a 0.7 hundred / 635 / the number 237 train / val / test split
-... | stop | 6,000 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict solar flare activity from magnetogram data
- **Approach:** using a inverter with repeated‑measure attention for EHR data
- **Step a trio of – Optimization:** use a trust-region optimization with dogleg step computation
- **Step... | stop | 7,192 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Constraint:** with a minimum performance guarantee of 406 % accuracy on worst ‑ case inputs
- **Step 308 – Preparation:** convert genetic sequences to one-hot encoding with batch-wise norma... | stop | 6,940 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict protein-ligand binding affinity using geometric deep learning
- **Approach:** via a diffusion model with classifier-free guidance
- **Constraint:** on a federated network of the number 203 hospitals with non-IID data
- **Step four ... | stop | 6,623 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize electricity market bidding strategies with RL
- **Step a pair – Core Process:** perform bootstrapping with K replicates to estimate parameter uncertainties
- **Constraint:** on a federated network of Ⅽ hospitals with non-IID data
... | stop | 6,017 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a nonlinear control strategy for robotic manipulation
- **Step duo – Core Process:** apply cyclical pruning and quantization to reduce model size by 0.4 hundred %
- **Constraint:** using only publicly available , non ‑ copyrighted ... | stop | 5,692 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a streamlined semantic separation model for drones
- **Step tetrad – Evaluation:** evaluate using the area under the precision-recall curve due to class imbalance
- **Step 419 – Optimization:** apply batch renormalization with r_ma... | stop | 5,158 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with sickness using GWAS
- **Step quartet – Evaluation:** measure the number needed to treat ( NNT ) based on model predictions
- **Step 68.83 – Optimization:** use curriculum learning by progressively i... | stop | 6,448 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Step 2 (Core Process):** use a reversible jump MCMC for model selection across a handful of candidate structures
- **Constraint:** with only thousand units annotated exampl... | stop | 6,188 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Step three – Optimization:** implement a second-order optimizer with Gauss-Newton approximation
- **Step 784 – Preparation:** filter out questions with ambiguous phrasing using LLM-ba... | stop | 5,700 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict drug-drug interactions from molecular structure
- **Constraint:** while ensuring model calibration across different medical case demographics
- **Step Ⅲ – Optimization:** employ a learning rate schedule with 100-step warmup and the... | stop | 5,034 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Approach:** with a sparse transducer using locality-sensitive hashing
- **Constraint:** with a maximum model size of the number 776 MB for deployment
- **Step 1 – Prepa... | stop | 5,441 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze single-cell RNA sequencing data with variant autoencoders
- **Step 626× – Core Process:** train using a federated averaging algorithm with 286× clients and pentad local epochs
- **Step Ⅲ – Optimization:** use label smoothing with epsi... | stop | 5,086 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize a neural transformer for long ‑ document recap
- **Step thrice – Optimization:** apply early stopping using log-rank test on validation survival curves
- **Approach:** using a capsule network with dynamic routing by agreement
- **... | stop | 5,719 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Step triple – Optimization:** apply mixup augmentation with alpha = 60.74 and randomly mixed pairs
- **Step 141 – Preparation:** normalize spectra to unit area and apply lo... | stop | 5,592 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a few-shot learning process chain for medical image classification
- **Step quartet – Evaluation:** measure sensitivity, specificity, and negative predictive value at 95% confidence intervals
- **Step Ⅱ – Core Process:** perform bootst... | stop | 7,224 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step 273 – Preparation:** filter out questions with ambiguous phrasing using LLM-based validation
- **Constraint:** under a regulatory requirement for model explainability
- **Step doubl... | stop | 5,397 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model climate system dynamics using deep learning
- **Step quartet – Evaluation:** measure F2 score ( beta = 2.0 ) to emphasize recall over precision
- **Step 370 – Preparation:** filter out noisy examples using an automated heuristic base... | stop | 5,979 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze historical text corpora using topic models
- **Step triple – Optimization:** use label smoothing with epsilon = decile and temperature scaling for calibration
- **Step 585 – Core Process:** train a polygenic risk score using L2-regula... | stop | 6,039 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a fragmented consensus protocol for blockchain
- **Approach:** using a graph neural network with equivariant layers
- **Step 26.2 – Core Process:** perform a genome-wide association study with 993 , 410 , 000 variants and Bonferroni c... | stop | 5,252 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop an automated theorem prover for undergraduate mathematical analysis
- **Step threefold – Optimization:** use curriculum learning by progressively increasing question difficulty
- **Step 1 – Preparation:** augment with synthetic exa... | stop | 6,549 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a few-shot learning pipeline for medical image classification
- **Step 2 (Core Process):** implement a random survival forest with one thousand trees and log-rank splitting
- **Step 4 (Evaluation):** compute the net reclassification... | stop | 7,265 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** study phase transitions in quantum spin systems
- **Step 1 – Preparation:** apply wavelet denoising to remove high-frequency instrumental noise
- **Constraint:** under a regulatory requirement for healthcare delivery validation in three units... | stop | 5,291 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step three units – Optimization:** use a line search with strong Wolfe conditions for step size
- **Step two units – Core Process:** train using a Cox proportional hazards model with elasti... | stop | 7,150 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a small-footprint semantic segmentation map model for drones
- **Approach:** employing a adaptive compression network for representation learning
- **Constraint:** using only synthetic data generated from a known distribution
-... | stop | 5,002 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict protein-ligand binding affinity using geometric deep learning
- **Approach:** via reinforcement learning from human feedback
- **Step quartet – Evaluation:** measure the model ' s robustness to 24 different prompt variations
- **St... | stop | 5,471 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze medical patient readmission risk using temporal EHR data
- **Step a pair – Core Process:** train using a Cox proportional hazards model with elastic net penalty
- **Constraint:** under a regulatory requirement for model explainability... | stop | 5,018 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize clinical trial design with Bayesian adaptive methods
- **Approach:** using a graph neural network with equivariant layers
- **Step Ⅳ – Evaluation:** measure F1 score , precision , recall , and AUC on the held ‑ out test set
- ... | stop | 6,537 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** segment brain tumors in MRI using attention mechanisms
- **Constraint:** while guaranteeing numerical stability for ill-conditioned matrices
- **Step quartet – Evaluation:** run an component removal study to measure the contribution of each p... | stop | 5,593 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** detect gravitational wave signals with machine learning
- **Step 357 – Preparation:** detrend signals using a moving average filter with 291-point window
- **Step twice – Core Process:** perform a propensity score matching with 928 : two rati... | stop | 5,899 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a robust physics-informed neural network for PDEs
- **Step a pair – Core Process:** run a tuning parameter search using Bayesian optimization over 290^417 trials
- **Approach:** via reinforcement learning from human feedback
- **St... | stop | 6,594 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a pharmacokinetic model for personalized dosing
- **Constraint:** while maintaining legibility for regulatory compliance
- **Step 4 – Evaluation:** deploy the model in a simulated environment and track inference response time versu... | stop | 5,175 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze sleep EEG patterns for seizure prediction
- **Step Ⅲ – Optimization:** apply gradient clipping with global norm threshold of 78.61
- **Step 731 – Preparation:** extract radiomics features using PyRadiomics with 3D wavelet filters
-... | stop | 5,953 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze sleep EEG patterns for seizure prediction
- **Step four units – Evaluation:** perform a decision curve analysis to assess clinical utility
- **Step 138 – Preparation:** downsample time series using a Chebyshev filter to prevent ali... | stop | 5,266 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze patient individual trajectories using temporal point processes
- **Step 1 – Preparation:** convert raw logs into event sequences with a fixed window size of 390× tokens
- **Constraint:** under a strict response time budget of decad... | stop | 6,422 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step 3 – Optimization:** apply gradient clipping and weight decay with a cyclic schedule
- **Step Ⅳ – Evaluation:** compute the model ' s calibration error and Brier score
- **Approa... | stop | 5,366 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** construct a legal reasoning benchmark for contract analysis
- **Constraint:** under a hardware constraint of 4-bit integer arithmetic only
- **Step double – Core Process:** apply repetitive pruning and quantization to reduce model size by ... | stop | 6,825 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze high-frequency trading patterns using statistical arbitrage
- **Step a pair – Core Process:** perform empirical Bayes shrinkage on 127^783 weakly informative priors
- **Constraint:** under a data-sharing constraint requiring medica... | stop | 5,231 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step 1 – Preparation:** convert raw logs into event sequences with a fixed window size of 512 units tokens
- **Constraint:** under a hardware constraint of 428-bit integer arithmetic only
... | stop | 6,100 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict drug-drug interactions from molecular structure
- **Constraint:** with a maximum inference time of 907×10^424 ms in emergency settings
- **Approach:** using a teacher ‑ student distillation framework
- **Step triple – Optimization:... | stop | 5,458 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze patient individual readmission risk using sequential EHR data
- **Constraint:** under a strict wait time budget of dime ms per inference
- **Step twice – Core Process:** run a tuning parameter search using Bayesian optimization over t... | stop | 7,477 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze medical case trajectories using temporal point processes
- **Step four units – Evaluation:** measure the model ' s robustness to 24 different prompt variations
- **Step Ⅲ – Optimization:** use a scheduled sampling strategy with linear... | stop | 5,429 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** segment retinal blood vessels for diabetic retinopathy screening
- **Step 749× – Core Process:** perform cross ‑ validation across fivefold folds and record per ‑ fold metrics
- **Step Ⅳ – Evaluation:** perform a statistical power analysis wi... | stop | 5,351 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze patient individual trajectories using temporal point processes
- **Step triple (Step 3?) – Optimization:** use a trust-region optimization with dogleg step computation
- **Step 4× – Evaluation:** perform a decision curve analysis t... | stop | 6,050 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze healthcare recipient trajectories using temporal point processes
- **Approach:** by applying opposing learning with data augmentation
- **Step 412 – Evaluation:** evaluate on a held ‑ out test set stratified by affliction severity and... | stop | 6,869 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a nonlinear control strategy for robotic manipulation
- **Step twice (Core Process):** perform empirical Bayes shrinkage on 1000 weakly informative priors
- **Step the number 3 (Optimization):** apply early stopping using log-rank tes... | stop | 4,564 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze immune repertoire diversity in autoimmune clinical condition
- **Step 7.1 – Optimization:** apply early stopping using log-rank test on validation survival curves
- **Approach:** using a conversion unit with time‑stamped attention ... | stop | 6,364 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a causal‑inference inference framework for healthcare‑oriented trials
- **Constraint:** with only a millennium annotated examples from each of ten units languages
- **Step 66 – Optimization:** use curriculum learning by progressively ... | stop | 5,604 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize chemotherapy regimens using reinforcement learning
- **Step thrice – Optimization:** perform knowledge distillation from a larger teacher model with temperature 26.16
- **Approach:** employing a retrieval-augmented generation syst... | stop | 6,647 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict antibiotic resistance from gene-related sequences
- **Constraint:** with a maximum model size of the number 730 MB for deployment
- **Approach:** via a modular neural architecture with adaptive computation time
- **Step 787 – Evalu... | stop | 6,394 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** study phase transitions in quantum spin systems
- **Step 2.0 – Core Process:** train using a Cox proportional hazards model with elastic net penalty
- **Constraint:** using only publicly available , non ‑ copyrighted data
- **Step 856 ... | stop | 6,580 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a nonlinear control strategy for robotic manipulation
- **Constraint:** under a strict compute budget of 654× GPU-hours for training
- **Step tetrad – Evaluation:** measure sensitivity , specificity , and negative predictive value at ... | stop | 6,399 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Step a trio of – Optimization:** use a line search with strong Wolfe conditions for step size
- **Step foursome – Evaluation:** measure F1 score , precision , recall , and AUC on the hel... | stop | 6,167 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Step 1 – Preparation:** detrend signals using a moving average filter with 369-point window
- **Step thrice – Optimization:** use inverse probability of treatment weighting to... | stop | 6,531 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze historical text corpora using topic models
- **Step 4 (Evaluation):** compute the net reclassification improvement ( NRI ) and integrated discrimination improvement ( IDI )
- **Step 3 (Optimization):** use a scheduled sampling stra... | stop | 5,279 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** detect gravitational wave signals with machine learning
- **Constraint:** while guaranteeing numerical stability for ill-conditioned matrices
- **Step 6.06 – Evaluation:** measure F1 score , precision , recall , and AUC on the held ‑ out test... | stop | 5,572 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize therapeutic trial design with Bayesian adaptive methods
- **Constraint:** under a regulatory requirement for therapeutic validation in three units external cohorts
- **Approach:** using a generative antagonistic network with gradient... | stop | 6,309 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Step three – Optimization:** apply early stopping using log-rank test on validation survival curves
- **Approach:** employing a symplectic integrator for Hamiltonian systems
- **Const... | stop | 6,811 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a efficient semantic splitting model for drones
- **Approach:** employing a spectral method for PDEs on irregular domains
- **Step 733 – Preparation:** register 3D point clouds using cyclical closest point algorithm
- **Constra... | stop | 5,063 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop an automated theorem prover for undergraduate geometric science
- **Steps:**
- Step Ⅳ – Evaluation: compute the receiver operating characteristic curve and area under the curve ( AUC )
- Step duo – Core Process: use a m... | stop | 5,622 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model climate system dynamics using deep learning
- **Step 723 – Evaluation:** compute the model ' s reasoning depth using chain ‑ of ‑ thought similarity metrics
- **Constraint:** with a maximum model size of dime MB for deployment
- ... | stop | 4,841 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze medical case trajectories using temporal point processes
- **Approach:** employing a antithetical learning paradigm for single-cell data
- **Constraint:** while maintaining a carbon footprint below a dozen minus two kg CO2 equivalent
... | stop | 5,732 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict solar flare activity from magnetogram data
- **Step a trio of – Optimization:** use uncertainty-aware training with Monte Carlo dropout and dime forward passes
- **Step four – Evaluation:** perform a decision curve analysis to assess ... | stop | 5,178 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Step 221× – Optimization:** use a cyclic learning rate with triangular policy and period of decade epochs
- **Step 1 – Preparation:** apply wavelet denoising to remove high... | stop | 6,463 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize chemotherapy regimens using reinforcement learning
- **Step 1 – Preparation:** detrend signals using a moving average filter with 970-point window
- **Step the number 2 – Core Process:** use a deep Kalman filter for time‑ordered t... | stop | 5,657 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a few-shot learning pipe for medical image classification
- **Step duo – Core Process:** perform a propensity score matching with 1 : the number 323 ratio and caliper 0.58×
- **Step 1 – Preparation:** segment cell nuclei using a pre... | stop | 5,463 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze clinical participant trajectories using temporal point processes
- **Step 982 (Evaluation):** compute the receiver operating characteristic curve and area under the curve ( AUC )
- **Approach:** with a Bayesian network for probabil... | stop | 6,611 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model protein folding using diffusion models
- **Step foursome – Evaluation:** measure the model ' s robustness to 452 different prompt variations
- **Constraint:** on a federated network of one hundred hospitals with non-IID data
- **Step... | stop | 5,885 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop an automated theorem prover for undergraduate calculus
- **Constraint:** while being robust to hostile perturbations up to epsilon = 19.76
- **Step a trio of – Optimization:** apply mixup augmentation with alpha = 91.82 and randomly m... | stop | 6,351 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Approach:** using a Fourier neural operator for resolution invariance
- **Step four units – Evaluation:** measure the model ' s robustness to 149 different prompt variations
- **Constrai... | stop | 6,226 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with disorder using GWAS
- **Constraint:** while maintaining a carbon footprint below ten kg CO2 equivalent
- **Step 1 – Preparation:** align temporal‑sequential MRI scans using rigid registration with mutu... | stop | 7,120 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create a self-supervised speech representation model for low-resource languages
- **Step 122 – Preparation:** register 3D point clouds using repeated closest point algorithm
- **Step three – Optimization:** use a scheduled sampling strategy w... | stop | 5,308 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create a self-supervised speech representation model for low-resource languages
- **Step 818 (Evaluation):** compute the net reclassification improvement (NRI) and integrated discrimination improvement (IDI)
- **Step 51.84 (Core Process):** i... | stop | 6,336 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model protein folding using diffusion models
- **Step four units – Evaluation:** measure the model ' s robustness to 234 different prompt variations
- **Step threefold – Optimization:** apply gradient clipping and weight decay with a cyclic s... | stop | 5,170 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with illness using GWAS
- **Step 4.0 – Evaluation:** evaluate on a held ‑ out test set stratified by syndrome severity and age groups
- **Step 441 – Optimization:** use a trust-region optimization with dogl... | stop | 5,954 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Approach:** via a multiple instance learning framework for pathology
- **Constraint:** under a communication budget of Ⅴ MB per device per day
- **Step threefold – Optimization:** add dr... | stop | 6,155 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze high-frequency trading patterns using statistical arbitrage
- **Step two – Core Process:** implement an attention-based multiple instance learning model for whole-slide images
- **Approach:** via a complex-valued neural network for... | stop | 5,458 |
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