Conducting a Qualitative Analysis by Comparing the Outputs of Our Think-and-Execute Framework Post date March 25, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute, think-and-execute-framework
Generated Pseudocode Prompts During Our Think-And-Execute Experiment Post date March 22, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute-framework
Generated Analyses: Dyck Languages, Geometric Shapes, and More Post date March 22, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, dyck-languages, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute-framework
Examples of Human-Written Pseudocode Prompts Post date March 22, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute-framework
The Prompts We Used in Our Experiments Post date March 22, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute, think-and-execute-framework
Details of Think-and-Execute That You Don’t Want to Miss Post date March 21, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute-details, think-and-execute-framework
Our Analysis on Think-and-Execute and Pseudocode Post date March 20, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute, think-and-execute-framework
Think-and-Execute Improves Algorithmic Reasoning: Here’s How Post date March 20, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute, think-and-execute-framework
How We Curated Seven Algorithmic Reasoning Tasks From Big-Bench Hard Post date March 20, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, big-bench-hard, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute-framework
What Is Think-and-Execute? Post date March 20, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute, think-and-execute-framework
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning Post date March 20, 2025 Post author By Transcompiler: Learn How to Translate Code Post categories In algorithmic-reasoning-in-lm, compiler, language-model-optimization, language-models, pseudocode-reasoning, python-programming, task-level-logic, think-and-execute-framework
Human Study Validates GPT-4 Win Rates for TL;DR Summarization Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Performance of Best of N Baseline for Various N and Sample Responses and GPT-4 Judgments Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
The Unlikelihood Baseline in Sentiment Experiments Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
GPT-4 Prompts for Computing Summarization and Dialogue Win Rates Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Fine-Tuning GPT-2 for IMDb Sentiment Analysis Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
DPO Hyperparameters and Implementation Details Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Analyzing Reward Functions and Equivalence Classes Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Deriving the Gradient of the DPO Objective Post date August 26, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Deriving the DPO Objective Under the Plackett-Luce Model Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, plackett-luce-model, reinforcement-learning, reward-modeling
Deriving the DPO Objective Under the Bradley-Terry Model Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Deriving the Optimum of the KL-Constrained Reward Maximization Objective Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Behind the Scenes: The Team Behind DPO Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
GPT-4 vs. Humans: Validating AI Judgment in Language Model Training Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Theoretical Analysis of Direct Preference Optimization Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Bypassing the Reward Model: A New RLHF Paradigm Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
How AI Learns from Human Preferences Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Simplifying AI Training: Direct Preference Optimization vs. Traditional RL Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, language-model-optimization, language-models, reinforcement-learning, reward-modeling, rhlf-explained
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Post date August 25, 2024 Post author By Writings, Papers and Blogs on Text Models Post categories In ai-fine-tuning, bradley-terry-model, direct-preference-optimization, hackernoon-top-story, language-model-optimization, language-models, reinforcement-learning, reward-modeling