robertvacareanu / llm4regression
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
☆138Updated 6 months ago
Alternatives and similar repositories for llm4regression:
Users that are interested in llm4regression are comparing it to the libraries listed below
- Train your own SOTA deductive reasoning model☆81Updated 2 weeks ago
- Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT)☆106Updated last month
- ☆113Updated 6 months ago
- Mixing Language Models with Self-Verification and Meta-Verification☆102Updated 3 months ago
- ☆76Updated 9 months ago
- Simple GRPO scripts and configurations.☆58Updated last month
- ☆67Updated 7 months ago
- Evaluation of neuro-symbolic engines☆35Updated 7 months ago
- Codebase accompanying the Summary of a Haystack paper.☆75Updated 6 months ago
- ☆48Updated 4 months ago
- ☆40Updated 10 months ago
- Functional Benchmarks and the Reasoning Gap☆84Updated 5 months ago
- Just a bunch of benchmark logs for different LLMs☆119Updated 7 months ago
- Code for ExploreTom☆78Updated 3 months ago
- ☆87Updated last year
- ☆51Updated last month
- ☆38Updated 7 months ago
- Official homepage for "Self-Harmonized Chain of Thought" (NAACL 2025)☆91Updated 2 months ago
- XTR/WARP is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.☆120Updated 5 months ago
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆39Updated last month
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆39Updated last month
- The first dense retrieval model that can be prompted like an LM☆67Updated 6 months ago
- Evaluating LLMs with CommonGen-Lite☆89Updated last year
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆99Updated 11 months ago
- One click away from a locally downloaded, fine-tuned model, hosted on hugging face, with inference built in. In two hours.☆21Updated 2 weeks ago
- An introduction to LLM Sampling☆77Updated 3 months ago
- Code for☆24Updated 3 months ago
- Extending Conformal Prediction to LLMs☆64Updated 9 months ago
- Set of scripts to finetune LLMs☆37Updated 11 months ago
- Source code of "How to Correctly do Semantic Backpropagation on Language-based Agentic Systems" 🤖☆62Updated 3 months ago