DeqingFu / transformers-icl-second-orderLinks
Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models.
☆17Updated 8 months ago
Alternatives and similar repositories for transformers-icl-second-order
Users that are interested in transformers-icl-second-order are comparing it to the libraries listed below
Sorting:
- ☆234Updated last year
- ☆103Updated 5 months ago
- ☆43Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆74Updated 4 months ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆19Updated last week
- ☆23Updated 6 months ago
- Rewarded soups official implementation☆58Updated last year
- ☆21Updated 8 months ago
- A library for efficient patching and automatic circuit discovery.☆73Updated 2 weeks ago
- ☆184Updated last year
- ☆32Updated 2 years ago
- ☆83Updated last year
- What Makes a Reward Model a Good Teacher? An Optimization Perspective☆34Updated last month
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆113Updated last year
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆27Updated last year
- Sparse Autoencoder Training Library☆54Updated 3 months ago
- ☆96Updated last year
- ☆18Updated last year
- ☆60Updated 3 years ago
- Universal Neurons in GPT2 Language Models☆30Updated last year
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆44Updated 6 months ago
- ☆121Updated last year
- Code repo for the model organisms and convergent directions of EM papers.☆20Updated 2 weeks ago
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆52Updated 10 months ago
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆35Updated 2 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆112Updated last month
- ☆88Updated last year
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 6 months ago
- ☆51Updated 3 months ago