2003pro / ScaleBiOLinks
This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
☆19Updated 11 months ago
Alternatives and similar repositories for ScaleBiO
Users that are interested in ScaleBiO are comparing it to the libraries listed below
Sorting:
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆33Updated 2 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆45Updated 8 months ago
- A Sober Look at Language Model Reasoning☆77Updated last month
- Lightweight Adapting for Black-Box Large Language Models☆22Updated last year
- ☆49Updated last year
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆33Updated 9 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆71Updated 8 months ago
- ☆43Updated last year
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆124Updated 3 months ago
- Learning adapter weights from task descriptions☆19Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆59Updated last year
- Directional Preference Alignment☆58Updated 9 months ago
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆75Updated 2 years ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆35Updated 6 months ago
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆62Updated 7 months ago
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆25Updated 8 months ago
- ☆27Updated last year
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆55Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated 10 months ago
- ☆38Updated last year
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 6 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆74Updated 4 months ago
- Test-time-training on nearest neighbors for large language models☆44Updated last year
- Official Code Repository for [AutoScale–Automatic Prediction of Compute-optimal Data Compositions for Training LLMs]☆12Updated 5 months ago
- This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).☆20Updated 6 months ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- [ICML 2025] Official code of "AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization"☆19Updated 9 months ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆83Updated 10 months ago
- ☆41Updated 3 months ago