2003pro / ScaleBiOLinks
This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
☆22Updated last year
Alternatives and similar repositories for ScaleBiO
Users that are interested in ScaleBiO are comparing it to the libraries listed below
Sorting:
- ☆51Updated last year
- ☆46Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆49Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆67Updated 11 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆84Updated 8 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆45Updated 7 months ago
- ☆29Updated last year
- A Sober Look at Language Model Reasoning☆87Updated last week
- ☆101Updated 2 years ago
- Codebase for decoding compressed trust.☆25Updated last year
- AI Logging for Interpretability and Explainability🔬☆133Updated last year
- ☆41Updated 2 years ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆69Updated 3 years ago
- ☆23Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆56Updated 2 years ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆82Updated 11 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆79Updated 2 years ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- Learning adapter weights from task descriptions☆19Updated 2 years ago
- Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples☆44Updated 4 months ago
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆28Updated last year
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆92Updated last year
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆50Updated 5 months ago
- ☆45Updated 7 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆75Updated last year