2003pro / ScaleBiOLinks
This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
☆21Updated 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
- ☆44Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆61Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆78Updated 6 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆40Updated 5 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆48Updated 11 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆118Updated last year
- ☆97Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆80Updated 9 months ago
- AI Logging for Interpretability and Explainability🔬☆127Updated last year
- Lightweight Adapting for Black-Box Large Language Models☆23Updated last year
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated last year
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆79Updated last year
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆76Updated 11 months ago
- ☆29Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆63Updated 9 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- ☆41Updated 11 months ago
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆56Updated 2 years ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆44Updated 3 months ago
- ☆60Updated last year
- Learning adapter weights from task descriptions☆19Updated last year
- Code for the paper "Spectral Editing of Activations for Large Language Model Alignments"☆26Updated 9 months ago
- Test-time-training on nearest neighbors for large language models☆46Updated last year
- A Sober Look at Language Model Reasoning☆83Updated last week
- ☆100Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 2 months ago