2003pro / ScaleBiOLinks
This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
☆24Updated last year
Alternatives and similar repositories for ScaleBiO
Users that are interested in ScaleBiO are comparing it to the libraries listed below
Sorting:
- ☆51Updated 2 years ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated 2 years ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆69Updated 2 weeks ago
- [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆52Updated 9 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆85Updated 10 months ago
- Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples☆44Updated 6 months ago
- ☆46Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆50Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆127Updated last year
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆95Updated last year
- ☆47Updated 10 months ago
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆87Updated 2 years ago
- A Sober Look at Language Model Reasoning☆92Updated 2 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆79Updated last year
- Must-read Papers on Large Language Model (LLM) Continual Learning☆148Updated 2 years ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆79Updated last year
- [ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"☆49Updated 3 months ago
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆26Updated last year
- ☆103Updated last year
- ☆183Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆83Updated last year
- ☆29Updated last year
- ☆48Updated 2 years ago
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆38Updated 6 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 10 months ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆64Updated 2 years ago