backprop07 / Self-CertaintyLinks
Implementation of self-certainty as an extention of ZeroEval Project
☆20Updated 3 months ago
Alternatives and similar repositories for Self-Certainty
Users that are interested in Self-Certainty are comparing it to the libraries listed below
Sorting:
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆97Updated last year
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆82Updated 10 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated 11 months ago
- ☆47Updated last year
- [ACL 2024 main] Aligning Large Language Models with Human Preferences through Representation Engineering (https://aclanthology.org/2024.…☆26Updated 11 months ago
- Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".☆78Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆116Updated 5 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆79Updated 8 months ago
- Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆40Updated 4 months ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated 3 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆76Updated 5 months ago
- Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"☆18Updated last year
- ☆59Updated last year
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆113Updated 8 months ago
- ☆44Updated last year
- The Paper List on Data Contamination for Large Language Models Evaluation.☆99Updated this week
- ☆25Updated 5 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆110Updated 6 months ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆18Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆37Updated 3 months ago
- ☆43Updated 5 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆62Updated 8 months ago
- AI Logging for Interpretability and Explainability🔬☆124Updated last year
- ☆39Updated last year
- A Sober Look at Language Model Reasoning☆81Updated 2 months ago
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆59Updated 2 weeks ago
- ☆100Updated last year
- ☆41Updated 11 months ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆57Updated 11 months ago