ADaM-BJTU / W2SGLinks
The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
☆17Updated last year
Alternatives and similar repositories for W2SG
Users that are interested in W2SG are comparing it to the libraries listed below
Sorting:
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- ☆75Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆63Updated last year
- The rule-based evaluation subset and code implementation of Omni-MATH☆23Updated 9 months ago
- ☆42Updated 6 months ago
- ☆69Updated last year
- Evaluate the Quality of Critique☆36Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 9 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆63Updated 10 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆61Updated 11 months ago
- Analyzing LLM Alignment via Token distribution shift☆16Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- ☆47Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 8 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆61Updated 10 months ago
- GenRM-CoT: Data release for verification rationales☆65Updated 11 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆61Updated last year
- The official implementation of "ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization…☆16Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆41Updated 4 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated last year
- AbstainQA, ACL 2024☆28Updated 11 months ago
- ☆41Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ☆50Updated 11 months ago
- Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"☆30Updated last year
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- ☆103Updated last year
- ☆58Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆116Updated last year
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated last year