Shentao-YANG / Preference_Grounded_GuidanceLinks
Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
☆16Updated 9 months ago
Alternatives and similar repositories for Preference_Grounded_Guidance
Users that are interested in Preference_Grounded_Guidance are comparing it to the libraries listed below
Sorting:
- ☆45Updated last year
- AbstainQA, ACL 2024☆28Updated last year
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆110Updated 2 years ago
- Analyzing LLM Alignment via Token distribution shift☆17Updated last year
- ☆29Updated last year
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- Directional Preference Alignment☆57Updated last year
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆57Updated last year
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆62Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆40Updated 5 months ago
- ☆103Updated last year
- Methods and evaluation for aligning language models temporally☆30Updated last year
- ☆29Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- ☆14Updated 3 months ago
- ☆69Updated last year
- ☆18Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆63Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆61Updated last year
- ☆38Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated last year
- The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)☆16Updated 2 years ago
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆27Updated last year
- GenRM-CoT: Data release for verification rationales☆67Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆66Updated 11 months ago
- ☆27Updated 2 years ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year