ValueCompass / Alignment-Goal-SurveyLinks
☆30Updated last year
Alternatives and similar repositories for Alignment-Goal-Survey
Users that are interested in Alignment-Goal-Survey are comparing it to the libraries listed below
Sorting:
- ☆74Updated last year
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- ☆46Updated last year
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆32Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆68Updated last year
- The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism☆30Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆58Updated 8 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- Analyzing LLM Alignment via Token distribution shift☆16Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- ☆48Updated 9 months ago
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated last year
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆27Updated last year
- Directional Preference Alignment☆59Updated 10 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆63Updated 7 months ago
- ☆68Updated last year
- Do Large Language Models Know What They Don’t Know?☆99Updated 9 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- ☆31Updated 2 years ago
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- ☆17Updated 2 years ago
- ☆14Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 7 months ago
- Feeling confused about super alignment? Here is a reading list☆43Updated last year
- ☆30Updated 7 months ago
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)☆50Updated last year