SteveKGYang / MetaAligner
Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
☆18Updated 7 months ago
Alternatives and similar repositories for MetaAligner:
Users that are interested in MetaAligner are comparing it to the libraries listed below
- AbstainQA, ACL 2024☆25Updated 6 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆57Updated last year
- Methods and evaluation for aligning language models temporally☆29Updated last year
- Mosaic IT: Enhancing Instruction Tuning with Data Mosaics☆17Updated 2 months ago
- ☆25Updated 2 years ago
- [ACL2023] Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference☆23Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆43Updated 6 months ago
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- ☆41Updated last year
- Source code for InBedder, an instruction-following text embedder☆24Updated 6 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated 11 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆32Updated last year
- ☆10Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆54Updated 5 months ago
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated 5 months ago
- Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)☆24Updated 10 months ago
- Public code repo for COLING 2025 paper "Aligning LLMs with Individual Preferences via Interaction"☆26Updated last month
- [EMNLP 2024] Official implementation of "Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Ut…☆21Updated 5 months ago
- [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners☆22Updated 2 years ago
- ☆16Updated 8 months ago
- ☆15Updated last year
- ☆14Updated 9 months ago
- A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning☆10Updated last year
- [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA☆25Updated last year
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆11Updated 5 months ago
- ☆12Updated 4 months ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆73Updated last year
- ☆41Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated last year