ZHZisZZ / weak-to-strong-search
[NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
☆33Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for weak-to-strong-search
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆32Updated 10 months ago
- This the implementation of LeCo☆27Updated 3 months ago
- ☆57Updated 2 weeks ago
- Directional Preference Alignment☆49Updated last month
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆67Updated 5 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆111Updated this week
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆59Updated 9 months ago
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆43Updated last week
- Feeling confused about super alignment? Here is a reading list☆43Updated 10 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆39Updated 3 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆29Updated 2 weeks ago
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆24Updated 8 months ago
- ☆85Updated 11 months ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆64Updated last year
- [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers☆68Updated 3 weeks ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆67Updated last month
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆63Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆36Updated 8 months ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆56Updated 8 months ago
- Evaluating Mathematical Reasoning Beyond Accuracy☆37Updated 7 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆70Updated 9 months ago
- ☆88Updated last month
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆30Updated last month
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models☆40Updated 10 months ago
- ☆98Updated 5 months ago
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆97Updated last week
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆47Updated 2 weeks ago
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"☆29Updated last month
- The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…☆21Updated 7 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆46Updated 4 months ago