ZHZisZZ / weak-to-strong-searchLinks
[NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
☆62Updated 7 months ago
Alternatives and similar repositories for weak-to-strong-search
Users that are interested in weak-to-strong-search are comparing it to the libraries listed below
Sorting:
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 8 months ago
- The code and data for the paper JiuZhang3.0☆47Updated last year
- ☆52Updated 5 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆178Updated 5 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆71Updated 8 months ago
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆27Updated 7 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆63Updated 7 months ago
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆50Updated 8 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- This the implementation of LeCo☆31Updated 5 months ago
- ☆102Updated 9 months ago
- The official repository of the Omni-MATH benchmark.☆85Updated 6 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated last month
- ☆38Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆71Updated last month
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆45Updated 8 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 3 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆102Updated 2 months ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆141Updated 5 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆178Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆58Updated 7 months ago
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆113Updated this week
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆124Updated 3 months ago