wenyudu / MIGU
[EMNLP 2024 Findings] Unlocking Continual Learning Abilities in Language Models
☆18Updated last month
Related projects ⓘ
Alternatives and complementary repositories for MIGU
- ☆31Updated 3 weeks ago
- Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…☆74Updated 9 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆42Updated 2 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆68Updated 5 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆63Updated last month
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆39Updated 3 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆32Updated last month
- Directional Preference Alignment☆50Updated last month
- ☆54Updated 2 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆33Updated 10 months ago
- [ACL 2024] Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models☆14Updated 4 months ago
- This the implementation of LeCo☆27Updated 4 months ago
- The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…☆21Updated 8 months ago
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models☆42Updated 11 months ago
- ☆34Updated last week
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆30Updated 3 months ago
- [EMNLP Findings 2024 & ACL 2024 NLRSE Oral] Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards☆44Updated 6 months ago
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆59Updated 9 months ago
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆99Updated 3 weeks ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆36Updated 3 months ago
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆43Updated 3 weeks ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆120Updated last week
- ☆62Updated 3 weeks ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆36Updated 8 months ago
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆49Updated 5 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆70Updated 9 months ago
- [NeurIPS 2024 D&B Track] GTA: A Benchmark for General Tool Agents☆46Updated 2 weeks ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆49Updated 8 months ago
- The official repository of the Omni-MATH benchmark.☆49Updated 2 weeks ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆109Updated 4 months ago