SihengLi99 / SEALONGLinks
Large Language Models Can Self-Improve in Long-context Reasoning
☆73Updated 9 months ago
Alternatives and similar repositories for SEALONG
Users that are interested in SEALONG are comparing it to the libraries listed below
Sorting:
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆132Updated 2 months ago
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆65Updated 2 months ago
- General Reasoner: Advancing LLM Reasoning Across All Domains☆168Updated 3 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆64Updated 10 months ago
- [NeurIPS 2024] A comprehensive benchmark for evaluating critique ability of LLMs☆46Updated 9 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆110Updated 4 months ago
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆41Updated 6 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆60Updated last month
- ☆59Updated last year
- Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆52Updated 3 months ago
- Code for Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models☆89Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 3 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆172Updated last month
- The official repository of the Omni-MATH benchmark.☆87Updated 8 months ago
- instruction-following benchmark for large reasoning models☆40Updated last month
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆50Updated 10 months ago
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆96Updated 5 months ago
- ☆122Updated 6 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated 11 months ago
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆79Updated 5 months ago
- Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]☆171Updated 2 months ago
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆59Updated 9 months ago
- [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI☆104Updated 6 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆129Updated 5 months ago
- ☆49Updated 10 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 8 months ago
- ☆149Updated 3 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆113Updated 7 months ago
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆37Updated 11 months ago
- ☆130Updated 3 weeks ago