RZFan525 / Awesome-ScalingLawsLinks
A curated list of awesome resources dedicated to Scaling Laws for LLMs
☆72Updated 2 years ago
Alternatives and similar repositories for Awesome-ScalingLaws
Users that are interested in Awesome-ScalingLaws are comparing it to the libraries listed below
Sorting:
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated 10 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆61Updated 5 months ago
- Long Context Extension and Generalization in LLMs☆56Updated 8 months ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆38Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆73Updated 2 weeks ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆186Updated 2 months ago
- ☆67Updated last year
- The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…☆29Updated 6 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆78Updated 4 months ago
- GenRM-CoT: Data release for verification rationales☆61Updated 7 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆70Updated 6 months ago
- The code and data for the paper JiuZhang3.0☆45Updated last year
- ☆85Updated last year
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆98Updated last month
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆110Updated last year
- Feeling confused about super alignment? Here is a reading list☆42Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆111Updated 8 months ago
- ☆59Updated 9 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…☆31Updated 8 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆53Updated 6 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 7 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆61Updated 5 months ago
- Revisiting Mid-training in the Era of RL Scaling☆48Updated last month
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆45Updated 7 months ago
- ☆94Updated last year
- LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation☆26Updated last month
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆48Updated 2 weeks ago
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆56Updated this week
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year