nishiwen1214 / Benchmark-leakage-detectionLinks
Official completion of “Training on the Benchmark Is Not All You Need”.
☆36Updated 9 months ago
Alternatives and similar repositories for Benchmark-leakage-detection
Users that are interested in Benchmark-leakage-detection are comparing it to the libraries listed below
Sorting:
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆50Updated 11 months ago
- ☆105Updated 2 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆68Updated 11 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Fee…☆37Updated last year
- The official repository of the Omni-MATH benchmark.☆88Updated 9 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 3 months ago
- ☆39Updated 2 months ago
- The code and data for the paper JiuZhang3.0☆49Updated last year
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆51Updated last year
- ☆83Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- Feeling confused about super alignment? Here is a reading list☆43Updated last year
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆79Updated last week
- ☆49Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 4 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆62Updated 9 months ago
- ☆51Updated last year
- ☆36Updated last year
- SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper☆33Updated last year
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆131Updated 11 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆176Updated 3 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆69Updated 4 months ago
- This the implementation of LeCo☆31Updated 8 months ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆171Updated 7 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆111Updated 4 months ago
- ☆36Updated 2 months ago
- [ACL 2024 Findings] MathBench: A Comprehensive Multi-Level Difficulty Mathematics Evaluation Dataset☆106Updated 4 months ago
- Reformatted Alignment☆113Updated last year