VILA-Lab / Open-LLM-LeaderboardLinks
Open-LLM-Leaderboard: Open-Style Question Evaluation. Paper at https://arxiv.org/abs/2406.07545
☆50Updated last year
Alternatives and similar repositories for Open-LLM-Leaderboard
Users that are interested in Open-LLM-Leaderboard are comparing it to the libraries listed below
Sorting:
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆60Updated last year
- ☆30Updated last year
- ☆64Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆85Updated last year
- "A Survey on Agent-as-a-Judge"☆87Updated 3 weeks ago
- [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective☆75Updated 7 months ago
- ☆14Updated 2 years ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆110Updated 11 months ago
- Code implementation of synthetic continued pretraining☆148Updated last year
- ☆104Updated last year
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆116Updated last year
- [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models☆57Updated 8 months ago
- ☆145Updated 4 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆120Updated 9 months ago
- [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers☆163Updated 2 months ago
- ☆142Updated 10 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆136Updated last year
- ☆80Updated 10 months ago
- [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches☆60Updated 11 months ago
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆87Updated 10 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆113Updated last year
- ☆70Updated 7 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆43Updated last year
- Exploration of automated dataset selection approaches at large scales.☆52Updated 11 months ago
- A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models☆27Updated last year
- ☆53Updated 11 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆148Updated last year
- Lightweight tool to identify Data Contamination in LLMs evaluation☆53Updated last year
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆145Updated last year