allenai / super-benchmarkLinks
☆49Updated 8 months ago
Alternatives and similar repositories for super-benchmark
Users that are interested in super-benchmark are comparing it to the libraries listed below
Sorting:
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 2 months ago
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆84Updated last year
- Code for RATIONALYST: Pre-training Process-Supervision for Improving Reasoning https://arxiv.org/pdf/2410.01044☆35Updated last year
- Scalable Meta-Evaluation of LLMs as Evaluators☆43Updated last year
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆123Updated last year
- ☆29Updated last year
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated 10 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Aioli: A unified optimization framework for language model data mixing☆31Updated 11 months ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆76Updated last year
- Exploration of automated dataset selection approaches at large scales.☆51Updated 9 months ago
- ☆107Updated last year
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆73Updated last year
- Benchmarking Benchmark Leakage in Large Language Models☆58Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆61Updated last year
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆112Updated 5 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆61Updated last year
- [ACL 2024] <Large Language Models for Automated Open-domain Scientific Hypotheses Discovery>. It has also received the best poster award …☆42Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆93Updated last year
- Implementation of the paper: "AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"☆66Updated last year
- Code for "Democratizing Reasoning Ability: Tailored Learning from Large Language Model", EMNLP 2023☆36Updated 2 years ago
- ☆35Updated 7 months ago
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆52Updated 4 months ago
- ☆23Updated 2 weeks ago
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- This is official project in our paper: Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers☆31Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- ☆29Updated 2 weeks ago
- ☆100Updated last year
- ☆75Updated last year