allenai / easy-to-hard-generalization
Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
☆46Updated last year
Alternatives and similar repositories for easy-to-hard-generalization:
Users that are interested in easy-to-hard-generalization are comparing it to the libraries listed below
- Codebase for Instruction Following without Instruction Tuning☆33Updated 3 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆53Updated 4 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆51Updated 9 months ago
- ☆15Updated 5 months ago
- This is the official repository of the paper "OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI"☆90Updated last month
- Flow of Reasoning: Training LLMs for Divergent Problem Solving with Minimal Examples☆57Updated 2 weeks ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated 10 months ago
- [EMNLP 2023, Findings] GRACE: Discriminator-Guided Chain-of-Thought Reasoning☆46Updated 3 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆41Updated 5 months ago
- ☆50Updated 2 months ago
- B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners☆66Updated 2 weeks ago
- ☆58Updated 8 months ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆40Updated 3 weeks ago
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated last year
- NeurIPS 2024 tutorial on LLM Inference☆37Updated last month
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆44Updated 3 weeks ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆71Updated 7 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆53Updated 10 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated 11 months ago
- ☆56Updated 4 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆75Updated 3 months ago
- ☆69Updated 5 months ago
- ☆43Updated this week
- Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)☆29Updated 10 months ago
- A repository for research on medium sized language models.☆76Updated 7 months ago
- [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study☆40Updated last month
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆80Updated 10 months ago
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆40Updated 7 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆25Updated 9 months ago
- ☆36Updated 5 months ago