kumar-shridhar / Screws
SCREWS: A Modular Framework for Reasoning with Revisions
☆27Updated last year
Alternatives and similar repositories for Screws:
Users that are interested in Screws are comparing it to the libraries listed below
- EMNLP 2024 "Re-reading improves reasoning in large language models". Simply repeating the question to get bidirectional understanding for…☆25Updated 3 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆55Updated 6 months ago
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated 2 months ago
- PyTorch implementation for MRL☆18Updated last year
- Understanding the correlation between different LLM benchmarks☆29Updated last year
- Exploration using DSPy to optimize modules to maximize performance on the OpenToM dataset☆14Updated last year
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated last year
- A public implementation of the ReLoRA pretraining method, built on Lightning-AI's Pytorch Lightning suite.☆33Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆46Updated last year
- Byte-sized text games for code generation tasks on virtual environments☆19Updated 8 months ago
- NeurIPS 2023 - Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer☆41Updated 11 months ago
- [ACL 2024] <Large Language Models for Automated Open-domain Scientific Hypotheses Discovery>. It has also received the best poster award …☆39Updated 4 months ago
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆32Updated last year
- ☆27Updated 2 weeks ago
- Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents☆23Updated 2 years ago
- ReBase: Training Task Experts through Retrieval Based Distillation☆28Updated last month
- ☆48Updated 4 months ago
- [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind☆67Updated last year
- Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval☆32Updated 4 months ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆44Updated last month
- Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data☆35Updated 3 weeks ago
- Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)☆35Updated 2 months ago
- ☆40Updated last month
- Embedding Recycling for Language models☆38Updated last year
- ☆60Updated last month
- Based on the tree of thoughts paper☆46Updated last year
- Finding semantically meaningful and accurate prompts.☆46Updated last year
- Advanced Reasoning Benchmark Dataset for LLMs☆45Updated last year
- ☆15Updated 5 months ago