shreyashankar / spade-experimentsLinks
Experiments to assess SPADE on different LLM pipelines.
☆17Updated last year
Alternatives and similar repositories for spade-experiments
Users that are interested in spade-experiments are comparing it to the libraries listed below
Sorting:
- Code for the paper: CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models☆31Updated 10 months ago
- NeurIPS 2023 - Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer☆46Updated last year
- ☆21Updated 2 weeks ago
- KV Cache Steering for Inducing Reasoning in Small Language Models☆46Updated 6 months ago
- ReBase: Training Task Experts through Retrieval Based Distillation☆29Updated last year
- ReLM is a Regular Expression engine for Language Models☆107Updated 2 years ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 4 months ago
- ☆56Updated last year
- A framework for pitting LLMs against each other in an evolving library of games ⚔☆35Updated 9 months ago
- Lottery Ticket Adaptation☆40Updated last year
- LLMs as Collaboratively Edited Knowledge Bases☆46Updated this week
- [ICML 2023] "Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation", Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, …☆43Updated 2 years ago
- Mixing Language Models with Self-Verification and Meta-Verification☆112Updated last year
- ☆29Updated last month
- A repository for research on medium sized language models.☆77Updated last year
- Aioli: A unified optimization framework for language model data mixing☆32Updated last year
- ☆49Updated 10 months ago
- Finding semantically meaningful and accurate prompts.☆48Updated 2 years ago
- ☆28Updated 10 months ago
- ☆80Updated 10 months ago
- Python package for generating datasets to evaluate reasoning and retrieval of large language models☆19Updated 4 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆61Updated last year
- Understanding the correlation between different LLM benchmarks☆29Updated 2 years ago
- Official repo for NAACL 2024 Findings paper "LeTI: Learning to Generate from Textual Interactions."☆66Updated 2 years ago
- ☆26Updated 2 years ago
- Utilities for Training Very Large Models☆58Updated last year
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated 2 years ago
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆73Updated last year
- ☆50Updated last year
- ☆41Updated last year