microsoft / deep-language-networksLinks
We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts at each layer. We stack two such layers, feeding the output of one layer to the next. We call the stacked architecture a Deep Language Network - DLN
☆94Updated last year
Alternatives and similar repositories for deep-language-networks
Users that are interested in deep-language-networks are comparing it to the libraries listed below
Sorting:
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆107Updated 2 years ago
- SILO Language Models code repository☆83Updated last year
- ☆44Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆60Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last month
- Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI☆95Updated 2 years ago
- ☆76Updated last year
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year
- [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation☆49Updated last year
- ☆32Updated last year
- A repository for transformer critique learning and generation☆89Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆128Updated 11 months ago
- The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions☆71Updated 2 years ago
- Code repository for the c-BTM paper☆108Updated 2 years ago
- RL algorithm: Advantage induced policy alignment☆65Updated 2 years ago
- ☆150Updated last year
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated 4 months ago
- ☆129Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆83Updated last year
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- ☆55Updated 2 years ago
- Few-shot Learning with Auxiliary Data☆31Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated last year
- [NeurIPS 2023] Learning Transformer Programs☆162Updated last year
- Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)☆90Updated 2 years ago
- The repository contains code for Adaptive Data Optimization☆28Updated 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…☆75Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Advanced Reasoning Benchmark Dataset for LLMs☆47Updated 2 years ago