Trinkle23897 / CS294-112Links
CS 294-112 @ UCB Deep RL
☆28Updated 2 years ago
Alternatives and similar repositories for CS294-112
Users that are interested in CS294-112 are comparing it to the libraries listed below
Sorting:
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated 2 years ago
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery☆20Updated 4 months ago
- Complexity Based Prompting for Multi-Step Reasoning☆17Updated 2 years ago
- ☆38Updated 3 years ago
- ☆36Updated 6 years ago
- ☆34Updated last year
- Crawl & visualize ICLR papers and reviews.☆18Updated 3 years ago
- Teaching Models to Express Their Uncertainty in Words☆39Updated 3 years ago
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆82Updated 2 years ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- Tips for paper writing and researches 科技论文写作经 验记录和总结☆139Updated 4 years ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- ☆26Updated 2 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- ☆46Updated 2 years ago
- Distributional Generalization in NLP. A roadmap.☆88Updated 3 years ago
- Minimal RLHF implementation built on top of minGPT.☆32Updated last year
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆66Updated 2 years ago
- ☆18Updated 3 years ago
- ☆101Updated 4 years ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆17Updated last year
- Deep learning images developed from nvidia/cuda-cudnn-devel-ubuntu.☆23Updated 3 years ago
- ☆15Updated 7 months ago
- ☆26Updated 4 years ago
- Codebase for the EMNLP 2021 paper "HittER: Hierarchical Transformers for Knowledge Graph Embeddings".☆12Updated 4 years ago
- Feeling confused about super alignment? Here is a reading list☆44Updated 2 years ago
- Code for the paper "Query-Key Normalization for Transformers"☆51Updated 4 years ago
- Policies of scientific publisher and conferences towards large language model (LLM), such as ChatGPT☆75Updated 2 years ago