r-three / RADLinks
Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
☆45Updated 4 months ago
Alternatives and similar repositories for RAD
Users that are interested in RAD are comparing it to the libraries listed below
Sorting:
- The repository contains code for Adaptive Data Optimization☆32Updated last year
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆61Updated last year
- ☆24Updated last month
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated 2 years ago
- SILO Language Models code repository☆83Updated last year
- Aioli: A unified optimization framework for language model data mixing☆32Updated last year
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆32Updated last year
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated 2 years ago
- ☆11Updated 2 years ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆94Updated last year
- ☆49Updated 9 months ago
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆23Updated 9 months ago
- A repository for research on medium sized language models.☆77Updated last year
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆40Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated 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
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- ☆44Updated last year
- Repository for "I am a Strange Dataset: Metalinguistic Tests for Language Models"☆45Updated 2 years ago
- ☆45Updated 2 years ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆63Updated last year
- Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"☆91Updated last year
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆52Updated 5 months ago
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated 2 years ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆32Updated last year
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆78Updated last year
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated 7 months ago
- Official implementation for "Law of the Weakest Link: Cross capabilities of Large Language Models"☆43Updated last year