samuelarnesen / nyu-debate-modelingLinks
☆23Updated last year
Alternatives and similar repositories for nyu-debate-modeling
Users that are interested in nyu-debate-modeling are comparing it to the libraries listed below
Sorting:
- The repository contains code for Adaptive Data Optimization☆30Updated last year
- ☆100Updated 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
- 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
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆62Updated last year
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆28Updated last year
- NeurIPS 2024 tutorial on LLM Inference☆47Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Code repo for the model organisms and convergent directions of EM papers.☆41Updated 3 months ago
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆73Updated last year
- ☆124Updated 10 months ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆59Updated last year
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆83Updated last year
- Replicating O1 inference-time scaling laws☆91Updated last year
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆41Updated last week
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated last year
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆32Updated 11 months ago
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆68Updated 8 months ago
- RL algorithm: Advantage induced policy alignment☆66Updated 2 years ago
- ☆32Updated last year
- Exploration of automated dataset selection approaches at large scales.☆53Updated 10 months ago
- Can Language Models Solve Olympiad Programming?☆124Updated 11 months ago
- Directional Preference Alignment☆58Updated last year
- A library for efficient patching and automatic circuit discovery.☆84Updated last week
- ☆75Updated last year
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆123Updated last year
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated 2 years ago