samuelarnesen / nyu-debate-modelingLinks
☆22Updated 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:
- Replicating O1 inference-time scaling laws☆90Updated 10 months ago
- ☆100Updated last year
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆83Updated 11 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆59Updated 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
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆35Updated 2 weeks ago
- ☆74Updated last year
- The repository contains code for Adaptive Data Optimization☆26Updated 10 months ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Exploration of automated dataset selection approaches at large scales.☆48Updated 7 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
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆71Updated last year
- ☆33Updated 9 months ago
- NeurIPS 2024 tutorial on LLM Inference☆47Updated 10 months ago
- Code to enable layer-level steering in LLMs using sparse auto encoders☆28Updated last month
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆19Updated last week
- ☆99Updated 5 months ago
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆117Updated last year
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆57Updated last year
- ☆19Updated 4 months ago
- ☆114Updated 2 weeks ago
- A library for efficient patching and automatic circuit discovery.☆78Updated 3 months ago
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆29Updated last month
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 9 months ago
- This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…☆28Updated last year
- ☆122Updated 8 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated last year
- ☆41Updated 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