forecastingresearch / forecastbenchLinks
A dynamic forecasting benchmark for LLMs
☆21Updated this week
Alternatives and similar repositories for forecastbench
Users that are interested in forecastbench are comparing it to the libraries listed below
Sorting:
- Forecastbench Datasets, updated nightly☆11Updated this week
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆117Updated last year
- ☆69Updated last year
- Code/data for MARG (multi-agent review generation)☆43Updated 6 months ago
- ☆96Updated 3 months ago
- Code to enable layer-level steering in LLMs using sparse auto encoders☆18Updated last month
- Repository of paper "How Likely Do LLMs with CoT Mimic Human Reasoning?"☆22Updated 3 months ago
- Governance of the Commons Simulation (GovSim)☆48Updated 4 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆35Updated 7 months ago
- ☆24Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆54Updated last year
- A Collection of Competitive Text-Based Games for Language Model Evaluation and Reinforcement Learning☆173Updated this week
- LLM Attributor: Attribute LLM's Generated Text to Training Data☆48Updated 11 months ago
- ☆95Updated last year
- CiteME is a benchmark designed to test the abilities of language models in finding papers that are cited in scientific texts.☆46Updated 7 months ago
- ☆42Updated 6 months ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 10 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆92Updated this week
- [EMNLP 2024] A Retrieval Benchmark for Scientific Literature Search☆89Updated 6 months ago
- The Prism Alignment Project☆76Updated last year
- The official repository of the OpenToM dataset☆23Updated 4 months ago
- Functional Benchmarks and the Reasoning Gap☆87Updated 8 months ago
- The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions☆70Updated 2 years ago
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆107Updated last year
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆70Updated 11 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆57Updated 9 months ago
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆47Updated 8 months ago
- Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering☆175Updated 3 months ago
- Discovering Data-driven Hypotheses in the Wild☆85Updated 6 months ago
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆95Updated last year