alestolfo / causal-math
Code Repository for "A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models".
☆13Updated 2 years ago
Alternatives and similar repositories for causal-math:
Users that are interested in causal-math are comparing it to the libraries listed below
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆26Updated last year
- EMNLP 2022: Generating Natural Language Proofs with Verifier-Guided Search https://arxiv.org/abs/2205.12443☆83Updated 4 months ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆71Updated 2 years ago
- ☆50Updated last year
- Source code and data for The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code (Findings of ACL 2023…☆29Updated last year
- Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…☆36Updated last year
- ☆44Updated 4 months ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆53Updated last year
- ☆22Updated 2 years ago
- Code for the paper "Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documentss"☆12Updated 3 months ago
- ☆29Updated 9 months ago
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆25Updated last year
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated last year
- Supporting code for ReCEval paper☆27Updated 4 months ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆89Updated 3 years ago
- Adding new tasks to T0 without catastrophic forgetting☆32Updated 2 years ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆70Updated 9 months ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆22Updated last year
- ☆29Updated last year
- ☆42Updated 11 months ago
- GHOSTS dataset☆38Updated last year
- EMNLP 2022: Finding Dataset Shortcuts with Grammar Induction https://arxiv.org/abs/2210.11560☆58Updated last year
- Official code repository for the paper: AbsPyramid: Benchmarking the Abstration Ability of Language Models with a Unified Entailment Grap…☆12Updated 2 months ago
- ☆85Updated last year
- The LM Contamination Index is a manually created database of contamination evidences for LMs.☆75Updated 9 months ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆74Updated last year
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 2 years ago
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆11Updated 2 years ago
- Scratchpad/Chain-of-Thought Prompts☆12Updated 2 years ago
- ☆114Updated last year