reasoning-machines / CoCoGen
Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)
☆86Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CoCoGen
- [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation☆43Updated 10 months ago
- Repository for Decomposed Prompting☆82Updated 11 months ago
- A unified benchmark for math reasoning☆87Updated last year
- Supporting code for ReCEval paper☆26Updated last month
- Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI☆91Updated last year
- ☆50Updated last year
- The LM Contamination Index is a manually created database of contamination evidences for LMs.☆75Updated 6 months ago
- Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)☆79Updated last year
- [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.☆24Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆92Updated last year
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆71Updated 2 years ago
- ☆134Updated 2 years ago
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆156Updated 6 months ago
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆92Updated 9 months ago
- ☆76Updated last year
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆105Updated last year
- Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments☆71Updated 9 months ago
- About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…☆66Updated 8 months ago
- A set of utilities for running few-shot prompting experiments on large-language models☆112Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆37Updated 7 months ago
- The data and the PyTorch implementation for the models and experiments in the paper "Exploiting Asymmetry for Synthetic Training Data Gen…☆58Updated last year
- Inspecting and Editing Knowledge Representations in Language Models☆107Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆48Updated 8 months ago
- 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
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated last year
- ☆82Updated last year
- The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".☆61Updated last year
- ☆36Updated 7 months ago
- ☆63Updated 2 years ago
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆104Updated 5 months ago