Alternatives and similar repositories for subgoal-theorem-prover

Users that are interested in subgoal-theorem-prover are comparing it to the libraries listed below

• wellecks / naturalprover
  NaturalProver: Grounded Mathematical Proof Generation with Language Models
  ☆38Updated 2 years ago
• zhaoxlpku / SubgoalXL
  ☆25Updated last year
• chuanyang-Zheng / Lyra-theorem-prover
  The is the official implementation of "Lyra: Orchestrating Dual Correction in Automated Theorem Proving"
  ☆16Updated last year
• 3B-Group / ConvRe
  🤖ConvRe🤯: An Investigation of LLMs’ Inefficacy in Understanding Converse Relations (EMNLP 2023)
  ☆24Updated 2 years ago
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• iiis-ai / IterativeQuestionComposing
  [AAAI 2025] Augmenting Math Word Problems via Iterative Question Composing (https://arxiv.org/abs/2401.09003)
  ☆21Updated 3 weeks ago
• FranxYao / RDP
  Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization
  ☆14Updated 3 years ago
• linlu-qiu / lm-inductive-reasoning
  ☆33Updated last year
• wellecks / llemma_formal2formal
  Llemma formal2formal (tactic prediction) theorem proving experiments
  ☆20Updated 2 years ago
• chang-github-00 / LLM-Predictive-Decoding
  ☆14Updated 3 months ago
• allenai / Lila
  A unified benchmark for math reasoning
  ☆88Updated 2 years ago
• facebookresearch / mbr-exec
  code for "Natural Language to Code Translation with Execution"
  ☆41Updated 2 years ago
• qkaren / COLD_decoding
  ☆112Updated 3 years ago
• HKUNLP / SymGen
  [EMNLP'23] Code for Generating Data for Symbolic Language with Large Language Models
  ☆18Updated 2 years ago
• Timothyxxx / NeuralSymbolicPapers
  ☆15Updated 3 years ago
• FranxYao / Distributional-Generalization-in-Natural-Language-Processing
  Distributional Generalization in NLP. A roadmap.
  ☆88Updated 2 years ago
• da03 / Residual-EBM
  Code for Residual Energy-Based Models for Text Generation in PyTorch.
  ☆25Updated 4 years ago
• Some-random / theorem-proving-reasoning
  Code for the paper LeanReasoner: Boosting Complex Logical Reasoning with Lean: https://arxiv.org/pdf/2403.13312.pdf
  ☆22Updated last year
• SumilerGAO / SunGen
  ☆27Updated 2 years ago
• princeton-nlp / NLProofS
  EMNLP 2022: Generating Natural Language Proofs with Verifier-Guided Search https://arxiv.org/abs/2205.12443
  ☆86Updated last year
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆27Updated 2 years ago
• LZhengisme / self-infilling
  [ICML 2024] Self-Infilling Code Generation
  ☆18Updated last year
• felixzli / synthetic_pretraining
  ☆38Updated 3 years ago
• benlipkin / linc
  🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]
  ☆77Updated last year
• joshuacnf / paradox-learning2reason
  ☆36Updated 10 months ago
• rookie-joe / FormalAlign
  ☆17Updated 3 months ago
• allenai / numglue
  NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
  ☆20Updated 3 years ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆97Updated 4 years ago
• lupantech / ineqmath
  Solving Inequality Proofs with Large Language Models.
  ☆49Updated last week
• asaparov / prontoqa
  Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.
  ☆150Updated last month