Alternatives and similar repositories for paradox-learning2reason

Users that are interested in paradox-learning2reason are comparing it to the libraries listed below

• linlu-qiu / lm-inductive-reasoning
  ☆33Updated last year
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆44Updated 3 years ago
• wellecks / naturalprover
  NaturalProver: Grounded Mathematical Proof Generation with Language Models
  ☆38Updated 2 years ago
• satwik77 / Transformer-Formal-Languages
  EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages
  ☆24Updated 4 years ago
• HKUNLP / subgoal-theorem-prover
  Code for the paper "Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving"
  ☆19Updated 2 years ago
• belindal / state-probes
  Code for the paper "Implicit Representations of Meaning in Neural Language Models"
  ☆54Updated 2 years ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• uclnlp / ctp
  Conditional Theorem Proving
  ☆53Updated 4 years ago
• mtensor / rulesynthesis
  Code for "Learning Compositional Rules via Neural Program Synthesis"
  ☆60Updated 4 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆108Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• Yale-LILY / FOLIO
  ☆131Updated last year
• albertqjiang / INT
  Official code for paper: INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
  ☆39Updated 2 years ago
• azreasoners / NeurASP
  ☆48Updated last year
• wellecks / naturalproofs
  NaturalProofs: Mathematical Theorem Proving in Natural Language (NeurIPS 2021 Datasets & Benchmarks)
  ☆133Updated 3 years ago
• castorini / transformers-arithmetic
  ☆38Updated 4 years ago
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆16Updated 8 months ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆12Updated last year
• trishullab / near
  ☆24Updated 4 years ago
• i-machine-think / am-i-compositional
  ☆62Updated 2 years ago
• rycolab / bayesian-mi
  This code accompanies the paper "Bayesian Framework for Information-Theoretic Probing" published in EMNLP 2021.
  ☆10Updated 4 years ago
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆30Updated last year
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆21Updated 2 years ago
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆32Updated 2 years ago
• probcomp / LLaMPPL
  A domain-specific probabilistic programming language for modeling and inference with language models
  ☆136Updated 5 months ago
• john-hewitt / dyckkm-learning
  Codebase implementing LMs for learning the Dyck-(k,m) bounded hierarchical language
  ☆15Updated 4 years ago
• ekinakyurek / compgen
  Paper: Learning to Recombine and Resample Data for Compositional Generalization
  ☆10Updated 4 years ago
• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago