Alternatives and similar repositories for lm-inductive-reasoning

Users that are interested in lm-inductive-reasoning are comparing it to the libraries listed below

• ZhaofengWu / counterfactual-evaluation
  ☆56Updated 2 months ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆108Updated 2 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…
  ☆94Updated 3 years ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆100Updated last year
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆29Updated 10 months ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated 10 months ago
• gregorbachmann / Next-Token-Failures
  ☆89Updated last year
• cicl-stanford / procedural-evals-tom
  ☆33Updated 2 years ago
• xiye17 / TextualExplInContext
  The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)
  ☆16Updated 2 years ago
• WANGXinyiLinda / LM_random_walk
  Official code for paper Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
  ☆20Updated last year
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆29Updated 6 months ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• asaparov / prontoqa
  Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.
  ☆147Updated 9 months ago
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆27Updated 2 years ago
• launchnlp / BOLT
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆20Updated last year
• qkaren / COLD_decoding
  ☆108Updated 3 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
• nouhadziri / faith-and-fate
  ☆34Updated last year
• allenai / csqa2
  ☆36Updated last year
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆75Updated last year
• mandyyyyii / scibench
  ☆125Updated last year
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago
• neubig / research-career-tools
  ☆163Updated 8 months ago
• McGill-NLP / polytropon
  ☆54Updated 2 years ago
• jaehunjung1 / Maieutic-Prompting
  ☆50Updated last year
• joeljang / RLPHF
  Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
  ☆108Updated last year
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• google-research-datasets / GSM-IC
  Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…
  ☆60Updated 2 years ago
• amazon-science / street-reasoning
  STREET: a multi-task and multi-step reasoning dataset
  ☆23Updated last year