Alternatives and similar repositories for street-reasoning

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

• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆26Updated 2 years ago
• SumilerGAO / SunGen
  ☆27Updated 2 years ago
• Zce1112zslx / IKE
  ☆41Updated last year
• yanaiela / pararel
  ☆44Updated last year
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆40Updated 2 years ago
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆22Updated 2 years ago
• yikee / Knowledge_Conflict
  Resolving Knowledge Conflicts in Large Language Models, COLM 2024
  ☆17Updated last week
• jiacheng-ye / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆48Updated 3 years ago
• jaehunjung1 / Maieutic-Prompting
  ☆50Updated last year
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆101Updated 2 years ago
• xiye17 / TextualExplInContext
  The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)
  ☆15Updated 2 years ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆26Updated 8 months ago
• swarnaHub / ExplaGraphs
  [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
  ☆12Updated 2 years ago
• HKUNLP / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆16Updated 3 years ago
• INK-USC / FiD-ICL
  "FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)
  ☆14Updated last year
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆72Updated 3 years ago
• launchnlp / BOLT
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆21Updated last year
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆27Updated 9 months ago
• fywalter / label-bias
  A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning
  ☆10Updated last year
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 2 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• allenai / numglue
  NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
  ☆20Updated 3 years ago
• matt-seb-ho / WikiWhy
  WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…
  ☆47Updated last year
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆41Updated last year
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆28Updated 9 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated last year
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 9 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆60Updated 7 months ago