Alternatives and similar repositories for SVAMP

Users that are interested in SVAMP are comparing it to the libraries listed below

• chaochun / nlu-asdiv-dataset
  ☆49Updated 2 years ago
• Alrope123 / rethinking-demonstrations
  ☆177Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆133Updated 2 years ago
• FreedomIntelligence / ReasoningNLP
  paper list on reasoning in NLP
  ☆192Updated 6 months ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• AlexTMallen / adaptive-retrieval
  ☆189Updated 3 months ago
• GXimingLu / Quark
  ☆75Updated last year
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• yilunzhao / Awsome-Table-Reasoning
  A comprehensive paper list of Reasoning over Tables.
  ☆29Updated 2 years ago
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆80Updated 2 years ago
• swj0419 / in-context-pretraining
  ☆54Updated last year
• OhadRubin / EPR
  ☆64Updated 2 years ago
• allenai / DecomP
  Repository for Decomposed Prompting
  ☆95Updated last year
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 11 months ago
• KaiLv69 / UDR
  ACL'23: Unified Demonstration Retriever for In-Context Learning
  ☆37Updated last year
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• zthang / Focus
  ☆20Updated last year
• jiachangliu / KATEGPT3
  ☆36Updated 2 years ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆141Updated 3 years ago
• ellaneeman / disent_qa
  This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.
  ☆16Updated 2 years ago
• Mayer123 / UDT-QA
  Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)
  ☆56Updated 2 years ago
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆196Updated 2 years ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 7 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆121Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆116Updated last year
• DevSinghSachan / art
  Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
  ☆63Updated 2 years ago
• Yale-LILY / FeTaQA
  Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"
  ☆82Updated 2 years ago