Alternatives and similar repositories for DecomP

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

• salesforce / factualNLG
  Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"
  ☆59Updated 6 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• FreedomIntelligence / ReasoningNLP
  paper list on reasoning in NLP
  ☆191Updated 4 months ago
• i-Eval / FairEval
  ☆140Updated last year
• princeton-nlp / TRIME
  [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
  ☆197Updated 2 years ago
• GanjinZero / math401-llm
  Source codes and datasets for How well do Large Language Models perform in Arithmetic tasks?
  ☆57Updated 2 years ago
• dki-lab / Pangu
  Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
  ☆77Updated 3 months ago
• THU-KEG / KoLA
  [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.
  ☆51Updated last year
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆96Updated 2 years ago
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆162Updated last year
• 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
• nelson-liu / evaluating-verifiability-in-generative-search-engines
  Companion repo for "Evaluating Verifiability in Generative Search Engines".
  ☆83Updated 2 years ago
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆29Updated 11 months ago
• AlexTMallen / adaptive-retrieval
  ☆184Updated last month
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 9 months ago
• chaochun / nlu-asdiv-dataset
  ☆48Updated 2 years ago
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆77Updated 2 years ago
• Alrope123 / rethinking-demonstrations
  ☆177Updated last year
• wenhuchen / Time-Sensitive-QA
  Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
  ☆73Updated 3 years ago
• orhonovich / instruction-induction
  ☆67Updated 3 years ago
• liujch1998 / rainier
  ☆28Updated last year
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆77Updated 2 years ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆129Updated last year
• RUCAIBox / ChatCoT
  The official repository of "ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models"
  ☆44Updated 2 years ago
• princeton-nlp / Collie
  [ICLR 2024] COLLIE: Systematic Construction of Constrained Text Generation Tasks
  ☆54Updated 2 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated 2 years ago