Alternatives and similar repositories for DialCoT

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

• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated 2 years ago
• Zce1112zslx / IKE
  ☆41Updated 2 years ago
• Spico197 / awesome-lm-evaluation
  🩺 A collection of ChatGPT evaluation reports on various bechmarks.
  ☆50Updated 2 years ago
• Shark-NLP / self-adaptive-ICL
  self-adaptive in-context learning
  ☆45Updated 2 years ago
• OhadRubin / EPR
  ☆64Updated 3 years ago
• KaiLv69 / UDR
  ACL'23: Unified Demonstration Retriever for In-Context Learning
  ☆38Updated 2 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years 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
• xiami2019 / CLAIF
  [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback
  ☆40Updated 2 years ago
• zjunlp / TRICE
  [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback
  ☆42Updated last year
• feyzaakyurek / dune
  Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.
  ☆22Updated last year
• liyongqi67 / MMCoQA
  ☆32Updated 2 years ago
• liujch1998 / rainier
  ☆28Updated last year
• Zeng-WH / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆59Updated 3 years ago
• THU-KEG / COPEN
  The official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".
  ☆21Updated 2 years ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆64Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆85Updated last year
• THUNLP-MT / SKR
  Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)
  ☆28Updated 2 years ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆118Updated last year
• lfy79001 / RegHNT
  Code for COLING 2022 long paper: Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-…
  ☆22Updated 3 years ago
• fanqiwan / Explore-Instruct
  EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
  ☆36Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆63Updated 2 years ago
• dqxiu / CaliNet
  ☆32Updated 3 years ago
• wyu97 / RACo
  Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.
  ☆23Updated 3 years ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆134Updated last year
• c-box / KnowledgeLifecycle
  Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"
  ☆59Updated 2 years ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• eladsegal / strategyqa
  The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
  ☆82Updated 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…
  ☆48Updated 2 years ago