Alternatives and similar repositories for KNNPrompting

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

• OhadRubin / EPR
  ☆64Updated 2 years ago
• JetRunner / SuperICL
  Code for "Small Models are Valuable Plug-ins for Large Language Models"
  ☆131Updated 2 years ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• Shark-NLP / self-adaptive-ICL
  self-adaptive in-context learning
  ☆45Updated 2 years ago
• Alrope123 / rethinking-demonstrations
  ☆176Updated last year
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆111Updated 2 years ago
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆107Updated last year
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆30Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆83Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆102Updated 2 years ago
• i-Eval / FairEval
  ☆140Updated 2 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…
  ☆62Updated 2 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆102Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 10 months ago
• c-box / KnowledgeLifecycle
  Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"
  ☆59Updated 2 years ago
• princeton-nlp / c-sts
  [EMNLP 2023] C-STS: Conditional Semantic Textual Similarity
  ☆73Updated last year
• Hzfinfdu / MPMP
  ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
  ☆40Updated 2 years ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆102Updated last year
• THU-KEG / KoLA
  [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.
  ☆51Updated 2 years ago
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• KaiLv69 / UDR
  ACL'23: Unified Demonstration Retriever for In-Context Learning
  ☆37Updated last year
• zjunlp / TRICE
  [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback
  ☆42Updated last year
• ChicagoHAI / active-example-selection
  Active Example Selection for In-Context Learning (EMNLP'22)
  ☆49Updated last year
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago
• swj0419 / in-context-pretraining
  ☆54Updated last year
• liujch1998 / rainier
  ☆28Updated last year
• hongbinye / Cognitive-Mirage-Hallucinations-in-LLMs
  Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"
  ☆47Updated last year
• txsun1997 / Black-Box-Tuning
  ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…
  ☆271Updated 2 years ago