Alternatives and similar repositories for lm-contamination:

Users that are interested in lm-contamination are comparing it to the libraries listed below

• yanaiela / pararel
  ☆44Updated last year
• Betswish / MIRAGE
  Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://aclanthology.org/2024.emnlp-main.347/
  ☆22Updated last month
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆76Updated 2 years ago
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆56Updated 2 years ago
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆41Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆58Updated last year
• nelson-liu / evaluating-verifiability-in-generative-search-engines
  Companion repo for "Evaluating Verifiability in Generative Search Engines".
  ☆83Updated last year
• ntunlp / LLMSanitize
  An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).
  ☆52Updated 8 months ago
• Yale-LILY / ROSE
  ☆38Updated last year
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆71Updated 2 years ago
• awebson / prompt_semantics
  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
  ☆85Updated 2 years ago
• princeton-nlp / NLProofS
  EMNLP 2022: Generating Natural Language Proofs with Verifier-Guided Search https://arxiv.org/abs/2205.12443
  ☆84Updated 7 months ago
• microsoft / HaDes
  Token-level Reference-free Hallucination Detection
  ☆94Updated last year
• google-deepmind / streamingqa
  ☆46Updated last year
• zorazrw / multilingual-conala
  [EACL'23] MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages
  ☆23Updated 2 years ago
• jzbjyb / lm-calibration
  ☆34Updated 3 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆99Updated 2 years ago
• McGill-NLP / FaithDial
  ☆48Updated 2 years ago
• tzshi / squall
  Data and Code Release for "On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries"
  ☆51Updated 4 years ago
• project-miracl / hagrid
  A Human-LLM Collaborative Dataset for Generative Information-seeking with Attribution
  ☆31Updated last year
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆64Updated 2 years ago
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆28Updated 7 months ago
• realtimeqa / realtimeqa_public
  ☆73Updated last year
• violet-zct / fairseq-detect-hallucination
  Detect hallucinated tokens for conditional sequence generation.
  ☆64Updated 3 years ago
• zorazrw / odex
  [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation
  ☆47Updated last year
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆20Updated 8 months ago
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆137Updated 3 years ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 7 months ago
• sunlab-osu / Understanding-CoT
  ☆86Updated last year