Alternatives and similar repositories for HALoGEN

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

• Nanami18 / Snowballed_Hallucination
  ☆44Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• zthang / Focus
  ☆20Updated last year
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆80Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆64Updated 10 months ago
• SeaEval / SeaEval
  NAACL 2024: SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning
  ☆26Updated 7 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆116Updated last year
• GAIR-NLP / alignment-for-honesty
  ☆75Updated last year
• balevinstein / Probes
  ☆56Updated 2 years ago
• ellaneeman / disent_qa
  This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.
  ☆16Updated 2 years ago
• gsarti / pecore
  Materials for "Quantifying the Plausibility of Context Reliance in Neural Machine Translation" at ICLR'24 🐑 🐑
  ☆15Updated last year
• jzbjyb / lm-calibration
  ☆35Updated 3 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated last year
• lukemelas / mtob
  ☆39Updated last year
• AI21Labs / factor
  Code and data for the FACTOR paper
  ☆51Updated last year
• Betswish / MIRAGE
  Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://aclanthology.org/2024.emnlp-main.347/
  ☆25Updated 7 months ago
• jkallini / mission-impossible-language-models
  Code repository for the paper "Mission: Impossible Language Models."
  ☆54Updated 2 weeks ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 7 months ago
• mikejqzhang / SituatedQA
  ☆22Updated 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…
  ☆47Updated last year
• nayeon7lee / FactualityPrompt
  ☆86Updated 2 years ago
• RUCAIBox / Language-Specific-Neurons
  ☆84Updated 9 months ago
• GXimingLu / Quark
  ☆75Updated last year
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆41Updated 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
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆77Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated 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
• aviclu / ffn-values
  ☆64Updated 2 years ago