Alternatives and similar repositories for dices-dataset

Users that are interested in dices-dataset are comparing it to the libraries listed below

• nyu-mll / BBQ
  Repository for the Bias Benchmark for QA dataset.
  ☆132Updated last year
• tatsu-lab / opinions_qa
  ☆116Updated last year
• sciai-lab / Truth_is_Universal
  ☆28Updated last year
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆194Updated last year
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆120Updated 2 months ago
• wesg52 / sparse-probing-paper
  Sparse probing paper full code.
  ☆65Updated last year
• HannahKirk / prism-alignment
  The Prism Alignment Project
  ☆86Updated last year
• OAfzal / nlp-for-peer-review
  ☆49Updated last year
• hannamw / EAP-IG
  ☆61Updated 4 months ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆67Updated last year
• balevinstein / Probes
  ☆57Updated 2 years ago
• asaparov / prontoqa
  Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.
  ☆154Updated 2 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 7 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆116Updated 9 months ago
• nrimsky / LM-exp
  LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces
  ☆99Updated 2 years ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆24Updated last year
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆84Updated last year
• evandez / REMEDI
  Inspecting and Editing Knowledge Representations in Language Models
  ☆119Updated 2 years ago
• i-gallegos / Fair-LLM-Benchmark
  ☆156Updated 2 years ago
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆47Updated last year
• neubig / research-career-tools
  ☆165Updated last year
• McGill-NLP / bias-bench
  ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.
  ☆151Updated 3 months ago
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆80Updated last year
• centerforaisafety / wmdp
  WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning m…
  ☆155Updated 5 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆145Updated 5 months ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆29Updated last year
• SALT-NLP / chain-of-thought-bias
  ☆28Updated last year
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆141Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• jianggy / MPI
  This repo contains code for our NeurIPS 2023 spotlight paper: Evaluating and Inducing Personality in Pre-trained Language Models
  ☆55Updated last year