Alternatives and similar repositories for Prompting-with-Social-Roles

Users that are interested in Prompting-with-Social-Roles are comparing it to the libraries listed below

• mungg / FABLES
  ☆57Updated last year
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆163Updated last year
• msclar / formatspread
  Code accompanying "How I learned to start worrying about prompt formatting".
  ☆111Updated 4 months ago
• voidism / Lookback-Lens
  Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
  ☆135Updated this week
• yuxiaw / Factcheck-GPT
  Fact-Checking the Output of Generative Large Language Models in both Annotation and Evaluation.
  ☆105Updated last year
• tigerchen52 / awesome_role_of_small_models
  a curated list of the role of small models in the LLM era
  ☆105Updated last year
• ScalerLab / JudgeBench
  ☆102Updated 11 months ago
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆48Updated last year
• ntunlp / LLMSanitize
  An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).
  ☆56Updated last year
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆100Updated last month
• dwzhu-pku / LongEmbed
  LongEmbed: Extending Embedding Models for Long Context Retrieval (EMNLP 2024)
  ☆144Updated 11 months ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆123Updated 10 months ago
• microsoft / lost_in_conversation
  Code that accompanies the public release of the paper Lost in Conversation (https://arxiv.org/abs/2505.06120)
  ☆174Updated 3 months ago
• neulab / data-agora
  [ACL 2025 Main] Official Repository for "Evaluating Language Models as Synthetic Data Generators"
  ☆38Updated 10 months ago
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆89Updated last year
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated last year
• allenai / super-benchmark
  ☆47Updated 6 months ago
• rosewang2008 / bridge
  NAACL 2024. Code & Dataset for "🌁 Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistake…
  ☆43Updated last year
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆121Updated last year
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆40Updated last year
• princeton-nlp / LitSearch
  [EMNLP 2024] A Retrieval Benchmark for Scientific Literature Search
  ☆98Updated 10 months ago
• Liyan06 / MiniCheck
  MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents [EMNLP 2024]
  ☆185Updated last month
• pygongnlp / CoSearchAgent
  [SIGIR 2024 (Demo)] CoSearchAgent: A Lightweight Collborative Search Agent with Large Language Models
  ☆28Updated last year
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆133Updated last year
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆86Updated last year
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆71Updated last year
• tianyang-x / SaySelf
  Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"
  ☆109Updated last year
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• SALT-NLP / collaborative-gym
  Framework and toolkits for building and evaluating collaborative agents that can work together with humans.
  ☆102Updated last week