Alternatives and similar repositories for SaySelf

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

• voidism / Lookback-Lens
  Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
  ☆141Updated last month
• yueyu1030 / AttrPrompt
  [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
  ☆156Updated 2 years ago
• shengliu66 / ICV
  Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
  ☆193Updated 9 months ago
• ytyz1307zzh / RefAug
  Code for EMNLP 2024 paper "Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning"
  ☆56Updated last year
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆159Updated 3 weeks ago
• OSU-NLP-Group / Middleware
  Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)
  ☆37Updated 11 months ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆129Updated last year
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆123Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆112Updated 4 months ago
• jakespringer / echo-embeddings
  ☆157Updated last year
• SALT-NLP / demonstrated-feedback
  ☆129Updated last year
• da03 / implicit_chain_of_thought
  ☆139Updated 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
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆84Updated last year
• rxlqn / awesome-llm-self-reflection
  augmented LLM with self reflection
  ☆135Updated 2 years ago
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆90Updated last year
• DataArcTech / LLM-as-a-Judge
  ☆157Updated last month
• declare-lab / trust-align
  Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Ref…
  ☆68Updated 9 months ago
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆48Updated 10 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆34Updated last year
• neulab / gemini-benchmark
  ☆150Updated 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
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆164Updated last year
• cxcscmu / Montessori-Instruct
  Official repository for Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning [ICLR 2025]
  ☆50Updated 10 months ago
• David-Li0406 / Preference-Leakage
  ☆52Updated 6 months ago
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated last year
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆43Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆150Updated 5 months ago