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"
  ☆137Updated 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 8 months ago
• OSU-NLP-Group / Middleware
  Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)
  ☆37Updated 10 months ago
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆159Updated 8 months ago
• shengliu66 / ICV
  Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
  ☆192Updated 9 months ago
• 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`.
  ☆155Updated 2 years ago
• SALT-NLP / demonstrated-feedback
  ☆129Updated last year
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆127Updated 11 months ago
• 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
• jiangjiechen / auction-arena
  Source code for our paper: "Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction A…
  ☆47Updated last year
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆89Updated last year
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆122Updated last year
• allenai / WildBench
  Benchmarking LLMs with Challenging Tasks from Real Users
  ☆244Updated last year
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆82Updated last year
• DataArcTech / LLM-as-a-Judge
  ☆152Updated last month
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆48Updated 9 months ago
• da03 / implicit_chain_of_thought
  ☆139Updated last year
• jakespringer / echo-embeddings
  ☆156Updated last year
• ytyz1307zzh / RefAug
  Code for EMNLP 2024 paper "Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning"
  ☆56Updated last year
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated last year
• rxlqn / awesome-llm-self-reflection
  augmented LLM with self reflection
  ☆134Updated last year
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆91Updated last year
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆110Updated 3 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆140Updated 4 months ago
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆167Updated last year
• SALT-NLP / collaborative-gym
  Framework and toolkits for building and evaluating collaborative agents that can work together with humans.
  ☆107Updated 2 weeks ago
• kyegomez / Lets-Verify-Step-by-Step
  "Improving Mathematical Reasoning with Process Supervision" by OPENAI
  ☆111Updated 3 weeks ago