Alternatives and similar repositories for llm-self-correction-papers

Users that are interested in llm-self-correction-papers are comparing it to the libraries listed below

• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 11 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences
  ☆71Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆50Updated last month
• kaiyuhwang / MLLM-Survey
  The paper list of multilingual pre-trained models (Continual Updated).
  ☆22Updated last year
• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆102Updated 4 months ago
• bigcode-project / astraios
  Astraios: Parameter-Efficient Instruction Tuning Code Language Models
  ☆58Updated last year
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆75Updated 10 months ago
• du-nlp-lab / MLR-Copilot
  ☆66Updated 3 months ago
• abhika-m / FAVA
  ☆72Updated last year
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆85Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆35Updated 9 months ago
• xhan77 / in-context-alignment
  In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning
  ☆35Updated last year
• kaistAI / factual-knowledge-acquisition
  ☆20Updated 2 months ago
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆47Updated 5 months ago
• sher222 / LeReT
  Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
  ☆39Updated 8 months ago
• google-deepmind / bbeh
  ☆83Updated 2 months ago
• GAIR-NLP / AIME-Preview
  ☆70Updated 4 months ago
• srush / LLM-Talk
  ☆51Updated last year
• SALT-NLP / demonstrated-feedback
  ☆124Updated 9 months ago
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆48Updated 7 months ago
• GAIR-NLP / ReAlign
  Reformatted Alignment
  ☆113Updated 9 months ago
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 5 months ago
• kyegomez / Reka-Torch
  Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
  ☆30Updated 2 weeks ago
• psunlpgroup / GreaTer
  Source code for GreaTer ICLR 2025 - Gradient Over Reasoning makes Smaller Language Models Strong Prompt Optimizers
  ☆31Updated 2 months ago
• jdf-prog / LLM-Engines
  ☆50Updated last month
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆56Updated last year
• kyegomez / Infini-attention
  Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…
  ☆55Updated 2 weeks ago