Alternatives and similar repositories for LESS

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

• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆574Updated 11 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆523Updated 9 months ago
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆266Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆649Updated 5 months ago
• dvlab-research / Step-DPO
  Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"
  ☆386Updated 9 months ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆344Updated last year
• MARIO-Math-Reasoning / Super_MARIO
  ☆342Updated 5 months ago
• tianyi-lab / Cherry_LLM
  [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…
  ☆400Updated 4 months ago
• QwenLM / AutoIF
  ☆314Updated last year
• RUCAIBox / Slow_Thinking_with_LLMs
  A series of technical report on Slow Thinking with LLM
  ☆743Updated 3 months ago
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆261Updated last year
• OFA-Sys / InsTag
  InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
  ☆281Updated 2 years ago
• Hongcheng-Gao / Awesome-Long2short-on-LRMs
  Awesome-Long2short-on-LRMs is a collection of state-of-the-art, novel, exciting long2short methods on large reasoning models. It contains…
  ☆256Updated 2 months ago
• ZigeW / data_management_LLM
  Collection of training data management explorations for large language models
  ☆335Updated last year
• lqtrung1998 / mwp_ReFT
  ☆548Updated 10 months ago
• THUDM / ReST-MCTS
  ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)
  ☆676Updated 9 months ago
• LuckyyySTA / Awesome-LLM-hallucination
  LLM hallucination paper list
  ☆324Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆165Updated last year
• wjn1996 / Awesome-LLM-Reasoning-Openai-o1-Survey
  The related works and background techniques about Openai o1
  ☆221Updated 10 months ago
• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆252Updated 6 months ago
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆382Updated last year
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆355Updated last year
• teacherpeterpan / self-correction-llm-papers
  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
  ☆556Updated last year
• GAIR-NLP / LIMR
  ☆212Updated 8 months ago
• eddycmu / demystify-long-cot
  ☆326Updated 5 months ago
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆925Updated 8 months ago
• THUNLP-MT / StableToolBench
  A new tool learning benchmark aiming at well-balanced stability and reality, based on ToolBench.
  ☆193Updated 6 months ago
• getao / icae
  The repo for In-context Autoencoder
  ☆150Updated last year
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆247Updated last year
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆318Updated last year