Alternatives and similar repositories for x-LLM

Users that are interested in x-LLM are comparing it to the libraries listed below

• qinyiwei / InfoBench
  ☆58Updated last year
• GAIR-NLP / MoPS
  [ACL 2024] Code for "MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation"
  ☆42Updated last year
• lemon0830 / TIM
  code for Teaching LM to Translate with Comparison
  ☆39Updated 2 years ago
• Spico197 / awesome-lm-evaluation
  🩺 A collection of ChatGPT evaluation reports on various bechmarks.
  ☆50Updated 2 years ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated 11 months ago
• DAMO-NLP-SG / TempReason
  ☆32Updated 2 years ago
• WadeYin9712 / Dynosaur
  Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)
  ☆64Updated 2 years ago
• Alsace08 / SumCoT
  [ACL 2023] Code and Data Repo for Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"
  ☆53Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆42Updated 2 years ago
• nayeon7lee / FactualityPrompt
  ☆88Updated 3 years ago
• realtimeqa / realtimeqa_public
  ☆84Updated last week
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆102Updated last year
• nlp-uoregon / mlmm-evaluation
  Multilingual Large Language Models Evaluation Benchmark
  ☆133Updated last year
• iwangjian / TopDial
  Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)
  ☆31Updated 3 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆63Updated 2 years ago
• gpt4life / alpagasus
  Unofficial implementation of AlpaGasus
  ☆94Updated 2 years ago
• Spico197 / MoE-SFT
  🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
  ☆41Updated last year
• nayeon7lee / factuality_enhanced_lm_hf
  ☆13Updated 3 years ago
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆85Updated 2 years ago
• prakharguptaz / Instructdial
  Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
  ☆100Updated 2 years ago
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆59Updated last year
• wxjiao / ParroT
  The ParroT framework to enhance and regulate the Translation Abilities during Chat based on open-sourced LLMs (e.g., LLaMA-7b, Bloomz-7b1…
  ☆177Updated last year
• FreedomIntelligence / MultilingualSIFT
  MultilingualSIFT: Multilingual Supervised Instruction Fine-tuning
  ☆95Updated 2 years ago
• Adaxry / Post-Instruction
  ☆21Updated 2 years ago
• ChiyuSONG / dynamics-of-instruction-tuning
  ☆17Updated 11 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 8 months ago
• NJUNLP / QAlign
  ☆39Updated 2 years ago
• xiami2019 / CLAIF
  [Findings of ACL'2023] Improving Contrastive Learning of Sentence Embeddings from AI Feedback
  ☆40Updated 2 years ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆23Updated last year