Alternatives and similar repositories for ZeroEval

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

• da03 / Internalize_CoT_Step_by_Step
  ☆203Updated 9 months ago
• allenai / WildBench
  Benchmarking LLMs with Challenging Tasks from Real Users
  ☆246Updated last year
• allenai / olmes
  Reproducible, flexible LLM evaluations
  ☆337Updated 2 weeks ago
• google-deepmind / loft
  LOFT: A 1 Million+ Token Long-Context Benchmark
  ☆225Updated 7 months ago
• JinjieNi / MixEval
  The official evaluation suite and dynamic data release for MixEval.
  ☆255Updated last year
• OSU-NLP-Group / GrokkedTransformer
  Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'
  ☆235Updated 6 months ago
• princeton-nlp / HELMET
  The HELMET Benchmark
  ☆198Updated 2 months ago
• nightdessert / Retrieval_Head
  open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality
  ☆229Updated last year
• SalesforceAIResearch / LaTRO
  ☆123Updated 11 months ago
• ryoungj / ObsScaling
  [NeurIPS'24 Spotlight] Observational Scaling Laws
  ☆58Updated last year
• da03 / implicit_chain_of_thought
  ☆140Updated last year
• huggingface / ioi
  ☆41Updated 10 months ago
• Re-Align / URIAL
  ☆313Updated last year
• ScalerLab / JudgeBench
  ☆107Updated last year
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆180Updated 7 months ago
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆169Updated last year
• booydar / babilong
  BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.
  ☆238Updated 5 months ago
• RulinShao / retrieval-scaling
  Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".
  ☆224Updated last month
• expz / quiet-star
  Implementation of the Quiet-STAR paper (https://arxiv.org/pdf/2403.09629.pdf)
  ☆53Updated last year
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆246Updated 4 months ago
• kyegomez / Lets-Verify-Step-by-Step
  "Improving Mathematical Reasoning with Process Supervision" by OPENAI
  ☆114Updated last week
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆111Updated 11 months ago
• kanishkg / cognitive-behaviors
  ☆224Updated 10 months ago
• openai / safety-rbr-code-and-data
  Code and example data for the paper: Rule Based Rewards for Language Model Safety
  ☆205Updated last year
• sail-sg / oat
  🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
  ☆627Updated last week
• eddycmu / demystify-long-cot
  ☆330Updated 8 months ago
• dwzhu-pku / PoSE
  Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)
  ☆209Updated last year
• architsharma97 / dpo-rlaif
  ☆99Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆93Updated last year
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆183Updated 8 months ago