Alternatives and similar repositories for or-bench

Users that are interested in or-bench are comparing it to the libraries listed below

• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆39Updated 10 months ago
• tatsu-lab / test_set_contamination
  ☆38Updated last year
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆31Updated 8 months ago
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆80Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆129Updated 3 months ago
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆28Updated last year
• MadryLab / DsDm
  ☆50Updated last year
• ChnQ / TracingLLM
  ☆30Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆43Updated 5 months ago
• safety-research / SHADE-Arena
  ☆19Updated 3 months ago
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated 2 years ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆97Updated last year
• lingo-mit / lm-truthfulness
  ☆17Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆78Updated 6 months ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated last month
• Pranjal2041 / AdaptiveConsistency
  Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
  ☆39Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 6 months ago
• lmarena / PPE
  ☆52Updated 4 months ago
• milesaturpin / cot-unfaithfulness
  ☆48Updated last year
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆59Updated last year
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆60Updated last month
• y0mingzhang / diffuse-distributions
  Forcing Diffuse Distributions out of Language Models
  ☆17Updated last year
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆62Updated 9 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 5 months ago
• azshue / AutoPoison
  The official repository of the paper "On the Exploitability of Instruction Tuning".
  ☆64Updated last year
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆39Updated last year
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆29Updated 7 months ago
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆27Updated last year
• ryoungj / ObsScaling
  [NeurIPS'24 Spotlight] Observational Scaling Laws
  ☆58Updated 11 months ago
• mcleish7 / gemstone-scaling-laws
  ☆29Updated 7 months ago