Alternatives and similar repositories for superhuman-ai-consistency:

Users that are interested in superhuman-ai-consistency are comparing it to the libraries listed below

• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆20Updated 2 months ago
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆14Updated 3 weeks ago
• ctlllll / reward_collapse
  ☆26Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆17Updated 7 months ago
• katiekang1998 / reasoning_generalization
  ☆26Updated last month
• samuelarnesen / nyu-debate-modeling
  ☆20Updated 4 months ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆28Updated last year
• snu-mllab / Neural-Relation-Graph
  Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
  ☆15Updated last year
• UW-Madison-Lee-Lab / Expressive_Power_of_LoRA
  Code for "The Expressive Power of Low-Rank Adaptation".
  ☆19Updated 10 months ago
• jmerullo / lm_vector_arithmetic
  ☆31Updated last year
• uscnlp-lime / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated 11 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆29Updated 3 weeks ago
• upiterbarg / lintseq
  [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)
  ☆14Updated last week
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆18Updated 3 weeks ago
• jiahai-feng / binding-iclr
  ☆12Updated 11 months ago
• max-andr / adversarial-random-search-gpt4
  Adversarial Attacks on GPT-4 via Simple Random Search [Dec 2023]
  ☆43Updated 9 months ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆15Updated 2 years ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆46Updated last year
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆54Updated 5 months ago
• peterljq / Parsimonious-Concept-Engineering
  Implementation of PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆32Updated 3 months ago
• cassidylaidlaw / orpo
  ☆13Updated 3 months ago
• codezakh / DataEnvGym
  A testbed for agents and environments that can automatically improve models through data generation.
  ☆18Updated 2 months ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 6 months ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆20Updated last month
• ctlllll / understanding_llm_benchmarks
  Understanding the correlation between different LLM benchmarks
  ☆29Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• scalable-model-editing / unified-model-editing
  We introduce EMMET and unify model editing with popular algorithms ROME and MEMIT.
  ☆15Updated 2 months ago
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆64Updated 8 months ago