Alternatives and similar repositories for emergent_analogies_LLM

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

• ekinakyurek / google-research
  Google Research
  ☆46Updated 2 years ago
• feradauto / MoralCoT
  Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
  ☆38Updated 2 years ago
• jmerullo / lm_vector_arithmetic
  ☆35Updated 2 years ago
• shauli-ravfogel / rlace-icml
  ☆36Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆58Updated last year
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 9 months ago
• google-deepmind / emergent_in_context_learning
  ☆84Updated 10 months ago
• belindal / LaMPP
  Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action
  ☆37Updated 2 years ago
• justinlovelace / Diffusion-Guided-LM
  ☆27Updated 9 months ago
• linlu-qiu / lm-inductive-reasoning
  ☆34Updated last year
• skywalker023 / fantom
  👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"
  ☆55Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• naver / disco
  A Toolkit for Distributional Control of Generative Models
  ☆73Updated last year
• google / belief-localization
  This repository includes code for the paper "Does Localization Inform Editing? Surprising Differences in Where Knowledge Is Stored vs. Ca…
  ☆61Updated 2 years ago
• allenai / dream
  ☆24Updated 9 months ago
• snap-stanford / zeroc
  ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…
  ☆32Updated 2 years ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆35Updated 10 months ago
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆28Updated last year
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated last year
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• EleutherAI / w2s
  ☆23Updated 8 months ago
• neulab / ToM-Language-Acquisition
  Code used to run experiments for the ICLR 2023 paper "Computational Language Acquisition with Theory of Mind".
  ☆14Updated 2 years ago
• guy-dar / embedding-space
  ☆54Updated last year
• xiamengzhou / training_trajectory_analysis
  [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf
  ☆24Updated last year
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆26Updated 2 years ago
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• multimodal-interpretability / FIND
  Official implementation of FIND (NeurIPS '23) Function Interpretation Benchmark and Automated Interpretability Agents
  ☆49Updated 8 months ago
• evandez / REMEDI
  Inspecting and Editing Knowledge Representations in Language Models
  ☆116Updated last year
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆74Updated last year
• CEBaBing / CEBaB
  CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
  ☆12Updated 2 years ago