Alternatives and similar repositories for understanding-decoding

Users that are interested in understanding-decoding are comparing it to the libraries listed below

• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆30Updated last year
• allenai / entailment_bank
  ☆45Updated 2 years ago
• allenai / openpi-dataset
  OpenPI dataset for tracking entities in open domain procedural text
  ☆24Updated last year
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated last year
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆97Updated 4 years ago
• yanaiela / pararel
  ☆46Updated last year
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• cognitiveailab / TextWorldExpress
  Super fast implementations of common benchmark text world games
  ☆51Updated last month
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆111Updated 2 years ago
• felixzli / synthetic_pretraining
  ☆38Updated 3 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
• nouhadziri / faith-and-fate
  ☆36Updated last year
• google-deepmind / streamingqa
  ☆49Updated last year
• HKUNLP / subgoal-theorem-prover
  Code for the paper "Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving"
  ☆19Updated 2 years ago
• salesforce / creativity_eval
  ☆38Updated last week
• aryamanarora / causalgym
  CausalGym: Benchmarking causal interpretability methods on linguistic tasks
  ☆47Updated 10 months ago
• allenai / few_shot_explanations
  Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
  ☆31Updated 2 years ago
• asaparov / prontoqa
  Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.
  ☆150Updated last month
• Strong-AI-Lab / Logical-and-abstract-reasoning
  Evaluation on Logical Reasoning and Abstract Reasoning Challenges
  ☆28Updated 5 months ago
• XiangLi1999 / AutoBencher
  ☆31Updated last year
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• xxxiaol / magic-if
  Source code and data for The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code (Findings of ACL 2023…
  ☆29Updated 2 years ago
• yikangshen / megablocks
  ☆20Updated last year
• stanford-futuredata / Baleen
  Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)
  ☆45Updated 3 years ago
• debjitpaul / refiner
  About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…
  ☆70Updated last year
• qkaren / COLD_decoding
  ☆112Updated 3 years ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆28Updated last year
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆99Updated 2 years ago
• allenai / dream
  ☆24Updated last year