Alternatives and similar repositories for concord

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

• ThomasScialom / T0_continual_learning
  Adding new tasks to T0 without catastrophic forgetting
  ☆33Updated 3 years ago
• yanaiela / pararel
  ☆46Updated last year
• joeljang / ELM
  [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  ☆98Updated 2 years ago
• yumeng5 / SuperGen
  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
  ☆69Updated 3 years ago
• neulab / retomaton
  PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
  ☆73Updated 3 years ago
• yxuansu / Contrastive_Search_versus_Contrastive_Decoding
  An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation
  ☆27Updated last year
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆111Updated 2 years ago
• MikeWangWZHL / Zemi
  Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
  ☆16Updated 2 years ago
• r-three / fib
  ☆26Updated 2 years ago
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• kernelmachine / silo-lm
  SILO Language Models code repository
  ☆83Updated last year
• jiacheng-ye / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆48Updated 3 years ago
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆17Updated last year
• swarnaHub / SummarizationPrograms
  [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
  ☆24Updated 2 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• jzbjyb / lm-calibration
  ☆35Updated 3 years ago
• oriyor / turning_tables
  Implementation of the paper: "Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning…
  ☆22Updated 4 years ago
• feyzaakyurek / rl4f
  Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
  ☆64Updated 11 months ago
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆31Updated last year
• allenai / feb
  Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"
  ☆13Updated 3 years ago
• csitfun / LogiCoT
  the instructions and demonstrations for building a formal logical reasoning capable GLM
  ☆55Updated last year
• dmis-lab / TouR
  Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval
  ☆30Updated 2 years ago
• kaistAI / factual-knowledge-acquisition
  ☆23Updated last week
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• nicola-decao / KnowledgeEditor
  Code for Editing Factual Knowledge in Language Models
  ☆142Updated 3 years ago
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆54Updated 4 years ago
• princeton-nlp / ShortcutGrammar
  EMNLP 2022: Finding Dataset Shortcuts with Grammar Induction https://arxiv.org/abs/2210.11560
  ☆57Updated 8 months ago
• kayoyin / interpret-lm
  Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)
  ☆62Updated 3 years ago
• allenai / csqa2
  ☆36Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆59Updated 2 years ago