Alternatives and similar repositories for emnlp2024-code-prompting

Users that are interested in emnlp2024-code-prompting are comparing it to the libraries listed below

• ShiZhengyan / PowerfulPromptFT
  [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…
  ☆75Updated last year
• psunlpgroup / ReaLMistake
  This repository includes a benchmark and code for the paper "Evaluating LLMs at Detecting Errors in LLM Responses".
  ☆30Updated last year
• abhika-m / FAVA
  ☆74Updated last year
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆48Updated 7 months ago
• belindal / ERASE
  Code and Data for "Language Modeling with Editable External Knowledge"
  ☆34Updated last year
• alon-albalak / FLAD
  Few-shot Learning with Auxiliary Data
  ☆31Updated last year
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆47Updated last year
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆26Updated 7 months ago
• microsoft / deep-language-networks
  We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts…
  ☆94Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆44Updated last year
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• THUNLP-MT / PGRA
  Prompt-Guided Retrieval For Non-Knowledge-Intensive Tasks
  ☆12Updated 2 years ago
• allenai / CommaQA
  Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents
  ☆24Updated 3 years ago
• kumar-shridhar / Screws
  SCREWS: A Modular Framework for Reasoning with Revisions
  ☆27Updated last year
• csinva / tree-prompt
  Tree prompting: easy-to-use scikit-learn interface for improved prompting.
  ☆40Updated last year
• zorazrw / odex
  [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation
  ☆48Updated last year
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated last year
• 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
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆86Updated last year
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 7 months ago
• EleutherAI / semantic-memorization
  ☆44Updated 9 months ago
• nlp-uoregon / ullme
  ☆20Updated 4 months ago
• allenai / dream
  ☆24Updated last year
• technion-cs-nlp / hallucination-mitigation
  ☆22Updated 8 months ago
• scandukuri / assistant-gate
  ☆29Updated last year
• ZeroSumEval / ZeroSumEval
  A framework for pitting LLMs against each other in an evolving library of games ⚔
  ☆33Updated 4 months ago
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated last year
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆31Updated 7 months ago
• Tebmer / Rereading-LLM-Reasoning
  EMNLP 2024 "Re-reading improves reasoning in large language models". Simply repeating the question to get bidirectional understanding for…
  ☆26Updated 8 months ago
• SalesforceAIResearch / FoFo
  ☆28Updated 7 months ago