Alternatives and similar repositories for RECITE

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

• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆137Updated last year
• kernelmachine / silo-lm
  SILO Language Models code repository
  ☆83Updated last year
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆116Updated 6 months ago
• veronica320 / Faithful-COT
  Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".
  ☆165Updated last year
• seonghyeonye / TAPP
  [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
  ☆78Updated last year
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆71Updated 2 years ago
• allenai / Lila
  A unified benchmark for math reasoning
  ☆89Updated 2 years ago
• Anni-Zou / Meta-CoT
  Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
  ☆100Updated 2 years ago
• SALT-NLP / demonstrated-feedback
  ☆129Updated last year
• salesforce / factualNLG
  Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"
  ☆61Updated 11 months ago
• debjitpaul / refiner
  About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…
  ☆73Updated last year
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆87Updated last year
• reasoning-machines / prompt-lib
  A set of utilities for running few-shot prompting experiments on large-language models
  ☆126Updated 2 years ago
• reasoning-machines / CoCoGen
  Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)
  ☆86Updated 2 years ago
• yueyu1030 / AttrPrompt
  [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
  ☆156Updated 2 years ago
• gersteinlab / Struc-Bench
  [NAACL 2024] Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? https://aclanthology.org/2024.naa…
  ☆55Updated 5 months ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• qhjqhj00 / WebBrain
  ☆70Updated 2 years ago
• jlin816 / dialop
  DialOp: Decision-oriented dialogue environments for collaborative language agents
  ☆111Updated last year
• CarperAI / autocrit
  A repository for transformer critique learning and generation
  ☆89Updated 2 years ago
• schen149 / sub-sentence-encoder
  The official code repo for "Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations".
  ☆85Updated last year
• nyu-mll / ILF-for-code-generation
  ☆80Updated 9 months ago
• tianjunz / HIR
  ☆159Updated 2 years ago
• google / sycophancy-intervention
  Scripts for generating synthetic finetuning data for reducing sycophancy.
  ☆118Updated 2 years ago
• OSU-NLP-Group / AttrScore
  Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"
  ☆56Updated 2 years ago
• bhargaviparanjape / language-programmes
  ☆173Updated 2 years ago
• neulab / ragged
  Retrieval Augmented Generation Generalized Evaluation Dataset
  ☆59Updated 5 months ago
• GasolSun36 / Iter-CoT
  [NAACL 2024] Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
  ☆86Updated last year
• xsc1234 / Search-in-the-Chain
  Code for Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks (WWW 2024))
  ☆58Updated last month