Alternatives and similar repositories for Bound-Cap-LLM:

Users that are interested in Bound-Cap-LLM are comparing it to the libraries listed below

• allenai / CommaQA
  Code and Dataset for Learning to Solve Complex Tasks by Talking to Agents
  ☆24Updated 2 years ago
• austrian-code-wizard / c3po
  ☆27Updated 2 weeks ago
• EleutherAI / semantic-memorization
  ☆44Updated 4 months ago
• r-three / fib
  ☆25Updated 2 years ago
• guilhermemr04 / scaling-zero-shot-retrieval
  No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
  ☆29Updated 2 years ago
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆77Updated 6 months ago
• kumar-shridhar / Screws
  SCREWS: A Modular Framework for Reasoning with Revisions
  ☆27Updated last year
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆46Updated last year
• UKPLab / incorporating-relevance
  Code for "Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking" (https://arxiv.org/abs/2…
  ☆13Updated 2 years ago
• qrdlgit / graph-of-thoughts
  Based on the tree of thoughts paper
  ☆48Updated last year
• allenai / smashed
  SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batchi…
  ☆33Updated 10 months ago
• stanfordnlp / ColBERT-QA
  Code for Relevance-guided Supervision for OpenQA with ColBERT (TACL'21)
  ☆41Updated 3 years ago
• voidism / SelfCite
  Implementation of "SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models"
  ☆27Updated last month
• pacman100 / peft-codegen-25
  ☆24Updated last year
• nlp-uoregon / ullme
  ☆19Updated 5 months ago
• McGill-NLP / instruct-qa
  Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"
  ☆83Updated 7 months ago
• stanford-crfm / halie
  ☆16Updated last year
• reasoning-machines / prompt-lib
  A set of utilities for running few-shot prompting experiments on large-language models
  ☆118Updated last year
• stanfordnlp / multi-distribution-retrieval
  Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval
  ☆14Updated last year
• CarperAI / squeakily
  A library for squeakily cleaning and filtering language datasets.
  ☆46Updated last year
• nbroad1881 / strideformer
  Using short models to classify long texts
  ☆21Updated 2 years ago
• BBN-E / ZS4IE
  ZS4IE: A Toolkit for Zero-Shot Information Extraction with Simple Verbalizations
  ☆26Updated 3 years ago
• Edward-Sun / RECITE
  Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI
  ☆94Updated 2 years ago
• ruiqi-zhong / D5
  The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions
  ☆69Updated 2 years ago
• TIGER-AI-Lab / StructLM
  Code and data for "StructLM: Towards Building Generalist Models for Structured Knowledge Grounding" (COLM 2024)
  ☆76Updated 5 months ago
• swarnaHub / ExplanationIntervention
  [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind
  ☆67Updated last year
• choosewhatulike / case2code
  ☆15Updated this week
• OSU-NLP-Group / AttrScore
  Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"
  ☆56Updated last year
• weaviate-tutorials / Hurricane
  Writing Blog Posts with Generative Feedback Loops!
  ☆47Updated last year
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆23Updated 2 months ago