Alternatives and similar repositories for LLM-and-Law

Users that are interested in LLM-and-Law are comparing it to the libraries listed below

• princeton-nlp / ALCE
  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
  ☆490Updated 9 months ago
• HazyResearch / legalbench
  An open science effort to benchmark legal reasoning in foundation models
  ☆457Updated 10 months ago
• ParticleMedia / RAGTruth
  Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"
  ☆191Updated 7 months ago
• potsawee / selfcheckgpt
  SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
  ☆545Updated last year
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆488Updated last year
• abdoelsayed2016 / Legal-Question-Answering-Review
  ☆42Updated 2 years ago
• chentong0 / factoid-wiki
  Dense X Retrieval: What Retrieval Granularity Should We Use?
  ☆160Updated last year
• yixuantt / MultiHop-RAG
  Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)
  ☆343Updated 3 months ago
• jzbjyb / FLARE
  Forward-Looking Active REtrieval-augmented generation (FLARE)
  ☆643Updated last year
• AI21Labs / in-context-ralm
  ☆284Updated last year
• zorazrw / filco
  [Preprint] Learning to Filter Context for Retrieval-Augmented Generaton
  ☆192Updated last year
• asahi417 / lm-question-generation
  Multilingual/multidomain question generation datasets, models, and python library for question generation.
  ☆360Updated 10 months ago
• HuskyInSalt / CRAG
  Corrective Retrieval Augmented Generation
  ☆394Updated 9 months ago
• StonyBrookNLP / ircot
  Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
  ☆222Updated last year
• canghongjian / beam_retriever
  [NAACL 2024] End-to-End Beam Retrieval for Multi-Hop Question Answering
  ☆109Updated last year
• shmsw25 / FActScore
  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…
  ☆359Updated 3 months ago
• freshllms / freshqa
  Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
  ☆364Updated last week
• night-chen / ToolQA
  ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …
  ☆272Updated last year
• HITsz-TMG / awesome-llm-attributions
  A Survey of Attributions for Large Language Models
  ☆205Updated 10 months ago
• oneal2000 / DRAGIN
  Source code of DRAGIN, ACL 2024 main conference Long Paper (Oral)
  ☆149Updated 4 months ago
• carriex / recomp
  RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.
  ☆134Updated 2 months ago
• ad-freiburg / large-qa-datasets
  A collection of large question answering datasets
  ☆401Updated last year
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆369Updated last year
• Leezekun / Directional-Stimulus-Prompting
  [NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"
  ☆111Updated 2 years ago
• nlpyang / geval
  Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"
  ☆363Updated last year
• shizhediao / active-prompt
  Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"
  ☆243Updated last year
• chen700564 / RGB
  ☆324Updated last year
• wangcunxiang / LLM-Factuality-Survey
  The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
  ☆340Updated last year
• EdinburghNLP / awesome-hallucination-detection
  List of papers on hallucination detection in LLMs.
  ☆916Updated last month
• hitz-zentroa / GoLLIE
  Guideline following Large Language Model for Information Extraction
  ☆387Updated 8 months ago