Alternatives and similar repositories for perm-sc

Users that are interested in perm-sc are comparing it to the libraries listed below

• xlang-ai / BRIGHT
  [ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  ☆168Updated last month
• soyoung97 / ListT5
  official repository for ListT5
  ☆48Updated 8 months ago
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆48Updated last year
• zhudotexe / fanoutqa
  Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)
  ☆55Updated last month
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆77Updated last year
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆121Updated last year
• INK-USC / FiD-ICL
  "FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning" (ACL 2023)
  ☆15Updated 2 years ago
• yunx-z / COMBO
  Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)
  ☆22Updated 2 years ago
• ielab / PromptReps
  Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
  ☆51Updated 4 months ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆41Updated 2 years ago
• oriyor / ret-robust
  Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
  ☆73Updated last year
• luyug / Dense
  A toolkit for building dense retrievers with deep language models.
  ☆64Updated 4 years ago
• Hannibal046 / SelfMemory
  [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
  ☆62Updated 2 years ago
• AlexTMallen / adaptive-retrieval
  ☆189Updated 3 months ago
• ehsk / OpenQA-eval
  ACL 2023: Evaluating Open-Domain Question Answering in the Era of Large Language Models
  ☆47Updated last year
• qhjqhj00 / WebBrain
  ☆68Updated 2 years ago
• oriyor / reasoning-on-cots
  Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"
  ☆96Updated last year
• Alab-NII / 2wikimultihop
  ☆126Updated 2 years ago
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆127Updated 8 months ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• fengranMark / ConvGQR
  ConvGQR: Generative Query Reformulation for Conversational Search. A codebase for ACL 2023 accepted paper.
  ☆32Updated last year
• anthonywchen / RARR
  RARR: Researching and Revising What Language Models Say, Using Language Models
  ☆49Updated 2 years ago
• gankim / tree-of-clarifications
  🌲 Code for our EMNLP 2023 paper - 🎄 "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Mode…
  ☆52Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated last year
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• swj0419 / in-context-pretraining
  ☆54Updated last year
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆132Updated last year
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆148Updated 11 months ago
• AI21Labs / in-context-ralm
  ☆291Updated last year
• xsc1234 / Search-in-the-Chain
  Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks
  ☆58Updated last year