Alternatives and similar repositories for Knowledge-Conflicts-Survey

Users that are interested in Knowledge-Conflicts-Survey are comparing it to the libraries listed below

• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• hrwise-nlp / ToolsMeetLLMs
  ☆31Updated 5 months ago
• oriyor / ret-robust
  Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
  ☆73Updated last year
• 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
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆165Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆117Updated last year
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆127Updated 8 months ago
• 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
• florin-git / The-Power-of-Noise
  Code and data for "The Power of Noise: Redefining Retrieval for RAG Systems"
  ☆64Updated 3 months ago
• dongguanting / DPA-RAG
  The code and data of DPA-RAG, accepted by WWW 2025 main conference.
  ☆63Updated 9 months ago
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆36Updated last year
• hyintell / awesome-refreshing-llms
  EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
  ☆135Updated last year
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆121Updated last year
• Jeryi-Sun / ReDEeP-ICLR
  The implement of paper:"ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability"
  ☆43Updated 4 months ago
• xhan77 / context-aware-decoding
  ☆52Updated 11 months ago
• MozerWang / Loong
  [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
  ☆138Updated 11 months ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆99Updated 11 months ago
• zhaochen0110 / conflictbank
  Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…
  ☆52Updated 5 months ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆28Updated last year
• HowieHwong / DataGen
  [ICLR'25] DataGen: Unified Synthetic Dataset Generation via Large Language Models
  ☆64Updated 7 months ago
• GAIR-NLP / alignment-for-honesty
  ☆75Updated last year
• Yiwei98 / TDG
  ☆28Updated last year
• Bolin97 / awesome-instruction-selector
  Paper list and datasets for the paper: A Survey on Data Selection for LLM Instruction Tuning
  ☆46Updated last year
• hongbinye / Cognitive-Mirage-Hallucinations-in-LLMs
  Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"
  ☆47Updated 2 years ago
• pldlgb / nuggets
  ☆83Updated last year
• zhiyuanhubj / UoT
  [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
  ☆102Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆82Updated 9 months ago
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆131Updated 11 months ago
• OpenMatch / Augmentation-Adapted-Retriever
  [ACL 2023] This is the code repo for our ACL'23 paper "Augmentation-Adapted Retriever Improves Generalization of Language Models as Gener…
  ☆60Updated last year