hongbinye / Cognitive-Mirage-Hallucinations-in-LLMsLinks
Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"
☆47Updated last year
Alternatives and similar repositories for Cognitive-Mirage-Hallucinations-in-LLMs
Users that are interested in Cognitive-Mirage-Hallucinations-in-LLMs are comparing it to the libraries listed below
Sorting:
- ☆45Updated last year
- Do Large Language Models Know What They Don’t Know?☆97Updated 8 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆66Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆127Updated 9 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 11 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆59Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- self-adaptive in-context learning☆45Updated 2 years ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- 🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.☆140Updated 2 months ago
- ☆18Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- Scaling Sentence Embeddings with Large Language Models☆111Updated last year
- [ACL 2023] Code and Data Repo for Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"☆54Updated last year
- ☆138Updated last year
- ☆74Updated last year
- ☆42Updated last year
- ☆87Updated 2 years ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆178Updated last year
- Code for "Small Models are Valuable Plug-ins for Large Language Models"☆129Updated 2 years ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆106Updated 5 months ago
- A Survey of Hallucination in Large Foundation Models☆54Updated last year
- EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.☆133Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆68Updated last month
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- ☆64Updated 2 years ago